wherein, F_m(i, j) and F'_m(i, j) respectively represents the state of the (i, j) th block to be modified of the mth frame when information is not embedded and information is embedded,

expressing the embedding strength factor, K is the number of the video frames to be processed, and the value of K is a preset odd number, b [ m ]]Representing at least one bit of information to be embedded, Δ, in the information to be embedded of the first packet_i,jThe minimum perceptible difference corresponding to the block to be modified; in the first embodiment of the present application, the preset odd number is 5, and may be an odd number such as 7 or 9; the embedding strength factor is specifically 1.5

The block to be modified is a block of a pixel value to be modified in a different channel of each video frame, and here, the block to be modified in a luminance channel for obtaining one frame of the video frames to be processed is exemplified.

For example, after one frame of the video frames to be processed is obtained, the luminance channel of the video frame is divided into 32 × 32 blocks, and then each 32 × 32 block is divided into 16 8 × 8 blocks; calculating the DC coefficient of each 8 by 8 blocks, and obtaining the average DC coefficient of 32 by 32 blocks from the DC coefficients of 16 8 by 8 blocks; and then, each 8 × 8 block obtains a JND threshold according to the obtained average DC coefficient, wherein the obtaining manner of the JND threshold is described in detail in the prior art, and is not described herein again.

In the first embodiment of the present application, in order to reduce the intensity of the enlarged luminance block of the obtained target video file, i.e. to reduce the blockiness effect and increase the concealment of the embedded information, each 8 × 8 block obtained above is further divided into 16 2 × 2 blocks, and only 1 pixel and the JND threshold are selected in each 2 × 2 block for addition and subtraction.

It should be noted that, when the above is implemented specifically, other methods may also be adopted, such as the above ascending relation mapping information 0, the above descendingrelation mapping information 1, or mapping the multi-bit information in the embedded information by establishing other mathematical relations, such as a function, and details are not described here again.

In summary, the data processing method provided in the first embodiment of the present application includes: acquiring a carrier video file and acquiring information to be embedded; and embedding the information to be embedded into a brightness channel and a chrominance channel of the carrier video file to obtain a target video file, wherein the embedded information embedded into the brightness channel and the embedded information embedded into the chrominance channel meet a preset correlation condition. When the information to be embedded is embedded into the carrier video file, the information to be embedded is embedded into both the brightness channel and the chrominance channel of the carrier video file, and the embedded information embedded into the brightness channel and the embedded information embedded into the chrominance channel meet the preset correlation condition, so that when the embedded information is extracted from the target video file, namely the file to be detected, the embedded information embedded into the target video file can be accurately extracted according to the correlation of the embedded information acquired from the brightness channel and the chrominance channel of the target video file, and the accuracy of the extracted embedded information can be improved.

Corresponding to the data processing method provided in the first embodiment of the present application, the second embodiment of the present application further provides another data processing method, specifically for extracting target embedded information in a video file to be detected, please refer to fig. 3, which is a flowchart of another data processing method provided in the second embodiment of the present application, wherein a part of steps or details are described in detail in the first embodiment, so that the description herein is relatively simple, and for relevant points, refer to a part of descriptions in the method provided in the first embodiment of the present application, and the processing procedure described below is only schematic.

Fig. 3 is a flowchart of a data processing method according to a second embodiment of the present application, which is described below with reference to fig. 3.

Step S301, acquiring a video file to be detected.

Step S302, by judging whether the embedded information in the brightness channel of the video file to be detected and the embedded information in the chroma channel of the video file to be detected meet a preset correlation condition, target embedded information is obtained from the brightness channel and the chroma channel of the video file to be detected.

The obtaining of the target embedding information from the luminance channel and the chrominance channel of the video file to be detected by judging whether the embedding information in the luminance channel of the video file to be detected and the embedding information in the chrominance channel of the video file to be detected satisfy a preset correlation condition includes: acquiring at least one group of to-be-processed packet embedding information from the brightness channel and the chrominance channel of the to-be-detected video file by judging whether the embedding information in the brightness channel of the to-be-detected video file and the embedding information in the chrominance channel of the to-be-detected video file meet a preset correlation condition; and obtaining the target embedded information according to the at least one group of to-be-processed packet embedded information.

The acquiring at least one group of to-be-processed packet embedding information comprises: acquiring at least one group of original packet embedding information from the video file to be detected, wherein the original packet embedding information comprises first component information acquired from a brightness channel of the video file to be detected, second component information acquired from a color component channel of a chromaticity channel of the video file to be detected and third component information acquired from a saturation component channel of the chromaticity channel of the video file to be detected; and determining at least one group of to-be-processed packet embedding information from the at least one group of original packet embedding information by judging whether the correlation among the first component information, the second component information and the third component information is not less than a preset correlation threshold value.

