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The Bayesian image retrieval system, PicHunter: theory, implementation, and psychophysical experiments

I.J. Cox, M.L. Miller, T.P. Minka, T.V. Papathomas, P.N. Yianilos
2000 IEEE Transactions on Image Processing  
This paper presents the theory, design principles, implementation, and performance results of PicHunter, a prototype content-based image retrieval (CBIR) system that has been developed over the past three  ...  Finally, PicHunter introduces two experimental paradigms to quantitatively evaluate the performance of the system, and psychophysical experiments are presented that support the theoretical claims.  ...  ACKNOWLEDGMENT The authors thank Y. Hara and K. Hirata, NEC Central Laboratories, for directing our attention to CBIR system research and for providing us with their system and image database; J.  ... 
doi:10.1109/83.817596 pmid:18255370 fatcat:p3nlfqw3yjhstdvr2m2dps7oom

Comparing relevance feedback algorithms for web search

Vishwa Vinay, Ken Wood, Natasa Milic-Frayling, Ingemar J. Cox
2005 Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05  
We find that there is a significant variation in the upper-bound performance of the three RF algorithms and that the Bayesian algorithm approaches the best possible.  ...  We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search.  ...  The Bayesian Image Retrieval System, PicHunter: Theory, Implementation and Psychophysical Experiments. IEEE Transactions on Image Processing, 9(1): 20-37, 2000.  ... 
doi:10.1145/1062745.1062864 dblp:conf/www/VinayWMC05 fatcat:gfzl7zocnvae5hnfxjqseqfn5q


Oge Marques, Borko Furht
2012 Multimedia tools and applications  
This paper describes the ongoing development of a CBVIR system for image search and retrieval with relevance feedback capabilities.  ...  The field of Content-Based Visual Information Retrieval (CBVIR) has experienced tremendous growth in the recent years and many research groups are currently working on solutions to the problem of finding  ...  Costa and Sandy T. Li for helping testing MUSE, and Hugo Vieira Neto for his insightful questions and meticulous review of the manuscript. Special thanks to James A.  ... 
doi:10.1023/a:1014679605305 fatcat:c6qlrv4jizawval2u6srsnxrdi

Use of Low Level Features for Content Based Image Retrieval: Survey

Mussarat Yasmin, Muhammad Sharif, Sajjad Mohsin
2013 Research Journal of Recent Sciences   unpublished
Survey paper reviews the fundamental theories of Content Based Image Retrieval algorithms and development in this field. These algorithms retrieve the digital images from large image database.  ...  Relevance feedback in CBIR system is a dominant technique for the retrieval of image which is derived from user's feedback iteration process. Lastly we discuss the evaluation and semantic gap.  ...  Papathornas, and P. Yianilos, theBayesian image retrieval system, pichunter: Theory, implementation and psychophysical experiments, Tran. On Image Processing,9(1), 20-37 2000 85. S. Aksoy, R.  ...