US20150254759A1 - Associating item images with item catalog data - Google Patents

Abstract

Disclosed are various embodiments for associating item images with item catalog data. An image of an item is obtained in one or more computing devices. The item is identified from the image based at least in part on data derived from reference images that are each associated with one or more items. Catalog data corresponding to the item is associated with the image. The catalog data is added to a merchant catalog in an electronic marketplace.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS
• This application is a Continuation of and claims priority to U.S. application Ser. No. 12/852,980 titled “Associating Item Images with Item Catalog Data”, filed Aug. 9, 2010, which is incorporated herein by reference in its entirety.
BACKGROUND
• Establishing an online catalog may be a frustrating process for a merchant. For example, a merchant may have to submit a spreadsheet or a file of comma-separated values including descriptions of all the items that the merchant would like to sell. Such descriptions may include titles, keywords, shipping weights, tax classifications, hazardous classifications, inventory quantities, and other descriptive material. Creating such a spreadsheet or file manually may be time consuming and prone to errors.
BRIEF DESCRIPTION OF THE DRAWINGS
• Many aspects of the present disclosure can be better understood with reference to the following drawings. The components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the disclosure. Moreover, in the drawings, like reference numerals designate corresponding parts throughout the several views.
• FIG. 1 is a drawing of an example of an electronic marketplace according to an embodiment of the present disclosure.
• FIGS. 2 and 3 are drawings of networked environments according to various embodiments of the present disclosure.
• FIG. 4 is a flowchart illustrating one example of functionality implemented as portions of an item identification application executed in a client in the networked environment ofFIG. 2 or in a computing device in the networked environment ofFIG. 3 according to various embodiments of the present disclosure.
• FIG. 5 is a schematic block diagram that provides one example illustration of a computing device employed in the networked environment ofFIG. 3 according to various embodiments of the present disclosure.
DETAILED DESCRIPTION
• The present disclosure relates to associating item images with item catalog data. As used herein, the term “item” may refer to a product, good, service, software download, multimedia download, social networking profile, or other item that may be offered for sale, purchase, rental, lease, download, and/or any other form of consumption as may be appreciated. Embodiments of the present disclosure allow a merchant to add items to an online catalog by simply providing images of the items.
• With reference toFIG. 1, shown is a drawing of one example of anelectronic marketplace100. Anelectronic marketplace100 facilitates the offering of a plurality of items103 for sale, purchase, rental, lease, download, and/or any other form of consumption by a plurality of merchants106. Although the merchants106 may have separate catalogs of items103, the merchants106 may share a master catalog of items103 in various embodiments. In other words, multiple merchants106 may sell the same type of item103 using the same description.
• As a non-limiting example, inFIG. 1,merchants106a,106b, and106N all sellitem103a, which may have a common description. Meanwhile,items103band103N may be sold bymerchants106aand106N, respectively. Accordingly, the descriptions ofitems103band103N may be exclusively in separate catalogs associated with themerchants106aand106N or may also be in a master catalog even though they are each associated with one merchant106. Likewise, some items103 with descriptions in the master catalog, such asitem103c, may not be offered by any merchant106 in theelectronic marketplace100. Descriptions of such items103 may be provided, for example, by manufacturers or distributors of the items103 in anticipation of the items103 possibly being offered by merchants106 in theelectronic marketplace100 in the future.
• The use of a master catalog in anelectronic marketplace100 may allow a merchant user to employ the system presented herein to associate images of items103 with preexisting descriptions of the items103 from the catalog data. Accordingly, the merchant user may avoid having to fill out a form or spreadsheet with potentially dozens of attributes to describe an item103. In addition, an image of an item103 may be more quickly mapped to an image of an item103 in the master catalog than a user-supplied title of an item103 that may not match a stored title. Further, it may be significantly easier for a merchant106 to take digital photos of the items103 in inventory than to search for or manually enter descriptions of the items103. In the following discussion, a general description of the system and its components is provided, followed by a discussion of the operation of the same.
• Referring next toFIG. 2, shown is anetworked environment200 according to various embodiments. Thenetworked environment200 includes one ormore computing devices203, one ormore clients206, and one ormore computing devices209 in data communication by way of anetwork212. Thenetwork212 includes, for example, the Internet, intranets, extranets, wide area networks (WANs), local area networks (LANs), wired networks, wireless networks, or other suitable networks, etc., or any combination of two or more such networks.
