Tensor-based spatiotemporal saliency detection

Hao Dou; Bin Li; Qianqian Deng; LiRui Zhang; Zhihong Pan; Jinwen Tian

doi:10.1117/12.2283205

8 March 2018 Tensor-based spatiotemporal saliency detection

Hao Dou, Bin Li, Qianqian Deng, LiRui Zhang, Zhihong Pan, Jinwen Tian

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1061107 (2018) https://doi.org/10.1117/12.2283205
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

This paper proposes an effective tensor-based spatiotemporal saliency computation model for saliency detection in videos. First, we construct the tensor representation of video frames. Then, the spatiotemporal saliency can be directly computed by the tensor distance between different tensors, which can preserve the complete temporal and spatial structure information of object in the spatiotemporal domain. Experimental results demonstrate that our method can achieve encouraging performance in comparison with the state-of-the-art methods.

Citation Download Citation

Hao Dou, Bin Li, Qianqian Deng, LiRui Zhang, Zhihong Pan, and Jinwen Tian "Tensor-based spatiotemporal saliency detection", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1061107 (8 March 2018); https://doi.org/10.1117/12.2283205

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