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Semantic grouping of the shots in a video can bethought of as first step towards scene detection. It also facilitates the easy identification of visually similar scenes. Such grouping also help in the creation of semantic content table and efficient content browsing. In this work, we present an effective scheme to form such groupings. We address the important issue of representing a shot with the...
Detection of representative frames, also called key-frames, is essential for efficient indexing, browsing and retrieval of video data and also for video summarization. Once a video stream is segmented into shots, the representative frames or key-frames for the shot are selected. The number of such frames in a shot may vary depending on the variation in the content. Thus, for a wide variety of shots...
For efficient indexing, browsing and retrieval of video data and also for video summarization, extraction of representative frames is essential. Once a video stream is segmented into shots, the representative frames or key-frames for the shot are selected. Automatic selection of suitable representatives for a wide variety of shots is still a challenge as the number of such frames in a shot may also...
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