A Method for Evaluating the Performance of Content-Based Image Retrieval Systems Based on Subjectively Determined Similarity between Images

Author:

Black John A.,Fahmy Gamal,Panchanathan Sethuraman

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Chang, E. Y., Li Beitao, and Li Chen. “Toward Perception-Based Image Retrieval.” Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries. IEEE Comput. Soc Los Alamitos CA USA, 2000. viii+119.

2. Frese, T., C. A. Bouman, and J. P. Allebach. “Methodology for Designing Image Similarity Metrics Based on Human Visual System Models.” Proceedings of the SPIE The Intl Society for Optical Engineering 3016 (1997): 472–83.

3. Jorgensen, C, and R. Srihari. “Creating a Web-Based Image Database for Benchmarking Image Retrieval Systems.” Proceedings of the SPIE The International Society for Optical Engineering 3644 (1999): 534–41.

4. Kam, A. H., et al. “Content Based Image Retrieval through Object Extraction and Querying.“ Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries. IEEE Comput. Soc Los Alamitos CA USA, 2000. viii+119.

5. La Cascia, M., S. Sethi, and S. Sclaroff. “Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web.” Proceedings. IEEE Workshop on Content-Based Access of Image and Video Libraries (Cat. No.98EX173). IEEE Comput. Soc Los Alamitos CA USA, 1998. viii+115.

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