Algorithms for clustering data
Algorithms for clustering data
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Color Image Segmentation using Competitive Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Medium knowledge-based macro-segmentation of video into sequences
Intelligent multimedia information retrieval
Image retrieval by color semantics
Multimedia Systems - Special issue on video content based retrieval
IEEE MultiMedia
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
Film Editing Reconstruction and Semantic Analysis
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Structured Digital Video Indexing
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
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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 flows based on 3D wavelet decomposition and retrieval of commercials based on color flow similarity.