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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongqing Sun Shinji Ozawa |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Inf. & Comput. Sci., Keio Univ., Japan (Yongqing Sun; Shinji Ozawa) |
| Abstract | We propose a hierarchical approach for region-based image retrieval, which is based on wavelet transform for its decomposition property similarity with human visual processing. First, automated image segmentation is performed fast in the low-low (LL) frequency subband of wavelet transform which shows desirable low resolution of image. In the proposed system, boundaries between segmented regions are deleted to improve the robustness of region-based image retrieval against uncertainty of segmentation. Second, region feature vector is hierarchically represented by information in all wavelet subbands and each feature component of a feature vector is a combined color-texture feature. Such feature vector captures the distinctive feature (e.g., semantic texture) inside one region finely. Through experiment results and comparison with other methods, the proposed method shows good tradeoff between retrieval effectiveness and efficiency as well as easy implementation for region-based image retrieval. |
| Starting Page | 1117 |
| Ending Page | 1124 |
| File Size | 656382 |
| Page Count | 8 |
| File Format | |
| ISBN | 0780385667 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2004.1398455 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-10-10 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image retrieval Image segmentation Information retrieval Wavelet transforms Humans Frequency Pixel Computer science Image resolution Image databases |
| Content Type | Text |
| Resource Type | Article |
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