• Thecomputing device203 may comprise, for example, a server computer or any other system providing computing capability. Alternatively, a plurality ofcomputing devices203 may be employed that are arranged, for example, in one or more server banks or computer banks or other arrangements. For example, a plurality ofcomputing devices203 together may comprise, for example, a cloud computing resource, a grid computing resource, and/or any other distributed computing arrangement.Such computing devices203 may be located in a single installation or may be dispersed among many different geographical locations. For purposes of convenience, thecomputing device203 is referred to herein in the singular. Even though thecomputing device203 is referred to in the singular, it is understood that a plurality ofcomputing devices203 may be employed in the various arrangements as described above.
• Various applications and/or other functionality may be executed in thecomputing device203 according to various embodiments. Also, various data is stored in adata store215 that is accessible to thecomputing device203. Thedata store215 may be representative of a plurality ofdata stores215 as can be appreciated. The data stored in thedata store215, for example, is associated with the operation of the various applications and/or functional entities described below.
• The components executed on thecomputing device203, for example, include anelectronic commerce application218, an electronicmarketplace management application221, and other applications, services, processes, systems, engines, or functionality not discussed in detail herein. Theelectronic commerce application218 is executed in order to facilitate the online purchase of items103 (FIG. 1) from merchants106 (FIG. 1) in an electronic marketplace100 (FIG. 1) over thenetwork212. Theelectronic commerce application218 also performs various backend functions associated with the online presence of a merchant in order to facilitate the online purchase of items103 as will be described. For example, theelectronic commerce application218 generates network pages such as web pages or other types of network content that are provided toclients206 for the purposes of selecting items for purchase, rental, download, lease, or other forms of consumption.
• The electronicmarketplace management application221 is executed in order to facilitate management of the presence of merchants106 in anelectronic marketplace100. To this end, the electronicmarketplace management application221 may facilitate managing an online catalog of merchants106, including adding new items103, removing items103, editing data associated with items103, and other tasks. In various embodiments, the electronicmarketplace management application221 may be structured with various portions on the server side and executing in thecomputing device203 and various portions on the client side and executing in theclient206. In one non-limiting example, the server portions of the electronicmarketplace management application221 may be configured to receive a data feed and/or commands from a client portion of the electronicmarketplace management application221. In another non-limiting example, the server portions of the electronicmarketplace management application221 may generate network pages providing a user interface.
• The data stored in thedata store215 includes, for example,master catalog data224,merchant catalog data227,reference images230,network page data233,item sales data236,page view data239,marketplace offering data242, customer feedback data245, and potentially other data. Themaster catalog data224 includes any data that describes items103 present in a master catalog of anelectronic marketplace100. Such data may include titles, textual descriptions, images and other multimedia, keywords, shipping weights, shipping restrictions, prices, tax classifications, categories, unique identifiers, and so on. Although the items103 described in themaster catalog data224 may be associated with offerings in theelectronic marketplace100, some of the data may correspond to items103 with no current offerings. Such data may be provided, for example, by a manufacturer, distributor, or another third party, or may have been previously associated with offerings in theelectronic marketplace100.
• Themerchant catalog data227 may include data describing items103 that are offered by merchants106 of theelectronic marketplace100. Descriptions of items103 that are present in the master catalog may be linked to a merchant catalog within themerchant catalog data227. Alternatively, the descriptions may be duplicated within themerchant catalog data227. In one embodiment, the descriptions may be copied intomerchant catalog data227 when a merchant106 edits one or more attributes. Alternatively, edits to descriptions of items103 may be stored within themaster catalog data224. Themerchant catalog data227 may also include descriptions of items103 added by a merchant106 that are not in the master catalog.
• Thereference images230 may include a plurality of images that are known to depict items103 in the master catalog and/or in catalogs of the merchants106. Thereference images230 may include actual image data or samples thereof. In one embodiment, thereference images230 may include data derived from the actual image data, including, for example, image fingerprints or hashes, histograms based on image characteristics, extracted features such as text visible in the images, and other data relating to image characteristics that may facilitate accurate and efficient detection of the images.
• Thenetwork page data233 may include any data used in generating network pages that may be served up by theelectronic commerce application218 or the electronicmarketplace management application221. As a non-limiting example, thenetwork page data233 may include templates, code, scripts, style sheets, graphics, hypertext markup language (HTML) data, extensible markup language (XML) data, and/or any other data that may be used in generating network pages. Theitem sales data236 may include data related to past sales, downloads, leases, or other forms of consumption of items103 through theelectronic marketplace100 and/or otherelectronic marketplaces100. Thepage view data239 may include logs and/or other data relating to network page views through theelectronic commerce application218. In particular, thepage view data239 may be correlated by item103 to indicate, for example, the number of views of a detail page for an item103, the number of times an item103 has been added to shopping carts, and other statistics.
