A robust audio classification and segmentation method
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Automatic summarization of music videos
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Hierarchical classification of audio data for archiving and retrieving
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Temporal segmentation of MPEG video streams
EURASIP Journal on Applied Signal Processing
Algorithm of Scene Segmentation Based on SVM for Scenery Documentary
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 03
Fuzzy color histogram and its use in color image retrieval
IEEE Transactions on Image Processing
Content-based movie analysis and indexing based on audiovisual cues
IEEE Transactions on Circuits and Systems for Video Technology
Video scene segmentation by improved visual shot coherence
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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This paper proposes a new technique to segment digital video into semantic units called scenes. This technique is derived from the combined use of color histograms and silence detection, visual and aural features, respectively. The category of digital video used in this work is television news. The results show that the technique can identify more than 80% of the video scenes.