{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T05:40:01Z","timestamp":1750484401969,"version":"3.41.0"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2017,7,4]],"date-time":"2017-07-04T00:00:00Z","timestamp":1499126400000},"content-version":"unspecified","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":["51475086"],"award-info":[{"award-number":["51475086"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1007\/s00371-017-1404-7","type":"journal-article","created":{"date-parts":[[2017,7,4]],"date-time":"2017-07-04T12:50:33Z","timestamp":1499172633000},"page":"645-658","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Salient object detection based on Laplacian similarity metrics"],"prefix":"10.1007","volume":"34","author":[{"given":"Baoyan","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,7,4]]},"reference":[{"issue":"5","key":"1404_CR1","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1016\/j.cja.2013.07.038","volume":"26","author":"H Shen","year":"2013","unstructured":"Shen, H., Li, S., Zhu, C., Chang, H., Zhang, J.: Moving object detection in aerial video based on spatiotemporal saliency. Chin. J. Aeronaut. 26(5), 1211\u20131217 (2013)","journal-title":"Chin. J. Aeronaut."},{"issue":"5","key":"1404_CR2","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1109\/TCSVT.2013.2280096","volume":"24","author":"Z Ren","year":"2013","unstructured":"Ren, Z., Gao, S., Chia, L.-T., Tsang, I.W.-H.: Region-based saliency detection and its application in object recognition. IEEE Trans. Circuits Syst. Video Technol. 24(5), 769\u2013779 (2013)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"1","key":"1404_CR3","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/TIP.2009.2030969","volume":"19","author":"C Guo","year":"2010","unstructured":"Guo, C., Zhang, L.: A novel multiresolution spatiotemporal saliency detection model and its applications in image and video compression. IEEE Trans. Image Process. 19(1), 185\u2013198 (2010)","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"1404_CR4","doi-asserted-by":"crossref","first-page":"1304","DOI":"10.1109\/TIP.2004.834657","volume":"13","author":"L Itti","year":"2004","unstructured":"Itti, L.: Automatic foveation for video compression using a neurobiological model of visual attention. IEEE Trans. Image Process 13(10), 1304\u20131318 (2004)","journal-title":"IEEE Trans. Image Process"},{"key":"1404_CR5","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.neucom.2013.09.021","volume":"129","author":"C Qin","year":"2013","unstructured":"Qin, C., Zhang, G., Zhou, Y., Tao, W., Cao, Z.: Integration of the saliency-based seed extraction and random walks for image segmentation. Neurocomputing 129, 378\u2013391 (2013)","journal-title":"Neurocomputing"},{"key":"1404_CR6","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1007\/s00371-011-0559-x","volume":"27","author":"D Wang","year":"2011","unstructured":"Wang, D., Li, G., Jia, W., et al.: Saliency-driven scaling optimization for image retargeting. Vis. Comput. 27, 853\u2013860 (2011)","journal-title":"Vis. Comput."},{"issue":"3","key":"1404_CR7","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1109\/MMUL.2013.15","volume":"20","author":"L Li","year":"2013","unstructured":"Li, L., Jiang, S., Zha, Z.-J., Wu, Z., Huang, Q.: Partial-duplicate image retrieval via saliency-guided visual matching. IEEE Multimedia. 20(3), 13\u201323 (2013)","journal-title":"IEEE Multimedia."},{"issue":"5","key":"1404_CR8","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s00371-012-0740-x","volume":"29","author":"R Margolin","year":"2013","unstructured":"Margolin, R., Zelnik-Manor, L., Tal, A.: Saliency for image manipulation. Vis. Comput. 29(5), 381\u2013392 (2013)","journal-title":"Vis. Comput."},{"key":"1404_CR9","doi-asserted-by":"crossref","unstructured":"Klein, D.A., Schulz, D., Frintrop, S., Cremers, A. B.: Adaptive real-time video-tracking for arbitrary objects. In: Proceedings IEEE\/RSJ IROS, pp. 772\u2013777 (2010)","DOI":"10.1109\/IROS.2010.5650583"},{"key":"1404_CR10","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1007\/s00371-008-0308-y","volume":"25","author":"H Zhao","year":"2009","unstructured":"Zhao, H., Mao, X., Jin, X., et al.: Real-time saliency-aware video abstraction. Vis. Comput. 25, 973\u2013984 (2009)","journal-title":"Vis. Comput."},{"issue":"12","key":"1404_CR11","doi-asserted-by":"crossref","first-page":"5706","DOI":"10.1109\/TIP.2015.2487833","volume":"24","author":"A Borji","year":"2015","unstructured":"Borji, A., et al.: Salient object detection: a benchmark. IEEE Trans. Image Process. 