Elements of information theory
Elements of information theory
Visual information retrieval
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
A feature-based algorithm for detecting and classifying production effects
Multimedia Systems
Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Content-based video parsing and indexing based on audio-visual interaction
IEEE Transactions on Circuits and Systems for Video Technology
Scenario based dynamic video abstractions using graph matching
Proceedings of the 13th annual ACM international conference on Multimedia
Video motion detection beyond reasonable doubt
Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
Detection of hard cuts and gradual transitions from video using fuzzy logic
International Journal of Artificial Intelligence and Soft Computing
On the use of entropy series for fade detection
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
A novel fade detection algorithm on H.264/AVC compressed domain
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Drive video summarization based on double articulation structure of driving behavior
Proceedings of the 20th ACM international conference on Multimedia
Video key frame extraction through dynamic Delaunay clustering with a structural constraint
Journal of Visual Communication and Image Representation
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New methods for detecting shot boundaries in video sequences and for extracting key frames using metrics based on information theory are proposed. The method for shot cut detection relies on the mutual information and the joint entropy between the frames. It can detect cuts, fade-ins and fade-outs. The detection technique was tested on TV video sequences having different types of shots and containing significant object and camera motion inside the shots. It is demonstrated that the method detects both fades and abrupt cuts with high accuracy. The method for key frame extraction is using the mutual information. We show that it captures satisfactorily the visual content of the shot.