Cheung et al. - Google Patents
Dominant Color Image Retrieval using Merged HistogramCheung et al.
- Document ID
- 12878264685538055064
- Author
- Cheung K
- Liu T
- Po L
External Links
Snippet
A merged histogram method (MHM) is proposed for histogram-based image retrieval based on dominant colors in images. In MHM, colors from images and between images are merged to form their dominant color set, instead of color components. Images of similar color can …
- 239000003086 colorant 0 abstract description 48
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
- G06F17/3025—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information 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
- G06F17/30799—Information 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- Y—GENERAL 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
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
- Y10S707/99933—Query processing, i.e. searching
- Y10S707/99936—Pattern matching access
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
- G06K9/4652—Extraction of features or characteristics of the image related to colour
-
- Y—GENERAL 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
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99941—Database schema or data structure
- Y10S707/99948—Application of database or data structure, e.g. distributed, multimedia, or image
-
- Y—GENERAL 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
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99941—Database schema or data structure
- Y10S707/99944—Object-oriented database structure
- Y10S707/99945—Object-oriented database structure processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
- G06T9/007—Transform coding, e.g. discrete cosine transform
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Qiu | Indexing chromatic and achromatic patterns for content-based colour image retrieval | |
Gong et al. | Image indexing and retrieval based on color histograms | |
US7215791B2 (en) | Color quantization and similarity measure for content based image retrieval | |
EP1302865A1 (en) | Method and apparatus for searching for and retrieving colour images | |
JP2002543539A (en) | Method for expressing color image, method for searching for color image, apparatus for expressing and searching for color image, computer system, computer program, and computer readable medium | |
Wong et al. | Dominant color image retrieval using merged histogram | |
KR100422697B1 (en) | Color Space Quantization Descriptor | |
Saad et al. | Image retrieval based on integration between YC b C r color histogram and shape feature | |
Shim et al. | Edge color histogram for image retrieval | |
Gagliardi et al. | A method for the automatic indexing of colour images for effective image retrieval | |
Wong et al. | Merged-color histogram for color image retrieval | |
Ohm et al. | The MPEG-7 color descriptors | |
Qiu | Embedded colour image coding for content-based retrieval | |
Cheung et al. | Dominant Color Image Retrieval using Merged Histogram | |
Mansoori et al. | Content based image retrieval using the knowledge of texture, color and binary tree structure | |
Girgis et al. | A study of the effect of color quantization schemes for different color spaces on content-based image retrieval | |
Schettini et al. | Color in databases: Indexation and similarity | |
Cheung et al. | Merged-Color Histogram for Color Image Retrieval | |
Goswami et al. | RISE: a robust image search engine | |
Ljubovic et al. | A compact color descriptor for image retrieval | |
Mary et al. | Content based image retrieval using colour, multi-dimensional texture and edge orientation | |
Schaefer et al. | Midstream content access based on color visual pattern coding | |
Belalia et al. | Efficient histogram for region based image retrieval in the discrete cosine transform domain | |
Wan et al. | Image retrieval with multiresolution color space quantization | |
Mirmehdi et al. | Perceptual image indexing and retrieval |