When the target embedded information needs to be extracted from the video file to be detected, because the embedded information is respectively embedded into the luminance channel and the chrominance channel of the image to be detected in a mode of meeting the preset correlation condition in the embedding process, the target embedded information can be obtained from the luminance channel and the chrominance channel of the video file to be detected by respectively extracting the embedded information from the luminance channel and the chrominance channel of the image to be detected and judging whether the embedded information extracted from the luminance channel and the chrominance channel meets the preset correlation condition or not. In addition, because the information is embedded into the image in a grouping mode in the embedding process, the to-be-processed grouping embedded information is correspondingly and respectively extracted from the brightness channel and the chrominance channel of the to-be-detected image during extraction, and the to-be-processed grouping embedded information is spliced together, so that the target embedded information can be obtained.

Here, for example, the correlation of the packet embedding information obtained from the color component channels of the luminance channel and the chrominance channel of the video file to be detected is calculated, and specifically, the correlation of the packet embedding information obtained from the color component channels of the luminance channel and the chrominance channel of the video file to be detected can be calculated by the following formula:

wherein, W_YAnd W_vThe method comprises the steps of respectively representing to-be-determined packet embedding information extracted from color component channels of a brightness channel and a chrominance channel of a video file to be detected, and n represents the length of the to-be-determined packet embedding information. By comparing W_YAnd W_vAnd W_YAnd W_v'Can determine whether the video file to be detected contains embedded information, wherein W_v'Is W_vIn reverse order, i.e. W_vThe information in (1) is expressed in reverse order.

The acquiring at least one group of original packet embedding information from the video file to be detected comprises: traversing a brightness channel and a chrominance channel of the video file to be detected by a sliding window to obtain at least one group of original packet embedding information; the step length of the sliding window is a preset step length value, the length of the sliding window is a preset window length, and the preset window length corresponds to the length of a packet used when the embedded information packet is embedded into the carrier video file. It should be noted that, the preset step value is 1, and the preset window length corresponds to the length of the packet used when the embedded information packet is embedded in the carrier video file, that is, is the same as the preset second length value in the embedding process, for example, in the first embodiment of the present application, the preset second length is 31, and the value of the preset window length is also 31. Of course, in specific implementation, the preset step length value and the preset window length may also be set to other values according to specific needs, which are not described herein again.

Traversing the brightness channel and the chrominance channel of the video file to be detected by using the sliding window to obtain at least one group of original packet embedding information, wherein the method comprises the following steps: according to the sliding window, acquiring a first candidate video frame from the video file to be detected; acquiring first original packet embedding information from the first candidate video frame according to a preset mapping relation; and acquiring at least one group of original packet embedding information according to the first original packet embedding information.

The obtaining of the first original packet embedding information from the first candidate video frame according to the preset mapping relationship includes: acquiring a first video frame to be processed from the first candidate video frame, wherein the first video frame to be processed is a preset odd number of continuous video frames; acquiring first to-be-processed component embedded information containing at least one bit of information from a brightness channel of the first to-be-processed video frame, a color component channel and a saturation component channel of a chrominance channel according to the preset mapping relation; and acquiring the first original packet embedding information according to the first to-be-processed component embedding information.

The preset mapping relationship comprises: mapping first element information in an ascending relationship of luminance information between video frames in the first video frame to be processed, mapping the first element information in an ascending relationship of color information between video frames in the video frame to be processed, and mapping the first element information in an ascending relationship of saturation information between video frames in the video frame to be processed; mapping second element information in a descending relation of brightness information among the video frames in the video frames to be processed, mapping the second element information in a descending relation of color information among the video frames in the video frames to be processed, and mapping the second element information in a descending relation of saturation information among the video frames in the video frames to be processed; wherein the first element information and the second element information are basic elements constituting the target embedded information, and the first element information is different from the second element information. In the second embodiment of the present application, if no special description is provided, the first element information isinformation 1, and the second element information is information 0 for example, that is, the first element information and the second element information in the first embodiment of the present application correspond to each other; of course, in specific implementation, the first element information and the second element information may also be set to corresponding values according to different element contents included in the target embedded information, and details are not repeated here.

The acquiring, according to the preset mapping relationship, first to-be-processed component embedding information including at least one bit of information from a luminance channel and a chrominance channel of the first to-be-processed video frame includes: calculating the pixel sum of a brightness channel, the pixel sum of a color component channel of a chrominance channel and the pixel sum of a saturation component channel of the chrominance channel of each frame of the first video frame to be processed to obtain the ascending and descending order relation of the brightness information, the color information and the saturation information of the first video frame to be processed; and acquiring first to-be-processed component embedded information containing at least one bit of information according to the ascending and descending order relation and the preset mapping relation.

In addition, in order to resist frame rate variation, such as frame rate variation of a video file to be detected caused by recording of an image pickup device, such as a video camera, and further cause a problem that embedded information cannot be accurately obtained, when extracting the embedded information in the video file to be detected, it is also possible to: acquiring a video frame between a start frame and an intermediate frame of the first video frame to be processed as a first video frame to be calculated; acquiring a video frame between an intermediate frame and an end frame of the first video frame to be processed as a second video frame to be calculated; acquiring a pixel sum of a brightness channel, a pixel sum of a color component channel of a chrominance channel and a pixel sum of a saturation component channel of the chrominance channel of the first video frame to be calculated as a first brightness pixel sum, a first color pixel sum and a first saturation pixel sum; acquiring a pixel sum of a brightness channel, a pixel sum of a color component channel of a chrominance channel and a pixel sum of a saturation component channel of the chrominance channel of the second video frame to be calculated as a second brightness pixel sum, a second color pixel sum and a second saturation pixel sum; and obtaining the ascending and descending order relation of the brightness information, the color information and the saturation information of the first video frame to be processed by comparing the first brightness pixel with the second brightness pixel, comparing the first color pixel with the second color pixel, and comparing the first saturation pixel with the second saturation pixel.

