{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:27:58Z","timestamp":1740122878445,"version":"3.37.3"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"15","license":[{"start":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T00:00:00Z","timestamp":1552608000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61305041"],"award-info":[{"award-number":["61305041"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s11042-019-7407-9","type":"journal-article","created":{"date-parts":[[2019,3,15]],"date-time":"2019-03-15T05:24:47Z","timestamp":1552627487000},"page":"21205-21221","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Saliency detection based on superpixel correlation and cosine window filtering"],"prefix":"10.1007","volume":"78","author":[{"given":"Yunyi","family":"Yan","sequence":"first","affiliation":[]},{"given":"Jiang","family":"Zhu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,15]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Achanta R, Hemami S, Estrada F, Susstrunk S (2009) Frequency-tuned salient region detection. Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, p 1597\u20131604","key":"7407_CR1","DOI":"10.1109\/CVPR.2009.5206596"},{"unstructured":"Achanta R, Shaji A, Smith K, Lucchi A, Fua P, S\u00fcsstrunk S (2010) SLIC superpixels. Epfl","key":"7407_CR2"},{"doi-asserted-by":"crossref","unstructured":"Cheng MM, Zhang GX, Mitra NJ, Torr PH, Hu SM (2011) Global contrast based salient region detection. Computer Vision and Pattern Recognition. IEEE, p 409\u2013416","key":"7407_CR3","DOI":"10.1109\/CVPR.2011.5995344"},{"doi-asserted-by":"crossref","unstructured":"Ge W, Yu Y (2017) Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Proc. IEEE Conference on Computer Vision and Pattern Recognition, Honolulu","key":"7407_CR4","DOI":"10.1109\/CVPR.2017.9"},{"key":"7407_CR5","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1007\/978-3-642-21786-9_74","volume-title":"A scheme for attentional video compression. Pattern recognition and machine intelligence","author":"R Gupta","year":"2011","unstructured":"Gupta R, Chaudhury S (2011) A scheme for attentional video compression. Pattern recognition and machine intelligence. Springer, Berlin Heidelberg, pp 458\u2013465"},{"doi-asserted-by":"crossref","unstructured":"Hou X, Zhang L (2007) Saliency detection: a spectral residual approach. Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on. IEEE, p 1\u20138","key":"7407_CR6","DOI":"10.1109\/CVPR.2007.383267"},{"key":"7407_CR7","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1109\/34.730558","volume":"20","author":"L Itti","year":"1998","unstructured":"Itti L, Koch C, Niebur E (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Pattern Anal Mach Intell 20:1254\u20131259","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"doi-asserted-by":"crossref","unstructured":"Kim W, Kim C (2011) A novel image importance model for content-aware image resizing. IEEE International Conference on Image Processing, p 2469\u20132472","key":"7407_CR8","DOI":"10.1109\/ICIP.2011.6116161"},{"unstructured":"Krahenbuhl P (2012) Saliency filters: contrast based filtering for salient region detection. Computer Vision and Pattern Recognition. IEEE, p 733\u2013740","key":"7407_CR9"},{"unstructured":"Li G, Yu Y (2015) Visual saliency based on multiscale deep features. Proc IEEE Conf Comput Vis Pattern Recognit:5455\u20135463","key":"7407_CR10"},{"doi-asserted-by":"crossref","unstructured":"Mahadevan V, Vasconcelos N (2009) Saliency-based discriminant tracking. Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, p 1007\u20131013","key":"7407_CR11","DOI":"10.1109\/CVPR.2009.5206573"},{"key":"7407_CR12","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Ohtsu","year":"2007","unstructured":"Ohtsu N (2007) A threshold selection method from gray-level histograms. IEEE Trans Syst Man Cybern 9:62\u201366","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"7407_CR13","first-page":"545","volume-title":"Graph-based visual saliency. International conference on neural information processing systems","author":"B Sch\u00f6lkopf","year":"2006","unstructured":"Sch\u00f6lkopf B, Platt J, Hofmann T (2006) Graph-based visual saliency. International conference on neural information processing systems. MIT Press, Cambridge, pp 545\u2013552"},{"doi-asserted-by":"crossref","unstructured":"Wang W, Shen J, Porikli F (2015) Saliency-aware geodesic video object segmentation. Computer Vision and Pattern Recognition IEEE, p 3395\u20133402","key":"7407_CR14","DOI":"10.1109\/CVPR.2015.7298961"},{"doi-asserted-by":"crossref","unstructured":"Wang L, Lu H, Xiang R, Yang MH (2015) Deep networks for saliency detection via local estimation and global search. IEEE Conference on Computer Vision and Pattern Recognition 3183\u20133192","key":"7407_CR15","DOI":"10.1109\/CVPR.2015.7298938"},{"unstructured":"Wang L, Wang L, Lu H, Zhang P, Ruan X (2018) Salient object detection with recurrent fully convolutional networks. IEEE Trans Pattern Anal Mach Intell PP(99):1\u20131","key":"7407_CR16"},{"key":"7407_CR17","doi-asserted-by":"publisher","first-page":"2594","DOI":"10.1109\/TIFS.2016.2590944","volume":"11","author":"Z Xia","year":"2017","unstructured":"Xia Z, Wang X, Zhang L, Qin Z, Sun X, Ren K (2017) A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing. IEEE Transactions on Information Forensics & Security 11:2594\u20132608","journal-title":"IEEE Transactions on Information Forensics & Security"},{"doi-asserted-by":"crossref","unstructured":"Zhai Y, Shah M (2006) Visual attention detection in video sequences using spatiotemporal cues. ACM International Conference on Multimedia, p 815\u2013824","key":"7407_CR18","DOI":"10.1145\/1180639.1180824"},{"doi-asserted-by":"crossref","unstructured":"Zhao R, Ouyang W, Li H, Wang X (2015) Saliency detection by multi-context deep learning. Computer Vision and Pattern Recognition. IEEE, p 1265\u20131274","key":"7407_CR19","DOI":"10.1109\/CVPR.2015.7298731"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7407-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7407-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7407-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,3,14]],"date-time":"2020-03-14T00:12:42Z","timestamp":1584144762000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7407-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,15]]},"references-count":19,"journal-issue":{"issue":"15","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["7407"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7407-9","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2019,3,15]]},"assertion":[{"value":"23 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 February 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 March 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}