• Themarketplace offering data242 may describe past and present offerings of items103 in theelectronic marketplace100 by merchants106. The customer feedback data245 may include customer feedback about items103. As non-limiting examples, the customer feedback data245 may include customer reviews, customer ratings, and other forms of feedback.
• Theclient206 is representative of a plurality of client devices that may be coupled to thenetwork212. Theclient206 may comprise, for example, a processor-based system such as a computer system. Such a computer system may be embodied in the form of a desktop computer, a laptop computer, a personal digital assistant, a cellular telephone, set-top box, music players, web pads, tablet computer systems, game consoles, or other devices with like capability. Theclient206 may also include adisplay248. Thedisplay248 may comprise, for example, one or more devices such as cathode ray tubes (CRTs), liquid crystal display (LCD) screens, gas plasma-based flat panel displays, LCD projectors, or other types of display devices, etc.
• Theclient206 may be configured to execute various applications such as abrowser251, anitem identification application254, and/or other applications. Theclient206 may also store various data such as user-supplied images257 and other data. Thebrowser251 may be executed in aclient206, for example, to access and render network pages, such as web pages or other network content served up by thecomputing device203 and/or other servers, thereby generating a renderednetwork page260 on thedisplay248.
• Theitem identification application254 is executed to analyze the user-supplied images257 depicting items103 and to associate the user-supplied images257 withmaster catalog data224 based on identification of the items103 depicted in the user-supplied images257. Theitem identification application254 may comprise a thin client, thick client, code embedded within renderednetwork pages260, and/or other forms of applications. Theclient206 may be configured to execute applications beyond thebrowser251 and theitem identification application254 such as, for example, email applications, instant message applications, and/or other applications.
• Thecomputing device209 may comprise, for example, a server computer, a client computer, or any other system providing computing capability. Alternatively, a plurality ofcomputing devices209 may be employed that are arranged, for example, in one or more server banks or computer banks or other arrangements. For example, a plurality ofcomputing devices209 together may comprise, for example, a cloud computing resource, a grid computing resource, and/or any other distributed computing arrangement.Such computing devices209 may be located in a single installation or may be dispersed among many different geographical locations. For purposes of convenience, thecomputing device209 is referred to herein in the singular. Even though thecomputing device209 is referred to in the singular, it is understood that a plurality ofcomputing devices209 may be employed in the various arrangements as described above. Thecomputing device209 may be controlled, for example, by a manufacturer or distributor that does not offer items103 for sale to retail customers.
• Various applications and/or other functionality may be executed in thecomputing device209 according to various embodiments. Also, various data is stored in adata store263 that is accessible to thecomputing device209. Thedata store263 may be representative of a plurality ofdata stores263 as can be appreciated. The data stored in thedata store263, for example, is associated with the operation of the various applications and/or functional entities described below.
• The components executed on thecomputing device209, for example, include a manufacturer data uploadapplication266 and other applications, services, processes, systems, engines, or functionality not discussed in detail herein. The manufacturer data uploadapplication266 is executed to generate data feeds to facilitate the upload of descriptions of items103 to thecomputing device203. Such items103 may comprise a catalog of items103 manufactured or distributed by the entity that controls thecomputing device209. The data stored in thedata store263 includes, for example,manufacturer catalog data269 and potentially other data. Themanufacturer catalog data269 may describe items103 that are produced and/or distributed by the entity that controls thecomputing device209.
• Next, a general description of the operation of the various components of thenetworked environment200 is provided. To begin, a user associated with a merchant106 establishes an account connected with theelectronic marketplace100. The user may supply various data to the electronicmarketplace management application221 in order to complete initial registration. The user may configure basic functionality of the network pages of the online catalog, shipping parameters, tax parameters, look and feel parameters, and so on. Such data may be stored innetwork page data233 and used by theelectronic commerce application218 in generating network pages that include offerings of items103 by the merchant106.
• The user may then define items103 to be offered in theelectronic marketplace100. The electronicmarketplace management application221 may supply manual or automatic interfaces for uploading descriptions of items103. For example, the electronicmarketplace management application221 may include a facility for receiving data feeds such as spreadsheets, files of comma-separated values, imports from other database software, etc. The electronicmarketplace management application221 may also provide forms for user input of descriptions of items103. Such forms may be presented by renderednetwork pages260 or other user interfaces rendered on theclient206. The electronicmarketplace management application221 may also provide a facility for the user to search themaster catalog data224 for keywords. Such a keyword search may enable a user to select preexisting items103 described in themaster catalog data224 for inclusion in the catalog of the merchant106.
