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Bayesian Decision Versus Voting for Image Retrieval

By Roger Mohr, Sylvaine Picard and Cordelia Schmid

Abstract

International audienceImage retrieval from image databases is usually performed by using global image characteristics. However the use of local image information is highly desirable when only part of the image is of interest. An original solution was introduced in [9] using invariant local signal characteristics. This paper extends this contribution by extending the set of invariants considered to allow illumination change. Then it is shown that the invariant distribution is far from uniform and a probabilistic indexing scheme is proposed. Experimental results validate the approch and the different methods are discussed

Topics: [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
Publisher: 'Springer Science and Business Media LLC'
Year: 1997
DOI identifier: 10.1007/3-540-63460-6_140
OAI identifier: oai:HAL:inria-00548350v1
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