For example, when information is extracted from a first video frame to be processed, which is composed of 5 consecutive frames of a video file to be detected, it is determined whether the luminance information, the color information, and the saturation information in the first video frame to be processed are in an ascending order or a descending order according to the sizes of the luminance information, the color information, and the saturation information of the 2 nd frame and the 4 th frame of the 5 consecutive frames. Of course, in the implementation, other methods may be adopted, for example, only the middle area of the first to-be-processed video frame is selected to determine the ascending/descending order relationship among the luminance information, the color information, and the saturation information.

The obtaining the target embedded information according to the at least one group of to-be-processed packet embedded information includes: acquiring the overlapping relation and the arrangement relation between the video frames corresponding to the at least one group of packet embedding information to be processed, and taking the packet embedding information to be processed, which has no overlapping relation between the corresponding video frames and has a continuous arrangement relation, as target packet embedding information; and obtaining the target embedded information according to the target grouping embedded information. As shown in fig. 3-a, which is a schematic diagram of target packet embedded information provided in the second embodiment of the present application. As can be seen from fig. 3-a, after a plurality of pieces of packet embedding information to be processed are obtained from a video file to be detected, because the pieces of packet embedding information to be processed may contain overlapping information, it is further necessary to obtain target packet embedding information that contains information that is not overlapped and is in a continuous relationship from the pieces of packet embedding information to be processed, and specifically, the target packet embedding information may be obtained by whether the overlapping relationship and the ordering relationship between video frames corresponding to the pieces of packet embedding information to be processed are continuous or not; furthermore, it can be inferred that the packet embedding information is not acquired from the luminance channel and the chrominance channel of the video file to be detected.

The obtaining the target embedded information according to the target packet embedded information includes: carrying out error correction processing on the target packet embedded information to obtain error-corrected target packet embedded information; and acquiring the target embedded information according to the error-corrected target packet embedded information. That is, in order to increase the accuracy of the extracted information, the error correction processing may be performed on the acquired target packet embedded information by using a method corresponding to the error correction method used in the embedding processing, and then the target packet embedded information that is subjected to error correction and does not include the error correction code is spliced together, so that the target embedded information can be obtained.

In summary, the data processing method provided in the second embodiment of the present application includes: acquiring a video file to be detected; and acquiring target embedded information from the brightness channel and the chrominance channel of the video file to be detected by judging whether the embedded information in the brightness channel of the video file to be detected and the embedded information in the chrominance channel of the video file to be detected meet a preset correlation condition. When the target embedded information is extracted from the video file to be detected, the method judges whether the embedded information obtained from the brightness channel of the video file to be detected and the embedded information obtained from the chroma channel of the video file to be detected meet the preset correlation condition, and then takes the embedded information meeting the preset correlation condition as the final target embedded information, so that the accuracy of the extracted target embedded information can be improved.

In a third embodiment of the present application, a data processing apparatus corresponding to the data processing method provided in the first embodiment of the present application is further provided, please refer to fig. 4, which is a schematic diagram of an embodiment of a data processing apparatus provided in the third embodiment of the present application. A data processing apparatus provided in a third embodiment of the present application includes:

the obtainingunit 401 is configured to obtain a carrier video file and obtain information to be embedded.

An embeddingunit 402, configured to embed the information to be embedded into a luminance channel and a chrominance channel of the carrier video file, so as to obtain a target video file, where the embedded information embedded into the luminance channel and the embedded information embedded into the chrominance channel satisfy a preset correlation condition.

Optionally, the embedding unit is specifically configured to: embedding the information to be embedded into a brightness channel of the carrier video file according to the sequential embedding sequence; embedding the information to be embedded into a color component channel of a chrominance channel of the carrier video file according to the embedding sequence of the reverse order; and embedding the information from the start bit to the middle bit of the information to be embedded and the information from the middle bit to the end bit of the information to be embedded into the saturation component channel of the chrominance channel of the carrier video file in the reverse embedding sequence.

Optionally, the embedding the at least one group of information to be embedded into the luminance channel and the chrominance channel of the carrier video file to obtain the target video file includes: acquiring first packet information to be embedded and second packet information to be embedded from the at least one group of packet information to be embedded, wherein the second packet information to be embedded is information after the first packet information to be embedded; embedding the first group of information to be embedded into a first video frame of the carrier video file, and embedding the second group of information to be embedded into a second video frame of the carrier video file to obtain the target video file, wherein the number of video frames contained in the first video frame corresponds to the length of the first group of information to be embedded, and the second video frame is a video frame after the first video frame.

