{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T10:26:32Z","timestamp":1742984792866,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030050894"},{"type":"electronic","value":"9783030050900"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-05090-0_11","type":"book-chapter","created":{"date-parts":[[2018,12,28]],"date-time":"2018-12-28T13:24:32Z","timestamp":1546003472000},"page":"129-139","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection"],"prefix":"10.1007","author":[{"given":"Chao","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[]},{"given":"KeXin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Zhuang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,12,29]]},"reference":[{"issue":"12","key":"11_CR1","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1109\/TIP.2015.2487833","volume":"24","author":"A Borji","year":"2015","unstructured":"Borji, A., Cheng, M.M., Jiang, H., et al.: Salient object detection: a benchmark. IEEE Trans. Image Process. 24(12), 5706\u20135722 (2015)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"11_CR2","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1109\/TIP.2017.2762422","volume":"27","author":"Y Yuan","year":"2018","unstructured":"Yuan, Y., Li, C., Kim, J., et al.: Reversion correction and regularized random walk ranking for saliency detection. IEEE Trans. Image Process. 27(3), 1311\u20131322 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Li, X., Lu, H., Zhang, L.: Saliency detection via dense and sparse reconstruction. In: Proceedings of the 2013 IEEE International Conference on Computer Vision (ICCV), pp. 2976\u20132983. IEEE, Sydney (2013)","DOI":"10.1109\/ICCV.2013.370"},{"issue":"10","key":"11_CR4","doi-asserted-by":"publisher","first-page":"3019","DOI":"10.1109\/TIP.2015.2432712","volume":"24","author":"K Wang","year":"2015","unstructured":"Wang, K., Lin, L., Lu, J., Li, C., Shi, K.: PISA: pixelwise image saliency by aggregating complementary appearance contrast measures with edge-preserving coherence. IEEE Trans. Image Process. 24(10), 3019\u20133033 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Wang, L., Lu, H., Ruan, X., Yang, M.H.:Deep networks for saliency detection via local estimation and global search. In: Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3183\u20133192. IEEE, Boston (2015)","DOI":"10.1109\/CVPR.2015.7298938"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Chen, W., et al.: EEG-based motion intention recognition via multi-task RNNs. In: Proceedings of the 2018 SIAM International Conference on Data Mining, pp. 279\u2013287. Society for Industrial and Applied Mathematics (2018)","DOI":"10.1137\/1.9781611975321.32"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Li, X., Lu, H., Zhang, L., Ruan, X.: Saliency detection via dense and sparse reconstruction. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2976\u20132983. IEEE, Sydney (2013)","DOI":"10.1109\/ICCV.2013.370"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Jain, S.D., Grauman K.: Active image segmentation propagation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2864\u20132873. IEEE, Nevada (2016)","DOI":"10.1109\/CVPR.2016.313"},{"issue":"1","key":"11_CR9","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1109\/TCSVT.2014.2319594","volume":"25","author":"G Yu","year":"2015","unstructured":"Yu, G., Yuan, J., Liu, Z.: Propagative Hough voting for human activity detection and recognition. IEEE Trans. Circuits Syst. Video Technol. 25(1), 87\u201398 (2015)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"11_CR10","unstructured":"Yue Lin, Weitong Chen, Xue Li, Wanli Zuo, and Minghao Yin.: A survey of sentiment analysis in social media. Knowl. Inf. Syst. 1\u201347 (2018)"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Horbert, E., Garc\u00eda, G.M., Frintrop, S., Leibe, B.: Sequence level object candidates based on saliency for generic object recognition on mobile systems. In: Proceedings of 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 127\u2013134. IEEE, Washington (2015)","DOI":"10.1109\/ICRA.2015.7138990"},{"issue":"6","key":"11_CR12","doi-asserted-by":"publisher","first-page":"1709","DOI":"10.1109\/TIP.2015.2411433","volume":"24","author":"X Yang","year":"2015","unstructured":"Yang, X., Qian, X., Xue, Y.: Scalable mobile image retrieval by exploring contextual saliency. IEEE Trans. Image Process. 24(6), 1709\u20131721 (2015)","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"11_CR13","doi-asserted-by":"publisher","first-page":"2567","DOI":"10.1016\/j.patcog.2015.02.004","volume":"48","author":"B Lei","year":"2015","unstructured":"Lei, B., Tan, E.L., Chen, S., Ni, D., Wang, T.: Saliency-driven image classification method based on histogram mining and image score. Pattern Recognit. 48(8), 2567\u20132580 (2015)","journal-title":"Pattern Recognit."},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Chandra S, Usunier N, Kokkinos I.:Dense and low-rank Gaussian CRFs using deep embeddings[C]\/\/International Conference on Computer Vision (ICCV), pp. 5113\u20135122. IEEE, Venice (2017)","DOI":"10.1109\/ICCV.2017.546"},{"issue":"7","key":"11_CR15","doi-asserted-by":"publisher","first-page":"3196","DOI":"10.1109\/TIP.2017.2694222","volume":"26","author":"X Yao","year":"2017","unstructured":"Yao, X., Han, J., Zhang, D., et al.: Revisiting co-saliency detection: a novel approach based on two-stage multi-view spectral rotation co-clustering. IEEE Trans. Image Process. 26(7), 3196\u20133209 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Jiang, B., Zhang, L., Lu, H., Yang, C., Yang, M.H.: Saliency detection via absorbing Markov chain. In: Proceedings of the 2013 IEEE International Conference on Computer Vision (ICCV), pp. 1665\u20131672. IEEE, Sydney (2013)","DOI":"10.1109\/ICCV.2013.209"},{"issue":"4","key":"11_CR17","doi-asserted-by":"publisher","first-page":"1592","DOI":"10.1109\/TIP.2016.2524198","volume":"25","author":"H Lu","year":"2016","unstructured":"Lu, H., Li, X., Zhang, L., Ruan, X., Yang, M.H.: Dense and sparse reconstruction error based saliency descriptor. IEEE Trans. Image Process. 25(4), 1592\u20131603 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"11_CR18","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/TIP.2017.2767288","volume":"27","author":"K Ishikura","year":"2018","unstructured":"Ishikura, K., Kurita, N., Chandler, D.M., et al.: Saliency detection based on multiscale extrema of local perceptual color differences. IEEE Trans. Image Process. 27(2), 703\u2013717 (2018)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05090-0_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T14:42:47Z","timestamp":1709822567000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-05090-0_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030050894","9783030050900"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05090-0_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"29 December 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adma2018.nuaa.edu.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}