Title :
Video retrieval based on dynamics of color flows
Author :
Bimbo, A. Del ; Pala, P. ; Tanganelli, L.
Author_Institution :
Dipartimento Sistemi e Inf., Firenze Univ., Italy
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 a 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 the paper, a system is presented that supports description of color flows based on 3D wavelet decomposition and retrieval of commercials based on color flow similarity
Keywords :
content-based retrieval; image colour analysis; image segmentation; image sequences; video databases; wavelet transforms; 3D volume; 3D wavelet decomposition; color dynamics; color flow similarity; colored regions; colors; commercials; content based video retrieval; growth; low level perceptual features; salient information content descriptors; shrinking; translation; Cameras; Content based retrieval; Data mining; Image color analysis; Image retrieval; Information retrieval; Information technology; Object detection; Software libraries; Streaming media;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905548