• In addition to the above-described approaches for a user to add items103 to a catalog, theitem identification application254 may permit the user to add items103 to the catalog for the merchant106 by providing a set of user-supplied images257 that depict the new items103. For example, the user may be able to take digital photos of each type of item103 in the inventory of the merchant. In one embodiment, each of the user-supplied images257 may depict a single respective item103. In another embodiment, each of the user-supplied images257 may depict multiple respective items103.
• In various embodiments, the user may place the user-supplied images257 in a designated folder or directory, upload the user-supplied images257 to thecomputing device203, drag and drop graphical indicators of the user-supplied images257 onto a user interface component of theitem identification application254, and/or provide the user-supplied images257 to theitem identification application254 by some other mechanism. Theitem identification application254 may then be configured to analyze the user-supplied images257 to identify the items103 depicted therein. In one embodiment, theitem identification application254 may compare the user-supplied images257 to thereference images230 directly. In other embodiments, theitem identification application254 may compare data derived from thereference images230 or data derived from thereference images230 with the user-supplied images257 or data derived from the user-supplied images257. Such data derived from images may comprise, for example, image fingerprints or hashes, histograms, extracted features, text identified from images, and other data related to image characteristics.
• It is understood that such comparisons may be performed in theclient206 or in thecomputing device203. As an example,FIG. 2 shows theitem identification application254 being executed in theclient206. Theitem identification application254 executed in theclient206 may download thereference images230 or data derived from thereference images230 to theclient206 for analysis.
• As another example,FIG. 3 shows an alternative embodiment of anetworked environment300. InFIG. 3, theitem identification application254 is shown as a portion of the electronicmarketplace management application221 executed in thecomputing device203. In such an embodiment, the user-supplied images257 or data derived from the user-supplied images257 may be uploaded over thenetwork212 to thecomputing device203 for analysis by theitem identification application254.
• Referring back toFIG. 2, when an item103 depicted in a user-supplied image257 has been identified, theitem identification application254 may then associate descriptions of the item103 stored in themaster catalog data224 with the user-supplied image257. The associated data may be presented, at least in part, to the user for verification of the identification. As a non-limiting example, theitem identification application254 may render a user interface that shows the user-supplied image257 adjacent to a title from themaster catalog data224 that has been associated with the user supplied image257. As another non-limiting example, theitem identification application254 may render a user interface that shows the user-supplied image257 adjacent to an image from themaster catalog data224 that has been associated with the user supplied image257.
• If the user indicates that the identification was not performed correctly, the user may be provided with a form to submit the data that correctly describes the item103 shown in the user-supplied image257. In one embodiment, theitem identification application254 may track misidentified user-supplied images257 for improving the accuracy of future identifications. Even when an identification is performed correctly, a user may want to modify or customize attributes of the item103. Such customizations may be stored in themerchant catalog data227.
• Upon identifying items103 in user-supplied images257 or adding the items103 to a catalog, theitem identification application254 may be configured to provide various statistics to the user. These statistics may be related the probability of success the merchant106 will have in selling the items103. For example, theitem identification application254 may present a distinctiveness factor for the items103, a quantity of the items103 predicted to be needed to avoid going out of stock, a sales success factor based on customer feedback, and/or other statistics.
• Theitem identification application254 may be configured to generate a data feed from themaster catalog data224 that describes the automatically identified items103. In one embodiment, the data feed may also include manual edits to the descriptions of the automatically identified items103 as well as manually defined items103. Such a data feed may be uploaded to the electronicmarketplace management application221 for inclusion within a catalog of the merchant106. However, the format of the data feed may be configurable, and the data feed may be uploaded to systems providing otherelectronic marketplaces100 that may or may not use the samemaster catalog data224 as was used in the generation of the data feed. For example, the data feed may be configurable to exclude or transform one or more attributes of the items103 provided in themaster catalog data224.
