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5 October 1998 Efficient interactive image retrieval with multiple seed images
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Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998)
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
An interactive image query system based on multiple seed images is proposed in this work. With this proposed system, the query can be refined so that the meaning of similarity becomes clear along the query process. A particular way to achieve interactive query is implemented, i.e. adaptive filtering with multiple low-level indexing features based on user's feedback. The proposed query system consists of the following building blocks. First, browsing, image sketching and feature editing are employed for query formation input. The combination of the three methods provides high flexibility for users to get desired query images. In the system, images can also be selected from the candidate image set. By using a query set composed of multiple seed images instead of a single image, we can improve the query performance with more accurate similarity information. Two key procedures, initial guess and further refinement, are utilized to achieve high efficient query. At the initial stage, we try to expand the candidate image set to include as many features as possible. In the refinement process, users are able to initiate a more complex filtering strategy by using the feedback. The relative weighting of different features is further decided. Extensive examples are used to illustrate the proposed interactive query process and the corresponding retrieval performance.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xia Wan, Zijun Yang, and C.-C. Jay Kuo "Efficient interactive image retrieval with multiple seed images", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998);


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