Visual information retrieval
Scene-based shot change detection and comparative evaluation
Computer Vision and Image Understanding
Principles of visual information retrieval
Principles of visual information retrieval
Content-based indexing and retrieval of TV news
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
An efficient method for scene cut detection
Pattern Recognition Letters
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
A usage study of retrieval modalities for video shot retrieval
Information Processing and Management: an International Journal
Movie scene segmentation using background information
Pattern Recognition
Video summarisation: A conceptual framework and survey of the state of the art
Journal of Visual Communication and Image Representation
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines
Pattern Recognition Letters
Effectiveness of Video Segmentation Techniques for Different Categories of Videos
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Novel automatic video cut detection technique using Gabor filtering
Computers and Electrical Engineering
Fuzzy color histogram-based video segmentation
Computer Vision and Image Understanding
Content-based scene detection and analysis method for automatic classification of TV sports news
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
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Video segmentation is an important computer vision research field being applied in many digital video analysis domains, such as: video compression, video indexing and retrieval, video scene detection, video content analysis, video object tracking in dynamic scenes, and many others. Video has temporal properties. The temporal segmentation process leads to the partition of a given video into a set of meaningful and individually manageable temporal segments. An effective segmentation technique is able to detect not only abrupt changes but also gradual scene changes, such as fade and dissolve transitions. The effectiveness of four methods was analyzed for five different categories of movie: TV talk-show, documentary movie, animal video, action & adventure, and pop music video. The tests have shown that the specific nature of videos has an important influence on the effectiveness of temporal segmentation methods. Furthermore, the knowledge on these specific features of the style of video editing has been used to reduce the number of faulty detected shot cuts and faulty detected cross dissolve effects.