• In addition to merchants106 adding new items103 which may be integrated into themaster catalog data224, manufacturers, distributors, or other third parties may be able to submit data for inclusion in themaster catalog data224. For example, a manufacturer data uploadapplication266 executed in acomputing device209 of the manufacturer may be configured to provide themanufacturer catalog data269 to the electronicmarketplace management application221. Such a data feed may be scheduled periodically or provided in response to a request from the electronicmarketplace management application221. Consequently, themaster catalog data224 may include descriptions of items103 that are not currently sold by any of the merchants106 in theelectronic marketplace100.
• Moving on toFIG. 4, shown is a flowchart that provides one example of the operation of a portion of theitem identification application254 according to various embodiments. It is understood that the flowchart ofFIG. 4 provides merely an example of the many different types of functional arrangements that may be employed to implement the operation of the portion of theitem identification application254 as described herein. As an alternative, the flowchart ofFIG. 4 may be viewed as depicting an example of steps of a method implemented in the client206 (FIG. 2) or the computing device203 (FIG. 3) according to various embodiments. Although the flowchart ofFIG. 4 illustrates a process performed on each user-supplied image257 serially, it is understood that such a process alternatively may be performed on a group of user-supplied images257 concurrently or simultaneously.
• Beginning withbox403, theitem identification application254 obtains a user-supplied image257 (FIG. 2) depicting an item103 (FIG. 1). It is understood that more than one item103 may be depicted in one user-supplied image257 in some embodiments. The user-supplied image257 may comprise a digital photo, graphic, scan, or some other image that shows an item103. In some embodiments, theitem identification application254 may impose restrictions on the user-supplied image257 relating, for example, to background color, separation between items103, contrast, etc.
• Inbox406, theitem identification application254 compares the user-supplied image257 with reference images230 (FIG. 2) of items103 that are described in the master catalog data224 (FIG. 2). In other embodiments, theitem identification application254 may also compare the user-supplied image257 withreference images230 of items103 that are described in the merchant catalog data227 (FIG. 2). The analysis performed by theitem identification application254 may involve calculating a fingerprint or hash values, building a histogram, extracting features, and/or other image recognition techniques applied to the user-supplied image257 and thereference images230. Various image recognition and/or text recognition techniques are disclosed in U.S. patent application Ser. No. 12/321,235 entitled “System and Method to Match Images,” filed Jan. 16, 2009, U.S. patent application Ser. No. 11/732,858 entitled “Method and System for Searching for Information on a Network in Response to an Image Query Sent by a User From a Mobile Communications Device,” filed Apr. 4, 2007, and U.S. patent application Ser. No. 12/378,599 entitled “Method and System for Image Matching,” filed Feb. 18, 2009, each of which is hereby incorporated by reference herein in its entirety.
• To facilitate the analysis ofbox406, theitem identification application254, when executed in aclient206, may obtain data derived from thereference images230 for the identification rather than images themselves. Alternatively, theitem identification application254 may submit data derived from the user-supplied image257 to thecomputing device203 for further analysis to be executed therein.
• Inbox409, theitem identification application254 determines whether an item103 has been identified in the user-supplied image257. If an item103 has not been identified in the user-supplied image257, theitem identification application254 moves tobox412 and obtains catalog data for the item103 depicted in the user-supplied image257 from the user. A user interface may be provided for the user to enter data manually that describes the item103 or to upload a data feed with a description. Alternatively, or additionally, a user may be able to search themaster catalog data224 and/or themerchant catalog data227 by keyword to attempt to identify and import data currently in a catalog. Theitem identification application254 may be configured to recognize the item103 from the corresponding user-supplied image257 in the future. To this end, the user-supplied image257 may be added to thereference images230 in some embodiments.
• Inbox415, theitem identification application254 adds the item103 to a catalog for the merchant106 (FIG. 1) in themerchant catalog data227. Theitem identification application254 then proceeds tobox418 and determines whether another user-supplied image257 is to be analyzed. If another user-supplied image257 is to be analyzed, theitem identification application254 returns tobox403 and obtains the user-supplied image257 and begins processing it. If no other user-supplied image257 is to be analyzed, theitem identification application254 moves tobox421 and determines electronic marketplace100 (FIG. 1) statistics for the new items103.
• As a non-limiting example, theitem identification application254 may identify a quantity of one or more of the items103 to satisfy a demand for the items103 in theelectronic marketplace100. The quantity may be determined in order for the merchant106 to avoid being out-of-stock for the items103 in inventory. To make this determination, theitem identification application254 may evaluate the item sales data236 (FIG. 2) and other data to determine projected sales for the items103.
