10 October 2017 Motion saliency detection for compressed videos
Author Affiliations +
J. of Electronic Imaging, 26(5), 053018 (2017). doi:10.1117/1.JEI.26.5.053018
Motion saliency detection in a compressed domain is crucial for various video applications, including retargeting, surveillance, object checking, and segmentation. The goal of this paper is to improve the performances of an existing motion saliency detection model in a compressed domain developed by Fang et al. Specifically, we improve the detection accuracy of motion center-surround features by dynamically fitting the parameters of a Gaussian distribution model. Besides, the parameters for the distribution of distance in horizontal and vertical directions are obtained separately instead of treating them together. In addition, the motion importance features are exploited to strengthen the performance of detection. Experimental results demonstrate that the proposed motion saliency detection method outperforms the existing approaches in both a pixel and compressed domain.
© 2017 SPIE and IS&T
Zhenhua Tang, Yadan Luo, Rui Zhang, Hongbo Jiang, "Motion saliency detection for compressed videos," Journal of Electronic Imaging 26(5), 053018 (10 October 2017). https://doi.org/10.1117/1.JEI.26.5.053018 Submission: Received 29 November 2016; Accepted 12 September 2017
Submission: Received 29 November 2016; Accepted 12 September 2017


Motion detection

Video compression

Video surveillance

Motion models


Video processing

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