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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bahroun, S. Boujemaa, N. Belhadj, Z. |
| Copyright Year | 2010 |
| Description | Author affiliation: Institut Sup'Com Tunis, Route de Raoued km3.5, 2083 ElGhazala Ariana, Tunisia (Bahroun, S.; Belhadj, Z.) || INRIA Rocquencourt, B.P. 105 78153 Le Chesnay Cedex, France (Boujemaa, N.) |
| Abstract | Query by visual example (QBVE) has been widely exploited in image retrieval. If starting image is missing, the query by visual thesaurus paradigm allows the user to compose his mental query image through visual patches summarizing the region database. Researches on the human visual system have provided considerable evidence that the color and texture must be processed separately. In this paper, we propose to enrich the paradigm of mental image search by constructing a hierarchical visual thesaurus of the regions provided by a new region labeling criterion into homogeneous and textured regions for boosting the object recognition. The new labeling criterion is based on the spatial dispersion of interest points in the region. Our point based criterion has been validated on a satellite image database. We can prove that our approach is able to retrieve complex concepts better than describing homogeneous and textured regions with the same visual feature. |
| Starting Page | 3193 |
| Ending Page | 3196 |
| File Size | 265500 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479924 |
| ISSN | 15224880 |
| e-ISBN | 9781424479948 |
| e-ISBN | 9781424479931 |
| DOI | 10.1109/ICIP.2010.5654151 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-09-26 |
| Publisher Place | Hong Kong |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Thesauri Satellites Labeling Image color analysis Nearest neighbor searches Lakes Poisson process Visual thesaurus semantic labeling interest points |
| Content Type | Text |
| Resource Type | Article |
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