Fast Computation of Similarity Based on Jaccard Coefficient for Composition-Based Image Retrieval

Author:

Kobayakawa Michihiro,Kinjo Shigenao,Hoshi Mamoru,Ohmori Tadashi,Yamamoto Atsushi

Publisher

Springer Berlin Heidelberg

Reference5 articles.

1. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of new age. ACM Computing Surveys 40(2), 1–60 (2008)

2. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. IEEE Trans. on PAMI 22(12), 1349–1380 (2000)

3. Yamamoto, A., Kobayakawa, M., Hoshi, M., Ohmori, T.: Similarity measures for image retrieval based on composition. IPSJ Trans. on Databases 48(14), 82–90 (2007) (in Japanese)

4. Yamamoto, A., Kobayakawa, M., Hoshi, M., Ohmori, T.: Similarity measures for image retrieval based on segmented regions. In: Proc. of International Workshop on Advanced Image Technology, pp. 529–534 (2007)

5. Deng, Y., Manjunath, B.: Unsupervised segmentation of color-texture regions in images and video. IEEE Trans. on PAMI 23, 800–810 (2001)

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