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Combining spatial and temporal patches for scalable video indexing

9 years 10 months ago
Combining spatial and temporal patches for scalable video indexing
This paper tackles the problem of scalable video indexing. We propose a new framework combining spatial and motion patch descriptors. The spatial descriptors are based on a multiscale description of the image and are called Sparse Multiscale Patches. We propose motion patch descriptors based on block motion that describe the motion in a Group of Pictures. The distributions of these sets of patches are compared combining weighted Kullback-Leibler divergences between spatial and motion patches. These divergences are estimated in a non-parametric framework using a k-th Nearest Neighbor estimator. We evaluate this weighted dissimilarity measure on selected videos from the ICOS-HD ANR project. Experiments show that the spatial part of the measure is relevant to detect different sequences, while its motion part allows to detect clips within a sequence. Experiments combining the spatial and temporal parts of the dissimilarity measure show its robustness to resampling and compression; thus exh...
Paolo Piro, Sandrine Anthoine, Eric Debreuve, Mich
Added 20 May 2011
Updated 20 May 2011
Type Journal
Year 2010
Where MTA
Authors Paolo Piro, Sandrine Anthoine, Eric Debreuve, Michel Barlaud
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