Optionally, the mapping relationship is established by the following steps: acquiring a brightness channel of each video frame in the video frames to be processed, and a color component channel of a chrominance channel and a block to be modified in a saturation component channel; acquiring the minimum perceptible difference corresponding to the brightness channel of each video frame, and the color component channel and the saturation component channel of the chrominance channel; and adjusting brightness information, color information and saturation information between at least two video frames in the video frames to be processed according to the block to be modified and the just noticeable difference, and establishing the mapping relation.

Optionally, the adjusting, according to the block to be modified and the just noticeable difference, luminance information, color information, and saturation information between at least two video frames of the video frames to be processed to establish the mapping relationship includes: if the information to be processed in the first group of information to be embedded is the first element information, subtracting the minimum perceptible difference corresponding to the block to be modified from at least one pixel in the block to be modified corresponding to the video frame before the middle video frame of the video frame to be processed, and adding the minimum perceptible difference corresponding to the block to be modified and at least one pixel in the block to be modified corresponding to the video frame after the middle video frame of the video frame to be processed; and if the information of the information to be processed in the first group of information to be embedded is the second element information, adding at least one pixel in a block to be modified corresponding to a video frame before the middle video frame of the video frame to be processed and the minimum perceptible difference corresponding to the block to be modified, and subtracting the minimum perceptible difference corresponding to the block to be modified from at least one pixel in the block to be modified corresponding to a video frame after the middle video frame of the video frame to be processed.

Optionally, the block to be modified is a 2 × 2 data block.

In correspondence with the data processing method provided in the first embodiment of the present application, a fourth embodiment of the present application further provides an electronic device, please refer to fig. 5, which is a schematic diagram of an electronic device provided in the fourth embodiment of the present application. A fourth embodiment of the present application provides an electronic device including:

aprocessor 501;

memory 502 for a program of a data processing method, which device, when powered on and running said program of a data processing method by said processor, performs the following steps:

acquiring a carrier video file and acquiring information to be embedded;

and embedding the information to be embedded into a brightness channel and a chrominance channel of the carrier video file to obtain a target video file, wherein the embedded information embedded into the brightness channel and the embedded information embedded into the chrominance channel meet a preset correlation condition.

Corresponding to the data processing method provided by the first embodiment of the present application, the fifth embodiment of the present application further provides a storage device, since the storage device embodiment is substantially similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description of the method embodiment, and the storage device embodiment described below is only illustrative. A storage device according to a fifth embodiment of the present application stores a program of a data processing method, the program being executed by a processor to perform the steps of:

acquiring a carrier video file and acquiring information to be embedded;

In correspondence with another data processing method provided by the second embodiment of the present application, a sixth embodiment of the present application further provides another data processing apparatus, please refer to fig. 6, which is a schematic diagram of an embodiment of another data processing apparatus provided by the sixth embodiment of the present application. A data processing apparatus provided in a sixth embodiment of the present application includes:

the to-be-detected videofile acquiring unit 601 is configured to acquire a to-be-detected video file.

An embeddedinformation obtaining unit 602, configured to obtain target embedded information from the luminance channel and the chrominance channel of the video file to be detected by determining whether embedded information in the luminance channel of the video file to be detected and embedded information in the chrominance channel of the video file to be detected satisfy a preset correlation condition.

Optionally, the embedded information obtaining unit is specifically configured to: acquiring at least one group of to-be-processed packet embedding information from the brightness channel and the chrominance channel of the to-be-detected video file by judging whether the embedding information in the brightness channel of the to-be-detected video file and the embedding information in the chrominance channel of the to-be-detected video file meet a preset correlation condition; and obtaining the target embedded information according to the at least one group of to-be-processed packet embedded information.

Optionally, the preset mapping relationship includes: mapping first element information in an ascending relationship of luminance information between video frames in the first video frame to be processed, mapping the first element information in an ascending relationship of color information between video frames in the video frame to be processed, and mapping the first element information in an ascending relationship of saturation information between video frames in the video frame to be processed; and mapping second element information according to the descending relation of the brightness information among the video frames in the video frames to be processed, mapping the second element information according to the descending relation of the color information among the video frames in the video frames to be processed, and mapping the second element information according to the descending relation of the saturation information among the video frames in the video frames to be processed.

In a seventh embodiment of the present application, corresponding to the data processing method provided in the second embodiment of the present application, another electronic device is provided, and since the embodiment of the electronic device is substantially similar to the embodiment of the method, the description is relatively simple, and for relevant points, reference may be made to part of the description of the embodiment of the method, and the embodiment of the electronic device described below is only illustrative. A seventh embodiment of the present application provides an electronic device including:

a processor;

acquiring a video file to be detected;

and acquiring target embedded information from the brightness channel and the chrominance channel of the video file to be detected by judging whether the embedded information in the brightness channel of the video file to be detected and the embedded information in the chrominance channel of the video file to be detected meet a preset correlation condition.

