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Communication Dans Un Congrès Année : 2000

Texture-based Video Indexing

Résumé

We present a method for indexing and searching video sequences based on textural information. Our method proceeds by first defining and computing texture descriptors relevant to the database at hand. Then a similarity distance is computed between a video sample given by the user and small space-time regions in the sequences. The system returns an ordered set of best matches. We show some results on real sequences, which indicate that this scheme has reasonable complexity and performs well in practice. We believe that these good results stem mainly from a) the introduction of a new texture descriptor based on dynamic local H¨older exponents, and b) the automated adapted choice of the relevant parameters.
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Dates et versions

inria-00578651 , version 1 (21-03-2011)

Identifiants

  • HAL Id : inria-00578651 , version 1

Citer

Bertrand Guilheneuf, Jacques Lévy Véhel. Texture-based Video Indexing. IASTED, International Conference Signal and Image Processing, 2000, Las Vegas, United States. ⟨inria-00578651⟩

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