Citation: | QIU Wenliang, GAO Xinbo, HAN Bing, “Video Saliency Detection via Pairwise Interaction,” Chinese Journal of Electronics, vol. 29, no. 3, pp. 427-436, 2020, doi: 10.1049/cje.2020.02.018 |
L. Itti, C. Koch and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.20, No.11, pp.1254-1259, 1998.
|
J. Harel, C. Koch, P. Perona, et al., “Graph-based visual saliency”, Proc. of Advances in Neural Information Processing Systems, Vancouver, B.C., Canada, pp.545-552, 2006.
|
R. Achanta, S. Hemami, F. Estrada, et al., “Frequencytuned salient region detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Miami, Florida, USA, pp.1597-1604, 2009.
|
M.M. Cheng, N.J. Mitra, X. Huang, et al., “Global contrast based salient region detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.37, No.3, pp.569-582, 2015.
|
R. Margolin, A. Tal and L. Zelnik-Manor, “What makes a patch distinct?”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, USA, pp.1139-1146, 2013.
|
J. Kim, D. Han, Y.W. Tai, et al., “Salient region detection via high-dimensional color transform”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, pp.883-890, 2014.
|
E. Rahtu, J. Kannala, M. Salo, et al., “Segmenting salient objects from images and videos”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, San Franciscan, California, USA, pp.366-379, 2010.
|
S.H. Zhong, Y. Liu, F. Ren, et al., “Video saliency detection via dynamic consistent spatio-temporal attention modelling”, Proc. of AAAI Conference on Artificial Intelligence, Bellevue, Washington, USA, pp.1063-1069, 2013.
|
Y. Li, B. Sheng, L. Ma, et al., “Temporally coherent video saliency using regional dynamic contrast”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.23, No.12, pp.2067-2076, 2013.
|
W. Wang, J. Shen and L. Shao, et al., “Consistent video saliency using local gradient flow optimization and global refinement”, IEEE Transactions on Image Processing, Vol.24, No.11, pp.4185-4196, 2015.
|
Y. Zhai and M. Shah, “Visual attention detection in video sequences using spatiotemporal cues”, Proc. of ACM International Conference on Multimedia, Santa Barbara, California, USA, pp.815-824, 2006.
|
H.J. Seo and P. Milanfar, “Static and space-time visual saliency detection by self-resemblance”, Journal of Vision, Vol.9, No.12, pp.1-27, 2009.
|
W. Kim, C. Jung and C. Kim, “Spatiotemporal saliency detection and its applications in static and dynamic scenes”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.21, No.4, pp.446-456, 2011.
|
C. Yang, L. Zhang, H. Lu, et al., “Saliency detection via graph-based manifold ranking”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, USA, pp.3166-3173, 2013.
|
R. Liu, J. Cao, Z. Lin, et al., “Adaptive partial differential equation learning for visual saliency detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, pp.3866-3873, 2014.
|
R. Achanta, A. Shaji, K. Smith, et al., “SLIC superpixels compared to state-of-the-art superpixel methods”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.34, No.11, pp.2274-2282, 2012.
|
T. Liu, Z. Yuan, J. Sun, et al., “Learning to detect a salient object”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.33, No.2, pp.353-367, 2011.
|
L. Mai, Y. Niu and F. Liu, “Saliency aggregation: A datadriven approach”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, USA, pp.1131-1138, 2013.
|
A. Bulatov and M. Grohe, “The complexity of partition functions”, Theoretical Computer Science, Vol.348, No.2-3, pp.148-186, 2005.
|
A. Kolesnikov, M. Guillaumin, V. Ferrari, et al., “Closed-form approximate CRF training for scalable image segmentation”, Proc. of European Conference on Computer Vision, Zurich, Switzerland, pp.550-565, 2014.
|
A. Borji, M.M. Cheng, H. Jiang, et al., “Salient object detection: A benchmark”, IEEE Transactions on Image Processing, Vol.24, No.12, pp.5706-5722, 2015.
|
R. Margolin, L. Zelnik-Manor and A. Tal, “How to evaluate foreground maps?”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, pp.248-255, 2014.
|
K. Fukuchi, K. Miyazato, A. Kimura, et al., “Saliencybased video segmentation with graph cuts and sequentially updated priors”, Proc. of IEEE International Conference on Multimedia and Expo, New York City, USA, pp.638-641, 2009.
|
H. Fu, D. Xu, B. Zhang, et al., “Object-based multiple foreground video co-segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, pp.3166-3173, 2014.
|
D. Tsai, M. Flagg, A. Nakazawa, et al., “Motion coherent tracking using multi-label MRF optimization”, International Journal of Computer Vision, Vol.100, No.2, pp.190-202, 2012.
|
S. Goferman, L. Zelnik-Manor, A. Tal, et al., “Context-aware saliency detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.34, No.10, pp.1915-1926, 2012.
|
F. Perazzi F, P. Kr‘?ahenb‘?uhl, Y. Pritch, et al., “Saliency filters: Contrast based filtering for salient region detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA, pp.733-740, 2012.
|
Q. Yan, L. Xu, J. Shi, et al., “Hierarchical saliency detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, USA, pp.1155-1162, 2013.
|
Y. Qin, H. Lu, Y. Xu, et al., “Saliency detection via cellular automata”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Boston, Massachusetts, USA, pp.110-119, 2015.
|
Y. Li, Y. Zhou, J. Yan, et al., “Visual saliency based on conditional entropy”, Proc. of Asian Conference on Computer Vision, Xi’an, Shaanxi, China, pp.246-257, 2009.
|
B. Zhou, X. Hou and L. Zhang, “A phase discrepancy analysis of object motion”, Proc. of Asian Conference on Computer Vision, Queenstown, New Zealand, pp.225-238, 2010.
|
H. Kim, Y. Kim, J.Y. Sim, et al., “Spatiotemporal saliency detection for video sequences based on random walk with restart”, IEEE Transactions on Image Processing, Vol.24, No.8, pp.2552-2564, 2015.
|
W. Wang, J. Shen and F. Porikli, “Saliency-aware geodesic video object segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Boston, Massachusetts, USA, pp.3395-3402, 2015.
|
H.J. Seo and P. Milanfar, “Nonparametric bottom-up saliency detection by self-resemblance”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition Workshops, Miami, Florida, USA, pp.45-52, 2009.
|
C.R. Huang, Y.J. Chang, Z.X. Yang, et al., “Video saliency map detection by dominant camera motion removal”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.24, No.8, pp.1336-1349, 2014.
|
X. Tao, W. Zhao, H. Wang, et al., “Salient object detection with spatiotemporal background priors for video”, IEEE Transactions on Image Processing, Vol.27, No.7, pp.3425-3436, 2017.
|
Z. Liu, J. Li, L. Ye, et al., “Saliency detection for unconstrained videos using superpixel-level graph and spatiotemporal propagation”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.27, No.12, pp.2527-2542, 2017.
|