Corresponding to the data processing method provided by the second embodiment of the present application, the eighth embodiment of the present application also provides another storage device, since the embodiment of the storage device is substantially similar to the embodiment of the method, the description is relatively simple, and for the relevant points, reference may be made to part of the description of the embodiment of the method, and the embodiment of the storage device described below is only illustrative. A storage device according to an eighth embodiment of the present application stores a program of a data processing method, the program being executed by a processor to perform the steps of:

acquiring a video file to be detected;

In correspondence with the data processing method provided in the first embodiment of the present application, a ninth embodiment of the present application further provides a data processing method, please refer to fig. 7, which is a flowchart of the data processing method provided in the ninth embodiment of the present application, wherein a part of steps or details are described in detail in the first embodiment, so that the description herein is relatively simple, and for the relevant points, reference may be made to a part of the description in the above method embodiment, and the processing procedure described below is only exemplary.

Fig. 7 is a flowchart of a data processing method according to a ninth embodiment of the present application, which is described below with reference to fig. 7.

Step S701, a carrier object is obtained, and information to be embedded is obtained.

The carrier object is an object corresponding to the carrier video file in the first embodiment of the present application, and contains a video frame with a length that meets the requirement of embedding information to be embedded into the object, and the object is in YUV format, or can be converted into YUV format.

For example, the carrier object may be a streaming media (streaming media) file, such as a video stream that is provided for an online video-on-demand platform or an online live platform and can be directly streamed; or, the video stream may also be transmitted in a Virtual Reality (VR) or Augmented Reality (AR) scene; alternatively, the image may also be an image containing several continuous frames, such as a dynamic image in a gif (graphics Interchange format) format; of course, as the technology advances, the carrier object may be other types of objects, and is not limited specifically herein.

Step S702, embedding the information to be embedded into a luminance channel and a chrominance channel of the carrier object to obtain a target object, where the embedded information embedded into the luminance channel and the embedded information embedded into the chrominance channel satisfy a preset correlation condition.

Corresponding to the data processing method provided in the ninth embodiment of the present application, a tenth embodiment of the present application further provides a data processing apparatus, please refer to fig. 8, which is a schematic diagram of an embodiment of a data processing apparatus provided in the tenth embodiment of the present application. A tenth embodiment of the present application provides a data processing apparatus including:

anobject obtaining unit 801, configured to obtain a carrier object and obtain information to be embedded.

Aninformation embedding unit 802, configured to embed the information to be embedded into a luminance channel and a chrominance channel of the carrier object to obtain a target object, where the embedding information embedded into the luminance channel and the embedding information embedded into the chrominance channel satisfy a preset correlation condition.

Corresponding to the data processing method provided by the ninth embodiment of the present application, the eleventh embodiment of the present application further provides an electronic device, since the embodiment of the electronic device is substantially similar to the embodiment of the method, the description is relatively simple, and for relevant points, reference may be made to part of the description of the embodiment of the method, and the embodiment of the electronic device described below is only illustrative. An electronic device provided in an eleventh embodiment of the present application includes:

a processor;

acquiring a carrier object and acquiring information to be embedded;

Corresponding to the data processing method provided by the ninth embodiment of the present application, the twelfth embodiment of the present application further provides a storage device, since the storage device embodiment is substantially similar to the method embodiment, the description is relatively simple, and for relevant points, reference may be made to part of the description of the method embodiment, and the storage device embodiment described below is only illustrative. A storage device according to a twelfth embodiment of the present application stores a program of a data processing method, the program being executed by a processor and performing the steps of:

acquiring a carrier object and acquiring information to be embedded;

Corresponding to the data processing method provided in the ninth embodiment of the present application, the thirteenth embodiment of the present application further provides a data processing method, specifically configured to extract target embedded information in an object to be detected, please refer to fig. 9, which is a flowchart of the data processing method provided in the thirteenth embodiment of the present application, wherein a part of steps or details are described in detail in the first embodiment and the ninth embodiment, so that the description herein is relatively simple, and for relevant points, reference may be made to part of descriptions in the above method embodiments, and the processing procedure described below is only schematic.

Fig. 9 is a flowchart of a data processing method according to a thirteenth embodiment of the present application, which is described below with reference to fig. 8.

Step S901, an object to be detected is acquired.

The object to be detected is an object corresponding to the target object in which the embedded information is embedded in the luminance channel and the chrominance channel, respectively, as described in the first embodiment and the tenth embodiment of the present application.

Step S902, obtaining target embedding information from the luminance channel and the chrominance channel of the object to be detected by determining whether the embedding information in the luminance channel of the object to be detected and the embedding information in the chrominance channel of the object to be detected satisfy a preset correlation condition.

Corresponding to the data processing method provided in the thirteenth embodiment of the present application, a data processing apparatus is further provided in the fourteenth embodiment of the present application, please refer to fig. 10, which is a schematic diagram of an embodiment of a data processing apparatus provided in the fourteenth embodiment of the present application. A data processing apparatus provided in a fourteenth embodiment of the present application includes:

anobject acquisition unit 1001 is configured to acquire an object to be detected.

