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Saliency-aware High-resolution Video Processing (SHIVPRO)



Zhi Liu received the B.E. and M.E. degrees from Tianjin University, Tianjin, China, and the Ph.D. degree from Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China, in 1999, 2002, and 2005, respectively. He is currently a Professor with the School of Communication and Information Engineering, Shanghai University, Shanghai, China. From Aug. 2012 to Aug. 2014, he was a Visiting Researcher with the SIROCCO Team, IRISA/INRIA-Rennes, France, with the support by EU FP7 Marie Curie Actions. He has published more than 120 refereed technical papers in international journals and conferences. His research interests include saliency models, image/video segmentation, image/video retargeting, video coding, and multimedia communication. He was a TPC member in ICME 2014, WIAMIS 2013, IWVP 2011, PCM 2010, ISPACS 2010, etc. He co-organized special sessions on visual attention, saliency models, and applications at WIAMIS 2013 and ICME 2014. He is an area editor of Signal Processing: Image Communication and served as a guest editor for the special issue on Recent Advances in Saliency Models, Applications and Evaluations in this journal. He is a senior member of IEEE.
Olivier Le Meur received the Ph.D. degree from the University of Nantes in 2005. From 1999 to 2009, he worked in the media and broadcasting industry. In 2003, he joined the research center of Thomson-Technicolor at Rennes where he supervised a research project concerning the modeling of human visual attention. He has been an Associate Professor for image processing at the University of Rennes 1 since 2009. In the SIROCCO team of IRISA/INRIA-Rennes, his research interests are dealing with the understanding of the human visual attention. It includes computational modeling of the visual attention and saliency-based applications (video compression, objective assessment of video quality, retargeting).



6. J. Li, Z. Liu, X. Zhang, O. Le Meur, and L. Shen, Spatiotemporal saliency detection based on superpixel-level trajectory, Signal Processing: Image Communication, vol. 38, pp. 100-114, Oct. 2015.
5. O. Le Meur, and Z. Liu, Saccadic model of eye movements for free-viewing condition, Vision Research, vol. 116, part B, pp. 152-164, Nov. 2015. [Presentation]. [project page]
4. Z. Liu, X. Zhang, S. Luo and O. Le Meur, Superpixel-Based Spatiotemporal Saliency Detection, IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 9, pp. 1522-1540, Sep. 2014. [Code] [Salient object detection in video]

3. Z. Liu, W. Zou and O. Le Meur, Saliency Tree: A Novel Saliency Detection Framework, IEEE Transactions on Image Processing, vol. 23, no. 5, pp. 1937-1952, May 2014. [pdf]

Materials: [Code] [Ground truths] [Proposed saliency maps]

Note that the test images and the original ground truths of the five datasets can be downloaded from the websites for different papers including [34], [35], [23], [56], [57], [58], [51], [59] (see Section VI-A in our paper). For evaluating saliency detection performance, we provide here the ground truths used in our paper.

2. Z. Liu, W. Zou, L. Li, L. Shen and O. Le Meur, Co-saliency detection based on hierarchical segmentation, IEEE Signal Processing Letters, vol. 21(1), 2014 [pdf] [Results] [IF=1.674].

1. Z. Liu, O. Le Meur, S. Luo and L. Shen, Saliency detection using regional histograms, Optics Letters, Vol. 38, N°5, March 2013 [pdf] [Results] [IF=3.39].



  1. L. Li, Z. Liu, W. Zou, X. Zhang, and O. Le Meur, Co-saliency detection based on region-level fusion and pixel-level refinement, International Conference on Multimedia Expo (ICME), Chengdu, July 2014.
  2. X. Zhang, Z. Liu, H. Li, X. Zhao, and P. Zhang, Statistical moving object detection based on imbalanced learning, International Conference on Multimedia Expo (ICME), Chengdu, July 2014.
  3. O. Le Meur, and Z. Liu, Saliency aggregation: Does unity make strength?, Asian Conference on Computer Vision (ACCV), Singapore, Nov. 2014.


  1. Z. Liu, O. Le Meur and S. Luo, Superpixel-based saliency detection, WIAMIS 2013, [pdf] [Presentation].
  2. S. Luo, Z. Liu, L. Li, X. Zou and O. Le Meur, Efficient saliency detection using regional color and spatial information, EUVIP, 2013 [pdf].