Video object cosegmentation

Authors:
Ding-Jie Chen;Hwann-Tzong Chen;Long-Wen Chang
Affiliations:
National Tsing Hua University, Hsinchu, Taiwan Roc;National Tsing Hua University, Hsinchu, Taiwan Roc;National Tsing Hua University, Hsinchu, Taiwan Roc
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

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Abstract

We introduce and address the problem of video object cosegmentation, which concerns the task of segmenting the common object in a pair of video sequences. We present a new algorithm that works on super-voxels in videos to solve this task. The algorithm computes i the intra-video relative motion derived from dense optical flow and ii) the inter-video co-features based on Gaussian mixture models. The experimental results show that, by integrating the intra-video and inter-video information, our algorithm is able to obtain better results of segmenting video objects.