Reduction of Faulty Detected Shot Cuts and Cross Dissolve Effects in Video Segmentation Process of Different Categories of Digital Videos
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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.
Keywordsdigital video indexing temporal segmentation scene changes cuts cross dissolve effects movie categories
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