A video synchronization approach for coherent key-frame extraction and object segmentation

Publisher:
Asian Research Publication Network
Publication Type:
Journal Article
Citation:
Journal of Theoretical and Applied Information Technology, 2014, 68 (2), pp. 331 - 338
Issue Date:
2014-10-20
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© 2005 - 2014 JATIT & LLS. All rights reserved. In this paper we discuss a new video frame synchronization approach for coherent key-frame extraction and object segmentation. As two basic units for content-based video analysis, key-frame extraction and object segmentation are usually implemented independently and separately based on different feature sets. Our previous work showed that by exploiting the inherent relationship between key-frames and objects, a set of salient key-frames can be extracted to support robust and efficient object segmentation. This work furthers the previous numerical studies by suggesting a new analytical approach to jointly formulate key-frame extraction and object segmentation via a statistical mixture model where the concept of frame/pixel saliency which is introduced and also this deals with the relationship between the frames. A modified Expectation Maximization algorithm is developed for model estimation that leads to the most salient key-frames for object segmentation. Simulations on both synthetic and real videos show the effectiveness and efficiency of the proposed method.
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