• As another non-limiting example, theitem identification application254 may determine a sales success factor based at least in part on customer feedback data245 (FIG. 1) for the items103 associated with themaster catalog data224 and/or themerchant catalog data227. For example, items103 associated with relatively higher levels of customer satisfaction may be associated with increased future sales. Likewise, items103 associated with relatively lower levels of customer satisfaction may be associated with decreased future sales. Such a sales success factor may be computed in an aggregate for all of the items103 added by the merchant106 to give the merchant106 an estimate of how successful the merchant106 will be in selling that batch of items103.
• As yet another non-limiting example, theitem identification application254 may determine a distinctiveness factor for the items103 based at least in part on a number of merchants106 offering the items103 in theelectronic marketplace100. The number of merchants106 offering the items103 may be determined, for example, using the marketplace offering data242 (FIG. 2). In addition, the distinctiveness factor may be based in part on a number of distinct offerings of the items103 in theelectronic marketplace100. The distinctiveness factor may relate to how successful the merchant106 will be in selling the items103 because the offerings of the merchant106 may be more visible to shoppers when fewer other merchants106 are also offering the items103.
• Such statistics may be presented to the user by theitem identification application254 in a user interface. The user may refer to the statistics to assess projected performance of the added items103 in order to make future catalog modifications. Thereafter, the portion of theitem identification application254 ends.
• If, inbox409, theitem identification application254 instead identifies an item103 in the user-supplied image257, theitem identification application254 proceeds tobox424 and obtains a user verification of the identification of the item103. To facilitate verification, catalog data such as title, description, etc. that is used to describe the item103 may be presented in association with the user-supplied image257. Inbox427, theitem identification application254 determines whether the user has verified that the identification was correct. If the identification has not been verified as correct, theitem identification application254 may proceed tobox412 and obtain catalog data for the item103 from the user as previously described and continue on from there.
• If, inbox427, the identification has been verified as correct, theitem identification application254 instead moves tobox430 and uses themaster catalog data224 for the item103. In other embodiments, theitem identification application254 may use catalog data currently stored in themerchant catalog data227 for the item103. Theitem identification application254 then proceeds tobox415 and adds the item103 to the catalog for the merchant106. To this end, theitem identification application254 may link the catalog data in themaster catalog data224 that describes the item103 to themerchant catalog data227. Theitem identification application254 then continues on tobox418 as previously described.
• With reference toFIG. 5, shown is a schematic block diagram of thecomputing device203 according to an embodiment of the present disclosure. Thecomputing device203 includes at least one processor circuit, for example, having aprocessor503 and amemory506, both of which are coupled to alocal interface509. To this end, thecomputing device203 may comprise, for example, at least one server computer or like device. Thelocal interface509 may comprise, for example, a data bus with an accompanying address/control bus or other bus structure as can be appreciated.
• Stored in thememory506 are both data and several components that are executable by theprocessor503. In particular, stored in thememory506 and executable by theprocessor503 are anelectronic commerce application218, an electronicmarketplace management application221, anitem identification application254, and potentially other applications. Also stored in thememory506 may be adata store215 and other data. In addition, an operating system may be stored in thememory506 and executable by theprocessor503.
• It is understood that there may be other applications that are stored in thememory506 and are executable by theprocessors503 as can be appreciated. Where any component discussed herein is implemented in the form of software, any one of a number of programming languages may be employed such as, for example, C, C++, C#, Objective C, Java, Javascript, Perl, PHP, Visual Basic, Python, Ruby, Delphi, Flash, or other programming languages.
• A number of software components are stored in thememory506 and are executable by theprocessor503. In this respect, the term “executable” means a program file that is in a form that can ultimately be run by theprocessor503. Examples of executable programs may be, for example, a compiled program that can be translated into machine code in a format that can be loaded into a random access portion of thememory506 and run by theprocessor503, source code that may be expressed in proper format such as object code that is capable of being loaded into a random access portion of thememory506 and executed by theprocessor503, or source code that may be interpreted by another executable program to generate instructions in a random access portion of thememory506 to be executed by theprocessor503, etc. An executable program may be stored in any portion or component of thememory506 including, for example, random access memory (RAM), read-only memory (ROM), hard drive, solid-state drive, USB flash drive, memory card, optical disc such as compact disc (CD) or digital versatile disc (DVD), floppy disk, magnetic tape, or other memory components.
