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How to fuse static and dynamic information is a key issue in event analysis. In this paper, a top-down motion guided fusing method is proposed for recognizing events in an unconstrained news video. In the method, the static information is represented as a Bag-of-SIFT-features and motion information is employed to generate event specific attention map to direct the sampling of the interest points....
Key frames play an important role in video abstraction. Clustering is a popular approach for key-frame extraction. In this paper, we propose a novel method for key-frame extraction based on dominant-set clustering. Compared with the existing clustering-based methods, the proposed method dynamically decides the number of key frames depending on the complexity of video shots, produces key frames in...
This paper concerns two fundamental issues in video shots retrieval: key frame identification and similarity measurement between the key frames. We propose a simple key frame extraction algorithm based on optical flow. The algorithm emphasizes the motion extremum in the shot. Color histograms in HSV color space are adopted to describe the content of the extracted key frames and a new model is proposed...
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