15 April 2010 Combining motion understanding and keyframe image analysis for broadcast video information extraction
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Abstract
We describe a robust new approach to extract semantic concept information based on explicitly encoding static image appearance features together with motion information. For high-level semantic concept identification detection in broadcast video, we trained multi-modality classifiers which combine the traditional static image features and a new motion feature analysis method (MoSIFT). The experimental result show that the combined features have solid performance for detecting a variety of motion related concepts and provide a large improvement over static image analysis features in video.
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Ming-yu Chen, Ming-yu Chen, Huan Li, Huan Li, Alexander Hauptmann, Alexander Hauptmann, } "Combining motion understanding and keyframe image analysis for broadcast video information extraction", Proc. SPIE 7704, Evolutionary and Bio-Inspired Computation: Theory and Applications IV, 77040H (15 April 2010); doi: 10.1117/12.853465; https://doi.org/10.1117/12.853465
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