Abstract
Content based video retrieval is particularly challenging because the huge amount of data associated with videos complicates the extraction of salient information content descriptors. Commercials are a video category where large part of the content depends on low level perceptual features such as colors and color dynamics. These are related to the evolution —in terms of shrinking, growth and translation—of colored regions along consecutive frames. Each colored region, during its evolution, defines a 3D volume: a color flow. In this paper, a system is presented that supports description of color ows based on 3D wavelet decomposition and retrieval of commercials based on color ow similarity.
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Del Bimbo, A., Pala, P., Tanganelli, L. (2001). 3D Wavelet based Video Retrieval. In: Singh, S., Murshed, N., Kropatsch, W. (eds) Advances in Pattern Recognition — ICAPR 2001. ICAPR 2001. Lecture Notes in Computer Science, vol 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44732-6_36
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DOI: https://doi.org/10.1007/3-540-44732-6_36
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