An embeddedinformation obtaining unit 1002, configured to obtain target embedded information from the luminance channel and the chrominance channel of the object to be detected by determining whether embedded information in the luminance channel of the object to be detected and embedded information in the chrominance channel of the object to be detected satisfy a preset correlation condition.

Corresponding to the data processing method provided in the thirteenth embodiment of the present application, the fifteenth embodiment of the present application further provides an electronic device, which is substantially similar to the method embodiment, so that the description is relatively simple, and for the relevant points, reference may be made to part of the description of the method embodiment, and the electronic device embodiments described below are only illustrative. A fifteenth embodiment of the present application provides an electronic device comprising:

a processor;

acquiring an object to be detected;

and acquiring target embedded information from the brightness channel and the chromaticity channel of the object to be detected by judging whether the embedded information in the brightness channel of the object to be detected and the embedded information in the chromaticity channel of the object to be detected meet a preset correlation condition.

Corresponding to the data processing method provided in the thirteenth embodiment of the present application, the sixteenth embodiment of the present application further provides a storage device, since the storage device embodiment is substantially similar to the method embodiment, so that the description is relatively simple, and for the relevant points, reference may be made to part of the description of the method embodiment, and the storage device embodiment described below is only illustrative. A sixteenth embodiment of the present application provides a storage device, in which a program of a data processing method is stored, where the program is executed by a processor, and executes the following steps:

acquiring an object to be detected;

Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Claims

1. A data processing method, comprising:

acquiring a carrier video file and acquiring information to be embedded;

2. The data processing method according to claim 1, wherein the information to be embedded is embedded in a luminance channel and a chrominance channel of the carrier video file, respectively, by the following steps, such that a correlation between the embedded information embedded in the luminance channel and the embedded information embedded in the chrominance channel is not less than a preset correlation threshold:

embedding the information to be embedded into a brightness channel of the carrier video file according to the sequential embedding sequence;

embedding the information to be embedded into a color component channel of a chrominance channel of the carrier video file according to the embedding sequence of the reverse order;

and embedding the information from the start bit to the middle bit of the information to be embedded and the information from the middle bit to the end bit of the information to be embedded into the saturation component channel of the chrominance channel of the carrier video file in the reverse embedding sequence.

3. The data processing method according to claim 1 or 2, wherein said embedding the information to be embedded into a luminance channel and a chrominance channel of the carrier video file to obtain a target video file comprises:

grouping the information to be embedded according to a preset grouping rule to obtain at least one group of grouped information to be embedded;

and embedding the at least one group of information to be embedded into a brightness channel and a chrominance channel of the carrier video file to obtain the target video file.

4. The data processing method according to claim 3, wherein said embedding the at least one group of information to be embedded into the luminance channel and the chrominance channel of the carrier video file to obtain the target video file comprises:

acquiring first packet information to be embedded and second packet information to be embedded from the at least one group of packet information to be embedded, wherein the second packet information to be embedded is information after the first packet information to be embedded;

embedding the first group of information to be embedded into a first video frame of the carrier video file, and embedding the second group of information to be embedded into a second video frame of the carrier video file to obtain the target video file, wherein the number of video frames contained in the first video frame corresponds to the length of the first group of information to be embedded, and the second video frame is a video frame after the first video frame.

5. The data processing method according to claim 4, wherein said embedding the first packet of information to be embedded into the first video frame of the carrier video file comprises:

embedding the first group of information to be embedded into a brightness channel of the first video frame according to a sequential embedding sequence;

embedding the first group of information to be embedded into a color component channel of a chrominance channel of the first video frame according to the embedding sequence of the reverse order;

and embedding the information from the start bit to the middle bit of the first packet of information to be embedded and the information from the middle bit to the end bit of the first packet of information to be embedded into the saturation component channel of the chrominance channel of the first video frame in the reverse embedding sequence.

6. The data processing method according to claim 5, wherein said embedding the first packet of information to be embedded into the first video frame of the carrier video file comprises:

acquiring a video frame to be processed from the first video frame, wherein the video frame to be processed is a preset odd number of continuous video frames;

and embedding at least one bit of information in the first group of information to be embedded into a luminance channel and a chrominance channel of the video frame to be processed.

7. The data processing method according to claim 6, wherein said embedding at least one bit of information in the first packet of information to be embedded into the luminance channel and the chrominance channel of the video frame to be processed comprises:

adjusting brightness information, color information and saturation information between at least two video frames in the video frames to be processed, and establishing a mapping relation between the video frames to be processed and the at least one bit of information;

and embedding the at least one bit of information into a brightness channel and a chroma channel of the video frame to be processed through the mapping relation.

8. The data processing method of claim 7, wherein the mapping relationship comprises:

mapping first element information in an ascending relationship of brightness information between video frames in the video frames to be processed, mapping the first element information in an ascending relationship of color information between video frames in the video frames to be processed, and mapping the first element information in an ascending relationship of saturation information between video frames in the video frames to be processed;

mapping second element information in a descending relation of brightness information among the video frames in the video frames to be processed, mapping the second element information in a descending relation of color information among the video frames in the video frames to be processed, and mapping the second element information in a descending relation of saturation information among the video frames in the video frames to be processed;

wherein the first element information and the second element information are basic elements constituting the information to be embedded, and the first element information is different from the second element information.

