{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:22:25Z","timestamp":1760955745717},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,9,29]],"date-time":"2017-09-29T00:00:00Z","timestamp":1506643200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci. China Inf. Sci."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1007\/s11432-016-9150-x","type":"journal-article","created":{"date-parts":[[2017,10,4]],"date-time":"2017-10-04T04:45:52Z","timestamp":1507092352000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Automatic salient object sequence rebuilding for video segment analysis"],"prefix":"10.1007","volume":"61","author":[{"given":"Tie","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haibin","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Shang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zejian","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nanning","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,9,29]]},"reference":[{"key":"9150_CR1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/TPAMI.2012.89","volume":"35","author":"A. Borji","year":"2011","unstructured":"Borji A, Itti L. State-of-the-art in visual attention modeling. IEEE Trans Pattern Anal Mach Intel, 2011, 35: 185\u2013207","journal-title":"IEEE Trans Pattern Anal Mach Intel"},{"key":"9150_CR2","first-page":"089301","volume":"58","author":"L. Ma","year":"2015","unstructured":"Ma L, Chen L, Zhang X J, et al. A waterborne salient ship detection method on SAR imagery. Sci China Inf Sci, 2015, 58: 089301","journal-title":"Sci China Inf Sci"},{"key":"9150_CR3","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1109\/TPAMI.2010.70","volume":"33","author":"T. Liu","year":"2011","unstructured":"Liu T, Yuan Z J, Sun J, et al. Learning to detect a salient object. IEEE Trans Pattern Anal Mach Intel, 2011, 33: 353\u2013367","journal-title":"IEEE Trans Pattern Anal Mach Intel"},{"key":"9150_CR4","first-page":"1","volume-title":"Proceedings of the International Conference on Pattern Recognition, Tampa","author":"T. Liu","year":"2008","unstructured":"Liu T, Zheng N N, Yuan Z J, et al. Video attention: learning to detect a salient object sequence. In: Proceedings of the International Conference on Pattern Recognition, Tampa, 2008. 1\u20134"},{"key":"9150_CR5","first-page":"1028","volume-title":"Proceedings of the IEEE International Conference on Computer Vision, Barcelona","author":"J. Feng","year":"2011","unstructured":"Feng J, Wei Y, Tao L, et al. Salient object detection by composition. In: Proceedings of the IEEE International Conference on Computer Vision, Barcelona, 2011. 1028\u20131035"},{"key":"9150_CR6","first-page":"3166","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland","author":"C. Yang","year":"2013","unstructured":"Yang C, Zhang L, Lu H, et al. Saliency detection via graph-based manifold ranking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, 2013. 3166\u20133173"},{"key":"9150_CR7","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1145\/1124772.1124886","volume-title":"Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Montr\u00b4eal","author":"A. Santella","year":"2006","unstructured":"Santella A, Agrawala M, Decarlo D, et al. Gaze-based interaction for semi-automatic photo cropping. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Montr\u00b4eal, 2006. 771\u2013780"},{"key":"9150_CR8","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/s00530-003-0105-4","volume":"9","author":"L. Q. Chen","year":"2003","unstructured":"Chen L Q, Xie X, Fan X, et al. A visual attention mode for adapting images on small displays. Multim Syst, 2003, 9: 353\u2013364","journal-title":"Multim Syst"},{"key":"9150_CR9","first-page":"847","volume-title":"Proceedings of the International Conference and Exhibition on Computer Graphics and Interactive Techniques (SIGGRAPH), Boston","author":"C. Rother","year":"2006","unstructured":"Rother C, Bordeaux L, Hamadi Y, et al. Autocollage. In: Proceedings of the International Conference and Exhibition on Computer Graphics and Interactive Techniques (SIGGRAPH), Boston, 2006. 847\u2013852"},{"key":"9150_CR10","volume-title":"Proceedings of the British Machine Vision Conference","author":"H. Jiang","year":"2011","unstructured":"Jiang H, Wang J, Yuan Z, et al. Automatic salient object segmentation based on context and shape prior. In: Proceedings of the British Machine Vision Conference. Durham: BMVA Press, 2011"},{"key":"9150_CR11","first-page":"2083","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland","author":"H. Jiang","year":"2013","unstructured":"Jiang H, Wang J, Yuan Z, et al. Salient object detection: a discriminative regional feature integration approach. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, 2013. 