Motion saliency detection for compressed videos

Zhenhua Tang; Yadan Luo; Rui Zhang; Hongbo Jiang

doi:10.1117/1.JEI.26.5.053018

10 October 2017 Motion saliency detection for compressed videos

Zhenhua Tang, Yadan Luo, Rui Zhang, Hongbo Jiang

Author Affiliations +

Funded by: Natural Science Foundation of China, Guangxi Natural Science Foundation, Fundamental Research Funds for Central Universities, Hubei Province Science and Technology Support Program, Funds of Hubei Key Laboratory of Transpotation Internet of Things, Funds of Hubei Key Laboratory of Inland Shipping Technology, Guangxi Colleges and Universities Key Laboratory of Multimedia Communications and Information Processing

Journal of Electronic Imaging, Vol. 26, Issue 5, 053018 (October 2017). https://doi.org/10.1117/1.JEI.26.5.053018

Abstract

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.

Citation Download Citation

Zhenhua Tang, Yadan Luo, Rui Zhang, and 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

Received: 29 November 2016; Accepted: 12 September 2017; Published: 10 October 2017

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