• Thememory506 is defined herein as including both volatile and nonvolatile memory and data storage components. Volatile components are those that do not retain data values upon loss of power. Nonvolatile components are those that retain data upon a loss of power. Thus, thememory506 may comprise, for example, random access memory (RAM), read-only memory (ROM), hard disk drives, solid-state drives, USB flash drives, memory cards accessed via a memory card reader, floppy disks accessed via an associated floppy disk drive, optical discs accessed via an optical disc drive, magnetic tapes accessed via an appropriate tape drive, and/or other memory components, or a combination of any two or more of these memory components. In addition, the RAM may comprise, for example, static random access memory (SRAM), dynamic random access memory (DRAM), or magnetic random access memory (MRAM) and other such devices. The ROM may comprise, for example, a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or other like memory device.
• Also, theprocessor503 may representmultiple processors503 and thememory506 may representmultiple memories506 that operate in parallel processing circuits, respectively. In such a case, thelocal interface509 may be an appropriate network212 (FIG. 2) that facilitates communication between any two of themultiple processors503, between anyprocessor503 and any of thememories506, or between any two of thememories506, etc. Thelocal interface509 may comprise additional systems designed to coordinate this communication, including, for example, performing load balancing. Theprocessor503 may be of electrical or of some other available construction.
• Although theelectronic commerce application218, the electroniccommerce management application221, theitem identification application254, and other various systems described herein may be embodied in software or code executed by general purpose hardware as discussed above, as an alternative the same may also be embodied in dedicated hardware or a combination of software/general purpose hardware and dedicated hardware. If embodied in dedicated hardware, each can be implemented as a circuit or state machine that employs any one of or a combination of a number of technologies. These technologies may include, but are not limited to, discrete logic circuits having logic gates for implementing various logic functions upon an application of one or more data signals, application specific integrated circuits having appropriate logic gates, or other components, etc. Such technologies are generally well known by those skilled in the art and, consequently, are not described in detail herein.
• The flowchart ofFIG. 4 shows the functionality and operation of an implementation of portions of theitem identification application254. If embodied in software, each block may represent a module, segment, or portion of code that comprises program instructions to implement the specified logical function(s). The program instructions may be embodied in the form of source code that comprises human-readable statements written in a programming language or machine code that comprises numerical instructions recognizable by a suitable execution system such as aprocessor503 in a computer system or other system. The machine code may be converted from the source code, etc. If embodied in hardware, each block may represent a circuit or a number of interconnected circuits to implement the specified logical function(s).
• Although the flowchart ofFIG. 4 shows a specific order of execution, it is understood that the order of execution may differ from that which is depicted. For example, the order of execution of two or more blocks may be scrambled relative to the order shown. Also, two or more blocks shown in succession inFIG. 4 may be executed concurrently or with partial concurrence. Further, in some embodiments, one or more of the blocks shown inFIG. 4 may be skipped or omitted. In addition, any number of counters, state variables, warning semaphores, or messages might be added to the logical flow described herein, for purposes of enhanced utility, accounting, performance measurement, or providing troubleshooting aids, etc. It is understood that all such variations are within the scope of the present disclosure.
• Also, any logic or application described herein, including theelectronic commerce application218, the electronicmarketplace management application221, and theitem identification application254, that comprises software or code can be embodied in any non-transitory computer-readable medium for use by or in connection with an instruction execution system such as, for example, aprocessor503 in a computer system or other system. In this sense, the logic may comprise, for example, statements including instructions and declarations that can be fetched from the computer-readable medium and executed by the instruction execution system. In the context of the present disclosure, a “computer-readable medium” can be any medium that can contain, store, or maintain the logic or application described herein for use by or in connection with the instruction execution system. The computer-readable medium can comprise any one of many physical media such as, for example, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor media. More specific examples of a suitable computer-readable medium would include, but are not limited to, magnetic tapes, magnetic floppy diskettes, magnetic hard drives, memory cards, solid-state drives, USB flash drives, or optical discs. Also, the computer-readable medium may be a random access memory (RAM) including, for example, static random access memory (SRAM) and dynamic random access memory (DRAM), or magnetic random access memory (MRAM). In addition, the computer-readable medium may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or other type of memory device.
• It should be emphasized that the above-described embodiments of the present disclosure are merely possible examples of implementations set forth for a clear understanding of the principles of the disclosure. Many variations and modifications may be made to the above-described embodiment(s) without departing substantially from the spirit and principles of the disclosure. All such modifications and variations are intended to be included herein within the scope of this disclosure and protected by the following claims.