2083\u20132090"},{"key":"9150_CR12","doi-asserted-by":"crossref","first-page":"052106","DOI":"10.1007\/s11432-015-5361-3","volume":"59","author":"Y. Zhao","year":"2016","unstructured":"Zhao Y, Lu S J, Qian H L, et al. Robust mesh deformation with salient features preservation. Sci China Inf Sci, 2016, 59: 052106","journal-title":"Sci China Inf Sci"},{"key":"9150_CR13","doi-asserted-by":"crossref","first-page":"032104","DOI":"10.1007\/s11432-015-5420-9","volume":"59","author":"X. M. Wu","year":"2016","unstructured":"Wu X M, Du M N, Chen W H, et al. Salient object detection via region contrast and graph regularization. Sci China Inf Sci, 2016, 59: 032104","journal-title":"Sci China Inf Sci"},{"key":"9150_CR14","first-page":"142","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island","author":"D. Comaniciu","year":"2000","unstructured":"Comaniciu D, Ramesh V, Meer P. Real-time tracking of nonrigid objects using mean shift. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, 2000. 142\u2013149"},{"key":"9150_CR15","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"Y. Wei","year":"2007","unstructured":"Wei Y, Sun J, Tang X, et al. Interactive offline tracking for color objects. In: Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, 2007"},{"key":"9150_CR16","first-page":"193","volume-title":"Berlin: Springer","author":"G. Zhang","year":"2009","unstructured":"Zhang G, Yuan Z, Zheng N N, et al. Visual saliency based object tracking. 1111In: Proceedings of the Asian Conference on Computer Vision. Berlin: Springer, 2009. 193\u2013203"},{"key":"9150_CR17","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"D. Liu","year":"2007","unstructured":"Liu D, Chen T. A topic-motion model for unsupervised video object discovery. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, 2007"},{"key":"9150_CR18","first-page":"012106","volume":"59","author":"X. Yun","year":"2016","unstructured":"Yun X, Jing Z L, Xiao G, et al. A compressive tracking based on time-space Kalman fusion model. Sci China Inf Sci, 2016, 59: 012106","journal-title":"Sci China Inf Sci"},{"key":"9150_CR19","doi-asserted-by":"crossref","first-page":"062401","DOI":"10.1007\/s11432-016-0037-0","volume":"60","author":"Y. X. Yang","year":"2017","unstructured":"Yang Y X, Yang J, Zhang Z X, et al. High-speed visual target tracking with mixed rotation invariant description and skipping searching. Sci China Inf Sci, 2017, 60: 062401","journal-title":"Sci China Inf Sci"},{"key":"9150_CR20","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3437-9","volume-title":"Sequential Monte Carlo Methods in Practice","author":"A. Doucet","year":"2001","unstructured":"Doucet A, Freitas N, Gordon N. Sequential Monte Carlo Methods in Practice. Berlin: Springer, 2001"},{"key":"9150_CR21","first-page":"282","volume-title":"Proceedings of the International Conference on Machine Learning","author":"J. Lafferty","year":"2001","unstructured":"Lafferty J, McCallum A, Pereira F. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the International Conference on Machine Learning. San Francisco: Morgan Kaufmann Publishers, 2001. 282\u2013289"},{"key":"9150_CR22","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J. Shi","year":"2000","unstructured":"Shi J, Malik J. Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intel, 2000, 22: 888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intel"},{"key":"9150_CR23","first-page":"428","volume-title":"Berlin: Springer","author":"A. Blake","year":"2004","unstructured":"Blake A, Rother C, Brown M, et al. Interactive image segmentation using an adaptive GMMRF model. 1111In: Proceedings of the European Conference on Computer Vision. Berlin: Springer, 2004. 428\u2013441"},{"key":"9150_CR24","volume-title":"Proceedings of the IEEE International Conference on Computer Vision","author":"J. Sun","year":"2005","unstructured":"Sun J, Zhang W, Tang X, et al. Bi-directional tracking using trajectory segment analysis. In: Proceedings of the IEEE International Conference on Computer Vision, Beijing, 2005"},{"key":"9150_CR25","first-page":"8224","volume-title":"Proceedings of the 8th International Symposium on Multispectral Image Processing and Pattern Recognition","author":"Y. Zhang","year":"2013","unstructured":"Zhang Y, Su A, Zhu X, et al. Salient object detection approach in UAV video. In: Proceedings of the 8th International Symposium on Multispectral Image Processing and Pattern Recognition. Bellingham: SPIE Proceedings, 2013. 8224"}],"container-title":["Science China Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-016-9150-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11432-016-9150-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11432-016-9150-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,4]],"date-time":"2017-10-04T04:45:57Z","timestamp":1507092357000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11432-016-9150-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,29]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["9150"],"URL":"https:\/\/doi.org\/10.1007\/s11432-016-9150-x","relation":{},"ISSN":["1674-733X","1869-1919"],"issn-type":[{"value":"1674-733X","type":"print"},{"value":"1869-1919","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,29]]},"article-number":"012205"}}