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In this paper, we present an adaptive stereo video object segmentation algorithm based on depth and spatio-temporal information. First, the object is extracted from the left channel with a new algorithm, which consists of three steps: depth segmentation, adaptive change detection based on twice frame-difference, and edge modification. Then, an inverse matching operation is proposed for object extraction...
Segmentation of semantic video object planes (VOPpsilas) from video sequence is a key to the standard MPEG-4 with content-based video coding. In our paper, we propose an automatic segmentation algorithm under static background. The algorithm can extract accurate video objects from slow moving video sequences. The initial two coarse masks are first obtained based on frame difference and motion detection,...
In this paper, an algorithm to segment object from stereo video is presented. The algorithm combines the strong points of disparity map with frame difference. First, segment disparity maps to get the object segmentation template in different disparity lays. Then make frame difference extraction in the template regions to modify the object edge. After that the precise motion object has been gotten...
A scene segmentation method utilizing both visual features and motion features of video is presented in this paper. Not only the visual similarity but also the motion consistency of shots within a scene is considered in clustering shots into scenes. In addition, a method to merge the over-segmented scenes is presented also. And the experimental results show the effectiveness of the proposed algorithms.
A fast algorithm for MPEG compressed video segmentation based on macroblock (MB) is presented in this paper. The proposed method can detect the scene change boundaries accurately through the macroblock information of B-frame and P-frame which can be extracted from the encoded bit-stream directly without total decompression for MPEG bit-stream, so the detecting speed is quick. Simulation results in...
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