Claims (20)

Therefore, the following is claimed:

1. A non-transitory computer-readable medium embodying a program executable in a computing device, the program comprising:

code that obtains an image depicting at least one item;

code that identifies the at least one item from the image based at least in part on data derived from a plurality of reference images that are associated with a respective at least one item of a catalog of items;

code that, responsive to an indication that identifying the at least one item was incorrectly performed, tracks the image as a misidentified image;

code that, responsive to an indication that identifying the at least one item was correctly performed, associates catalog data corresponding to the at least one item with the image;

code that obtains the catalog data about the at least one item from a client responsive to at least one of: the indication that identifying the at least one item was incorrectly performed, or the code that identifies being unable to identify the at least one item; and

code that adds the catalog data to a catalog of a merchant in an electronic marketplace.

2. The computer-readable medium ofclaim 1, further comprising code that determines at least one of a sales-success factor or a distinctiveness factor for the at least one item.

3. A system, comprising:

at least one computing device; and

an item identification application executable in the at least one computing device, the item identification application comprising:

logic that obtains an image depicting at least one item;

logic that identifies the at least one item from the image based at least in part on data derived from a plurality of reference images that are associated with a respective at least one item of a catalog of items;

logic that, responsive to an indication that identifying the at least one item was incorrectly performed, tracks the image as a misidentified image;

logic that, responsive to an indication that identifying the at least one item was correctly performed, associates catalog data corresponding to the at least one item with the image; and

logic that adds the catalog data to a catalog of a merchant in an electronic marketplace.

4. The system ofclaim 3, wherein the logic that identifies further comprises logic that compares an image characteristic calculated for the image with a plurality of stored image characteristics in the data derived from the reference images.

5. The system ofclaim 3, wherein the item identification application further comprises logic that determines a sales success factor for the at least one item based at least in part on customer feedback associated with the catalog data.

6. The system ofclaim 3, wherein the item identification application further comprises logic that determines a quantity of the at least one item to satisfy a demand for the at least one item in the electronic marketplace.

7. The system ofclaim 3, wherein the item identification application further comprises logic that determines a distinctiveness factor for the at least one item based at least in part on a number of merchants offering the at least one item in the electronic marketplace.

8. The system ofclaim 3, wherein the catalog data associated with the image includes a description of the at least one item.

9. The system ofclaim 3, wherein the logic that associates is configured to generate a data feed that includes the catalog data associated with the image.

10. The system ofclaim 9, wherein the catalog data comprises a plurality of item attributes, and the data feed is configured to exclude at least one of the item attributes.

11. The system ofclaim 3, wherein the item identification application further comprises logic that obtains the catalog data about the at least one item from a client responsive to at least one of: the indication that identifying the at least one item was incorrectly performed, or the logic that identifies being unable to identify the at least one item.

12. The system ofclaim 3, wherein the item identification application further comprises logic that obtains additional catalog data about the at least one item from a manufacturer of the item.

13. The system ofclaim 3, wherein the at least one computing device comprises a client computing device, and the item identification application further comprises logic that obtains the data derived from the reference images and the catalog data from at least one server computing device.

14. The system ofclaim 3, wherein the image is one of a plurality of images depicting the at least one item, and identifying the at least one item is based at least in part on the plurality of images.

15. A method, comprising:

obtaining, in at least one computing device, an image depicting at least one item;

identifying, in the at least one computing device, the at least one item based at least in part on an analysis of the image and at least one reference image;

tracking, by the at least one computing device, the image as a misidentified image responsive to an indication that identifying the at least one item was incorrectly performed; and

associating, in the at least one computing device, catalog data that describes the at least one item with the image responsive to an indication that identifying the at least one item was correctly performed.

16. The method ofclaim 15, wherein the image is one of a plurality of images depicting the at least one item, and identifying the at least one item is based at least in part on the plurality of images.

17. The method ofclaim 15, further comprising generating, determines a sales success factor for the at least one item based at least in part on customer feedback associated with the catalog data.

18. The method ofclaim 15, further comprising generating, determines a distinctiveness factor for the at least one item based at least in part on a number of merchants offering the at least one item in an electronic marketplace.

19. The method ofclaim 15, further comprising adding, in the at least one computing device, the at least one item to a catalog of items associated with the merchant.

20. The method ofclaim 15, further comprising obtaining, by the at least one computing device, the catalog data describing the at least one item from a client responsive to at least one of: the indication that identifying the at least one item was incorrectly performed, or being unable to identify the at least one item.

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