24(12), 5706\u20135722 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"1404_CR12","doi-asserted-by":"crossref","unstructured":"Wei, Y., et al.: Geodesic saliency using background priors. In: 2012 Computer Vision\u2013ECCV, pp. 29\u201342, (2012)","DOI":"10.1007\/978-3-642-33712-3_3"},{"key":"1404_CR13","doi-asserted-by":"crossref","unstructured":"Jiang, H., et al.: Salient object detection: a discriminative regional feature integration approach. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2083\u20132090 (2013)","DOI":"10.1109\/CVPR.2013.271"},{"key":"1404_CR14","doi-asserted-by":"crossref","unstructured":"Zhu, W., et al.: Saliency optimization from robust background detection. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2814\u20132821 (2014)","DOI":"10.1109\/CVPR.2014.360"},{"key":"1404_CR15","doi-asserted-by":"crossref","unstructured":"Li, X., et al.: Saliency detection via dense and sparse reconstruction. In: 2013 IEEE Conference on Computer Vision, pp. 2976\u20132983 (2013)","DOI":"10.1109\/ICCV.2013.370"},{"key":"1404_CR16","doi-asserted-by":"crossref","unstructured":"Jiang, B., et al.: Saliency detection via absorbing markov chain. In: 2013 IEEE Conference on Computer Vision, pp. 1665\u20131672 (2013)","DOI":"10.1109\/ICCV.2013.209"},{"key":"1404_CR17","doi-asserted-by":"crossref","unstructured":"Yang, C., et al.: Saliency detection via graph-based manifold ranking. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3166\u20133173 (2013)","DOI":"10.1109\/CVPR.2013.407"},{"key":"1404_CR18","doi-asserted-by":"crossref","unstructured":"Qin, Y., et al.: Saliency detection via cellular automata. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition, pp. 110\u2013119 (2015)","DOI":"10.1109\/CVPR.2015.7298606"},{"key":"1404_CR19","doi-asserted-by":"crossref","unstructured":"Li, C., et al.: Robust saliency detection via regularized random walks ranking. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2710\u20132717 (2015)","DOI":"10.1109\/CVPR.2015.7298887"},{"issue":"1","key":"1404_CR20","first-page":"130","volume":"37","author":"W Jiang","year":"2015","unstructured":"Jiang, W., et al.: Saliency detection model based on selective edges prior. J. Electron. Inf. Technol. 37(1), 130\u2013136 (2015)","journal-title":"J. Electron. Inf. Technol."},{"key":"1404_CR21","doi-asserted-by":"crossref","unstructured":"Wu, X.-M., Li, Z., Chang, S.-F.: New insights into Laplacian similarity search. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1949\u20131957 (2015)","DOI":"10.1109\/CVPR.2015.7298805"},{"key":"1404_CR22","doi-asserted-by":"crossref","unstructured":"Shen, X., Wu, Y.: A unified approach to salient object detection via low rank matrix recovery. 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 853\u2013860 (2012)","DOI":"10.1109\/CVPR.2012.6247758"},{"issue":"10","key":"1404_CR23","doi-asserted-by":"crossref","first-page":"1915","DOI":"10.1109\/TPAMI.2011.272","volume":"34","author":"S Goferman","year":"2012","unstructured":"Goferman, S., Zelnik-Manor, L., Tal, A.: Context-aware saliency detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(10), 1915\u20131926 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1404_CR24","doi-asserted-by":"crossref","unstructured":"Li, Z., Chen, J.: Superpixel Segmentation using Linear Spectral Clustering. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1356\u20131363 (2015)","DOI":"10.1109\/CVPR.2015.7298741"},{"key":"1404_CR25","first-page":"211","volume":"2010","author":"O Veksler","year":"2010","unstructured":"Veksler, O., Boykov, Y., Mehran, P.: Superpixels and supervoxels in an energy optimization framework. Comput. Vis.\u2013ECCV 2010, 211\u2013224 (2010)","journal-title":"Comput. Vis.\u2013ECCV"},{"key":"1404_CR26","first-page":"13","volume":"2012","author":"M Bergh Van den","year":"2012","unstructured":"Van den Bergh, M., et al.: Seeds: superpixels extracted via energy-driven sampling. Comput. Vis.\u2013ECCV 2012, 13\u201326 (2012)","journal-title":"Comput. Vis.\u2013ECCV"},{"key":"1404_CR27","doi-asserted-by":"crossref","unstructured":"Liu, M.-Y., et al.: Entropy rate superpixel segmentation. