Movatterモバイル変換


[0]ホーム

URL:


Matsuyama et al., 2008 - Google Patents

Image-to-image retrieval reflecting human sensibility and association

Matsuyama et al., 2008

ViewPDF
Document ID
12624244648728711286
Author
Matsuyama Y
Hoshino Y
Publication year
Publication venue
2008 7th Asia-Pacific Symposium on Information and Telecommunication Technologies

External Links

Snippet

Image-to-Image retrieval (I2I) accompanied by data compression are presented. Given a query image, the presented retrieval system computes PCA and/or ICA bases by extracting source information. On the data compression in the sense of rate-distortion, this method …
Continue reading atwww.researchgate.net (PDF) (other versions)

Classifications

The classifications are assigned by a computer and are not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the classifications listed.
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30067File systems; File servers
    • G06F17/30129Details of further file system functionalities
    • G06F17/3015Redundancy elimination performed by the file system
    • G06F17/30153Redundancy elimination performed by the file system using compression, e.g. sparse files
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00Data processing: database and file management or data structures
    • Y10S707/99941Database schema or data structure
    • Y10S707/99942Manipulating data structure, e.g. compression, compaction, compilation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S707/00Data processing: database and file management or data structures
    • Y10S707/99931Database or file accessing
    • Y10S707/99933Query processing, i.e. searching
    • Y10S707/99936Pattern matching access

Similar Documents

PublicationPublication DateTitle
US7295718B2 (en)Non-linear quantization and similarity matching methods for retrieving image data
US7792887B1 (en)Compact color feature vector representation
Kee et al.Digital image authentication from JPEG headers
US10110907B2 (en)Method and system for optimized delta encoding
US20030179213A1 (en)Method for automatic retrieval of similar patterns in image databases
EP1559273A1 (en)Non-linear quantization and similarity matching methods for retrieving video sequence having a set of image frames
Ulutas et al.Frame duplication detection based on bow model
KR20060105556A (en) Image comparison device and method, image retrieval device and method
CN101013446A (en)Image group representation method and device
Kekre et al.Content Based Image Retreival Using Fusion of Gabor Magnitude and Modified Block Truncation Coding
Bekhet et al.Video Matching Using DC-image and Local
Matsuyama et al.Image-to-image retrieval reflecting human sensibility and association
Abdelrahim et al.Image retrieval based on content and image compression
Lu et al.Digital photo similarity analysis in frequency domain and photo album compression
Wu et al.A suffix array approach to video copy detection in video sharing social networks
Bekhet et al.Compact signature-based compressed video matching using dominant color profiles (dcp)
Valsesia et al.Image retrieval based on compressed camera sensor fingerprints
KR100333744B1 (en)Searching system, method and recorder of similar images using for characteristics of compressed images
Fan et al.An image retrieval method using DCT features
Matsuyama et al.Image-to-image retrieval using computationally learned bases and color information
Thakre et al.An effective CBVR system based on motion, quantized color and edge density features
CN100446569C (en) Nonlinear Quantization and Similarity Matching Method for Retrieving Video Sequences with Groups of Image Frames
US9286696B2 (en)Compression within a set of images
Wang et al.Sequence-kernel based sparse representation for amateur video summarization
Park et al.Indexing technique for similarity matching in large video databases

[8]
ページ先頭

©2009-2025 Movatter.jp