9. The data processing method of claim 8, wherein the mapping relationship is established by:

acquiring a brightness channel of each video frame in the video frames to be processed, and a color component channel of a chrominance channel and a block to be modified in a saturation component channel;

acquiring the minimum perceptible difference corresponding to the brightness channel of each video frame, and the color component channel and the saturation component channel of the chrominance channel;

and adjusting brightness information, color information and saturation information between at least two video frames in the video frames to be processed according to the block to be modified and the just noticeable difference, and establishing the mapping relation.

10. The data processing method according to claim 9, wherein said adjusting luminance information, color information and saturation information between at least two of the video frames to be processed according to the block to be modified and the just noticeable difference, and establishing the mapping relationship comprises:

if the information to be processed in the first group of information to be embedded is the first element information, subtracting the minimum perceptible difference corresponding to the block to be modified from at least one pixel in the block to be modified corresponding to the video frame before the middle video frame of the video frame to be processed, and adding the minimum perceptible difference corresponding to the block to be modified and at least one pixel in the block to be modified corresponding to the video frame after the middle video frame of the video frame to be processed;

and if the information of the information to be processed in the first group of information to be embedded is the second element information, adding at least one pixel in a block to be modified corresponding to a video frame before the middle video frame of the video frame to be processed and the minimum perceptible difference corresponding to the block to be modified, and subtracting the minimum perceptible difference corresponding to the block to be modified from at least one pixel in the block to be modified corresponding to a video frame after the middle video frame of the video frame to be processed.

11. The data processing method of claim 9, wherein the block to be modified is a 2 x 2 block of data.

12. The data processing method according to claim 3, wherein the grouping the information to be embedded according to a preset grouping rule to obtain at least one group of grouped information to be embedded comprises:

grouping the information to be embedded by a preset first length to obtain at least one group of information to be processed;

and adding error correction information into the at least one group of information of the packets to be processed to obtain at least one group of information of the packets to be embedded, wherein the length of the information of the packets to be embedded is a preset second length, and the preset second length is greater than the preset first length.

13. A data processing method, comprising:

acquiring a video file to be detected;

14. The data processing method of claim 13, comprising:

acquiring at least one group of to-be-processed packet embedding information from the brightness channel and the chrominance channel of the to-be-detected video file by judging whether the embedding information in the brightness channel of the to-be-detected video file and the embedding information in the chrominance channel of the to-be-detected video file meet a preset correlation condition;

and obtaining the target embedded information according to the at least one group of to-be-processed packet embedded information.

15. The data processing method of claim 14, wherein the obtaining at least one set of packet embedding information to be processed comprises:

acquiring at least one group of original packet embedding information from the video file to be detected, wherein the original packet embedding information comprises first component information acquired from a brightness channel of the video file to be detected, second component information acquired from a color component channel of a chromaticity channel of the video file to be detected and third component information acquired from a saturation component channel of the chromaticity channel of the video file to be detected;

and determining at least one group of to-be-processed packet embedding information from the at least one group of original packet embedding information by judging whether the correlation among the first component information, the second component information and the third component information is not less than a preset correlation threshold value.

16. The data processing method according to claim 15, wherein said obtaining at least one set of original packet embedding information from the video file to be detected comprises:

traversing a brightness channel and a chrominance channel of the video file to be detected by a sliding window to obtain at least one group of original packet embedding information;

the step length of the sliding window is a preset step length value, the length of the sliding window is a preset window length, and the preset window length corresponds to the length of a packet used when the embedded information packet is embedded into the carrier video file.

17. The data processing method of claim 16, wherein traversing the luminance channel and the chrominance channel of the video file to be detected with a sliding window to obtain at least one set of original packet embedding information comprises:

according to the sliding window, acquiring a first candidate video frame from the video file to be detected;

acquiring first original packet embedding information from the first candidate video frame according to a preset mapping relation;

and acquiring at least one group of original packet embedding information according to the first original packet embedding information.

18. The data processing method of claim 17, wherein the obtaining first original packet embedding information from the first candidate video frame according to the preset mapping relationship comprises:

acquiring a first video frame to be processed from the first candidate video frame, wherein the first video frame to be processed is a preset odd number of continuous video frames;

acquiring first to-be-processed component embedded information containing at least one bit of information from a brightness channel of the first to-be-processed video frame, a color component channel and a saturation component channel of a chrominance channel according to the preset mapping relation;

and acquiring the first original packet embedding information according to the first to-be-processed component embedding information.

19. The data processing method of claim 18, wherein the preset mapping relationship comprises:

mapping first element information in an ascending relationship of luminance information between video frames in the first video frame to be processed, mapping the first element information in an ascending relationship of color information between video frames in the video frame to be processed, and mapping information in an ascending relationship of saturation information between video frames in the video frame to be processed;

wherein the first element information and the second element information are basic elements constituting the target embedded information, and the first element information is different from the second element information.

