TOWARDS A CONTENT-BASED VIDEO RETRIEVAL SYSTEM USING WAVELET-BASED SIGNATURES

This paper presents two new primitives for representing the content of a video in order to be used in a ContentBased Video Retrieval System. The techniques presented here compute first a multiresolution representation using the Haar transform. Two types of signatures are extracted afterwards, one based on multiresolution global color histograms and the other one based on multiresolution local color histograms. The tests performed in the experiments include the recall measure achieved with the proposed primitives using a database composed by 62 videos with 817 shots.

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