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This paper focuses on a specific type of unedited video content, called rushes, which are used for movie editing and usually present a high-level of redundancy. Our goal is to automatically extract a summarized preview, where redundant material is diminished without discarding any important event. To achieve this, rushes content has been first analysed and modeled. Then different clustering techniques...
Accurate grouping of video shots could lead to semantic indexing of video segments for content analysis and retrieval. This paper introduces a novel cluster analysis which, depending both on the video genre and the specific user needs, produces a hierarchical representation of the video only on a reduced number of significant summaries. An outlook on a possible implementation strategy is then suggested...
In this paper, an innovative approach is proposed for integration of descriptions regarding multimedia content collections. The proposed method has been applied to audiovisual content clusterings, which were extracted using different algorithms. With the support of low level features, obtained with further algorithms, all input clusterings are characterized and then merged in a new integrated clustering...
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