A three-level architecture for bridging the image semantic gap

Author:

Belkhatir Mohammed

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Reference22 articles.

1. Smeulders, A., et al.: Content-based image retrieval at the end of the early years. IEEE PAMI 22(12), 1349–1380 (2000)

2. Mojsilovic, A., Rogowitz, B.: Capturing image semantics with low-level descriptors. ICIP, pp.18–21 (2001)

3. Blei, D.M., Jordan, M.I.: Modeling annotated data. SIGIR, pp. 127–134 (2003)

4. Carneiro, G., Chan, A.B., Moreno, P.J., Vasconcelos, N.: Supervised learning of semantic classes for image annotation and retrieval. IEEE Trans. Pattern. Anal. Mach. Intell. 29(3), 394–410 (2007)

5. Feng, S., Manmatha, R., Lavrenko, V.: Multiple Bernoulli relevance models for image and video annotation. CVPR 2, 1002–1009 (2004)

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