A recursive optimal relevance feedback scheme for content based image retrieval
暂无分享,去创建一个
[1] Thomas S. Huang,et al. Relevance feedback: a power tool for interactive content-based image retrieval , 1998, IEEE Trans. Circuits Syst. Video Technol..
[2] Qi Tian,et al. Update relevant image weights for content-based image retrieval using support vector machines , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).
[3] Gerard Salton,et al. Optimization of relevance feedback weights , 1995, SIGIR '95.
[4] Bruno O. Shubert,et al. Random variables and stochastic processes , 1979 .
[5] Thomas S. Huang,et al. Relevance feedback techniques in interactive content-based image retrieval , 1997, Electronic Imaging.
[6] Daewon Kim,et al. Relevance feedback for content-based image retrieval using the Choquet integral , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).
[7] John G. Proakis,et al. Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..
[8] Ingemar J. Cox,et al. PicHunter: Bayesian relevance feedback for image retrieval , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[9] Stefanos D. Kollias,et al. A fuzzy video content representation for video summarization and content-based retrieval , 2000, Signal Process..