Automatic partitioning of full-motion video
Multimedia Systems
Video parsing and browsing using compressed data
Multimedia Tools and Applications
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
Applications of Video-Content Analysis and Retrieval
IEEE MultiMedia
Editorial introduction: video retrieval and summarization
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
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
Retrieval of movie scenes by semantic matrix and automatic feature weight update
Expert Systems with Applications: An International Journal
Image segmentation evaluation: A survey of unsupervised methods
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
Transactions on computational collective intelligence V
Video structure analysis for content-based indexing and categorisation of TV sports news
International Journal of Intelligent Information and Database Systems
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Visual retrieval systems as well as Internet search engines demand efficient techniques of indexing to facilitate fast access to the required video or to the required video sequences in the video databases. Digital video databases are more and more frequently implemented not only in the Internet network but also in local networks and even in local personal computers. Different approaches to digital video indexing are applied: textual approach, extraction and representation of technical or structural features, content-based analysis, and finally segmentation. The segmentation process leads to the partition of a given video into a set of meaningful and individually manageable segments, which then can serve as basic units for indexing. Video has temporal properties such as camera motion, object movements on the scene, sequential composition, and interframe relationships. An effective segmentation technique is able to detect not only abrupt changes but also gradual scene changes, such as fade and dissolve transitions. The nature of movies, mainly the style of video editing has an influence on the effectiveness of temporal segmentation methods. 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 cuts have been recognized as well as cross dissolve effects. The tests have shown that the specific nature of videos has an important influence on the effectiveness of temporal segmentation methods.