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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gabbouj, M. Birinci, M. Kiranyaz, S. |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of Signal Processing, Tampere University of Technology, FINLAND (Gabbouj, M.; Birinci, M.; Kiranyaz, S.) |
| Abstract | Color is the main source of information particularly for content-analysis and retrieval. Most of the color descriptors, however, show severe limitations and drawbacks due to their incapability of modelling the human color perception. Moreover, they cannot characterize all the properties of the color composition in a visual scenery. In this paper we present a perceptual color feature, which describes all major properties of prominent colors both in spatial and color domain. In accordance with the well-known Gestalt law, we adopt a top-down approach in order to model (see) the whole color composition before its parts and in this way we can avoid the problems of pixel-based approaches. In color domain the dominant colors are extracted along with their global properties and quad-tree decomposition partitions the image so as to characterize the spatial color distribution (SCD). The proposed color model distils the histogram of inter-color distances. Combination of the extracted global and spatial properties forms the final descriptor, which is neither biased nor become noisy from the presence of such color elements that cannot be perceived in both spatial and color domains. Finally a penalty-trio model fuses all color properties in a similarity distance computation during retrieval. Experimental results approve the superiority of the proposed technique against well-known global and spatial descriptors. |
| Starting Page | 144 |
| Ending Page | 149 |
| File Size | 1453355 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424437566 |
| DOI | 10.1109/MMCS.2009.5256714 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-04-02 |
| Publisher Place | Morocco |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Humans Colored noise Information retrieval Color Content based retrieval Image retrieval Distributed control Multimedia databases Performance evaluation Perceptual Color Model component Spatial Color Descriptor Content-based Retrieval |
| Content Type | Text |
| Resource Type | Article |
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