20. The data processing method of claim 19, wherein the obtaining, according to the preset mapping relationship, first to-be-processed component embedding information including at least one bit of information from a luminance channel and a chrominance channel of the first to-be-processed video frame comprises:

calculating the pixel sum of a brightness channel, the pixel sum of a color component channel of a chrominance channel and the pixel sum of a saturation component channel of the chrominance channel of each frame of the first video frame to be processed to obtain the ascending and descending order relation of the brightness information, the color information and the saturation information of the first video frame to be processed;

and acquiring first to-be-processed component embedded information containing at least one bit of information according to the ascending and descending order relation and the preset mapping relation.

21. The data processing method of claim 20, comprising:

acquiring a video frame between a start frame and an intermediate frame of the first video frame to be processed as a first video frame to be calculated;

acquiring a video frame between an intermediate frame and an end frame of the first video frame to be processed as a second video frame to be calculated;

acquiring a pixel sum of a brightness channel, a pixel sum of a color component channel of a chrominance channel and a pixel sum of a saturation component channel of the chrominance channel of the first video frame to be calculated as a first brightness pixel sum, a first color pixel sum and a first saturation pixel sum;

acquiring a pixel sum of a brightness channel, a pixel sum of a color component channel of a chrominance channel and a pixel sum of a saturation component channel of the chrominance channel of the second video frame to be calculated as a second brightness pixel sum, a second color pixel sum and a second saturation pixel sum;

and obtaining the ascending and descending order relation of the brightness information, the color information and the saturation information of the first video frame to be processed by comparing the first brightness pixel with the second brightness pixel, comparing the first color pixel with the second color pixel, and comparing the first saturation pixel with the second saturation pixel.

22. The data processing method according to claim 14, wherein said obtaining the target embedding information according to the at least one group of packet embedding information to be processed comprises:

acquiring the overlapping relation and the arrangement relation between the video frames corresponding to the at least one group of packet embedding information to be processed, and taking the packet embedding information to be processed, which has no overlapping relation between the corresponding video frames and has a continuous arrangement relation, as target packet embedding information;

and obtaining the target embedded information according to the target grouping embedded information.

23. The data processing method of claim 22, wherein obtaining the target embedded information according to the target packet embedded information comprises:

carrying out error correction processing on the target packet embedded information to obtain error-corrected target packet embedded information;

and acquiring the target embedded information according to the error-corrected target packet embedded information.

24. A data processing apparatus, comprising:

the acquisition unit is used for acquiring a carrier video file and acquiring information to be embedded;

and the embedding unit is used for embedding the information to be embedded into a brightness channel and a chrominance channel of the carrier video file to obtain a target video file, wherein the embedded information embedded into the brightness channel and the embedded information embedded into the chrominance channel meet a preset correlation condition.

25. An electronic device, comprising:

a processor;

acquiring a carrier video file and acquiring information to be embedded;

26. A storage device characterized by storing a program of a data processing method, the program being executed by a processor to execute the steps of:

acquiring a carrier video file and acquiring information to be embedded;

27. A data processing apparatus, comprising:

the device comprises a to-be-detected video file acquisition unit, a to-be-detected video file acquisition unit and a to-be-detected video file acquisition unit, wherein the to-be-detected video file acquisition unit is used for acquiring a to-be-detected video file;

and the embedded information acquisition unit is used for acquiring target embedded information from the brightness channel and the chrominance channel of the video file to be detected by judging whether the embedded information in the brightness channel of the video file to be detected and the embedded information in the chrominance channel of the video file to be detected meet a preset correlation condition or not.

28. An electronic device, comprising:

a processor;

acquiring a video file to be detected;

29. A storage device characterized by storing a program of a data processing method, the program being executed by a processor to execute the steps of:

acquiring a video file to be detected;

30. A data processing method, comprising:

acquiring a carrier object and acquiring information to be embedded;

31. A data processing apparatus, comprising:

the object acquisition unit is used for acquiring the carrier object and acquiring the information to be embedded;

and the information embedding unit is used for embedding the information to be embedded into a luminance channel and a chrominance channel of the carrier object to obtain a target object, wherein the embedded information embedded into the luminance channel and the embedded information embedded into the chrominance channel meet a preset correlation condition.

32. An electronic device, comprising:

a processor;

acquiring a carrier object and acquiring information to be embedded;

33. A storage device characterized by storing a program of a data processing method, the program being executed by a processor to execute the steps of:

acquiring a carrier object and acquiring information to be embedded;

34. A data processing method, comprising:

acquiring an object to be detected;

35. A data processing apparatus, comprising:

the object acquisition unit is used for acquiring an object to be detected;

and the embedded information acquisition unit is used for acquiring target embedded information from the brightness channel and the chrominance channel of the object to be detected by judging whether the embedded information in the brightness channel of the object to be detected and the embedded information in the chrominance channel of the object to be detected meet a preset correlation condition.

36. An electronic device, comprising:

a processor;

acquiring an object to be detected;

37. A storage device characterized by storing a program of a data processing method, the program being executed by a processor to execute the steps of:

acquiring an object to be detected;