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Content-Based Image Retrieval: on theWay to Object Features
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.40918th International Conference on Patt ...
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Nicolas Zlatoff, LIRIS - UMR 5205 CNRS, France
Guillaume Ryder, LIRIS - UMR 5205 CNRS, France
Bruno Tellez, LIRIS - UMR 5205 CNRS, France
Atilla Baskurt, LIRIS - UMR 5205 CNRS, France
Content-based systems retrieve images based on lowlevel features (color,texture) while the user usually seeks some objects from real world. As segmentation is never accurate, such systems do not allow the use of powerful feature during retrieval (shape, structure). We propose a new system that relies on a hierarchy of segmentations, in order to handle some artifacts. Besides, it allows using some object-related features for indexing (shape, structure). We also present some result on a 600 images database from Corel.
Citation:
Nicolas Zlatoff, Guillaume Ryder, Bruno Tellez, Atilla Baskurt, "Content-Based Image Retrieval: on theWay to Object Features," icpr, vol. 4, pp.153-156, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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