Multimedia Contents Management based on the Constraints in Our Everyday Lives and Its Operation by Natural Language

Author:

ONISHI Kanako,IZUMI Noriaki,KOBAYASHI Ichiro,HASHIDA Koiti

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Reference23 articles.

1. [1] E. Chang, K. Goh, G. Sychay, and G. Wu: CBSA:content-based soft annotation for multimodal image retrieval using Bayes point machines. CSVT,IEEE Transactions on, pp.26-38, January 2003.

2. [2] G. Carneiro, and N. Vasconcelos: Formulating semantic image annotation as a supervised learning problem. In Proceedings of IEEE CVPR, vol.2, pp.163-168, June 2005.

3. [3] J. Li and J. Z. Wang: Automatic linguistic indexing of pictures by a statistical modeling approach. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 25(9), pp.1075-1088, 2003.

4. [4] J. Jeon, V. Lavrenko and R. Manmatha: Automatic image annotation and retrieval using cross-media relevance models, SIGIR'03: In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, pp.119-126, 2003.

5. [5] S. L. Feng, R. Manmatha and V. Lavrenko: Multiple Bernoulli Relevance Models for Image and Video Annotation, CVPR'04, 2004.

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