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Design of video storyboards has emerged as a popular research area in the multimedia community. Different pattern clustering techniques are applied to extract the key frames from a video sequence to form a storyboard. In this paper, we propose an automatic method for the selection of key frames of a video sequence using Delaunay graphs. We prune certain edges from the Delaunay graph using an iterative...
In this paper, we propose an approach for human activity categorizing based on the use of optical flow direction and magnitude features. The main contribution of this paper is the feature representation that mirrors the geometry of the human body and relationships between its moving regions when performing activities. The features are quantified using a quantization algorithm. We analyze the performance...
This paper introduces CMV100, a new research dataset for people tracking and re-identification in sparse camera networks. Baseline methods for reidentification performance analysis are also proposed. The dataset consist of over 400 indoor video sequences in total. The number of visually distinctive human objects is 100, and each person appears in three different views on average and in five at maximum...
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