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2097\u20132104 (2011)","DOI":"10.1109\/CVPR.2011.5995323"},{"key":"1404_CR28","doi-asserted-by":"crossref","unstructured":"Yu, S.X., Shi, J.: Multiclass spectral clustering. In: 2003 IEEE International Conference on Computer Vision, pp. 313\u2013319 (2003)","DOI":"10.1109\/ICCV.2003.1238361"},{"issue":"11","key":"1404_CR29","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","volume":"34","author":"R Achanta","year":"2012","unstructured":"Achanta, R., et al.: SLIC superpixels compared to state-of-the-art superpixel methods. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2274\u20132282 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"1404_CR30","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from graylevel histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62\u201366 (1979)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"1404_CR31","unstructured":"Mingming, C.: MSRA10K Salient Object Database (2014). http:\/\/mmcheng.net\/msra10k\/"},{"issue":"4","key":"1404_CR32","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1109\/TPAMI.2015.2465960","volume":"38","author":"Jianping Shi","year":"2016","unstructured":"Shi, Jianping, Yan, Qiong, Li, Xu, Jia, Jiaya: Hierarchical image saliency detection on extended CSSD. IEEE Trans. Pattern Anal. Mach. Intell. 38(4), 717\u2013729 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1404_CR33","doi-asserted-by":"crossref","unstructured":"Li, Y., Hou, X., Koch, C., Rehg, J., Yuille, A.: The secrets of salient object segmentation. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 4321\u20134328 (2014)","DOI":"10.1109\/CVPR.2014.43"},{"key":"1404_CR34","doi-asserted-by":"crossref","unstructured":"Achanta, R., et al.: Frequency-tuned salient region detection. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1597\u20131604 (2009)","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"1404_CR35","doi-asserted-by":"crossref","unstructured":"Tavakoli, H.R., Rahtu, E., Heikkil\u00e4, J.: Fast and efficient saliency detection using sparse sampling and kernel density estimation. Image Analysis. pp. 666\u2013675, Springer (2011)","DOI":"10.1007\/978-3-642-21227-7_62"},{"issue":"7","key":"1404_CR36","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1109\/LSP.2013.2260737","volume":"20","author":"C Yang","year":"2013","unstructured":"Yang, C., Zhang, L., Lu, H.: Graph-regularized saliency detection with convex-hull-based center prior. IEEE Signal Process. Lett. 20(7), 637\u2013640 (2013)","journal-title":"IEEE Signal Process. Lett."},{"issue":"4","key":"1404_CR37","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1167\/13.4.11","volume":"13","author":"E Erdem","year":"2013","unstructured":"Erdem, E., Erdem, A.: Visual saliency estimation by nonlinearly integrating features using region covariances. J. vis. 13(4), 11\u201311 (2013)","journal-title":"J. vis."},{"key":"1404_CR38","first-page":"366","volume":"2010","author":"E Rahtu","year":"2010","unstructured":"Rahtu, E., et al.: Segmenting salient objects from images and videos. Comput. Vis.\u2013ECCV 2010, 366\u2013379 (2010)","journal-title":"Comput. Vis.\u2013ECCV"},{"key":"1404_CR39","doi-asserted-by":"crossref","unstructured":"Murray, N., et al.: Saliency estimation using a non-parametric low-level vision model. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, 433\u2013440 (2011)","DOI":"10.1109\/CVPR.2011.5995506"},{"key":"1404_CR40","doi-asserted-by":"crossref","unstructured":"Hou, X., Zhang, L.: Saliency detection: A spectral residual approach. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2007)","DOI":"10.1109\/CVPR.2007.383267"},{"issue":"1","key":"1404_CR41","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/TPAMI.2011.146","volume":"34","author":"X Hou","year":"2012","unstructured":"Hou, X., Harel, J., Koch, C.: Image signature: highlighting sparse salient regions. IEEE Trans- Pattern Anal. Mach. Intell. 34(1), 194\u2013201 (2012)","journal-title":"IEEE Trans- Pattern Anal. Mach. Intell."},{"key":"1404_CR42","doi-asserted-by":"crossref","unstructured":"Duan, L., et al.: Visual saliency detection by spatially weighted dissimilarity. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp. 473\u2013480 (2011)","DOI":"10.1109\/CVPR.2011.5995676"},{"key":"1404_CR43","doi-asserted-by":"crossref","unstructured":"Perazzi, F., et al.: Saliency filters: Contrast based filtering for salient region detection. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 733\u2013740 (2012)","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"1404_CR44","doi-asserted-by":"crossref","unstructured":"Li, Y., Hou, X., Koch, C., Rehg, J., Yuille, A.: The secrets of salient object segmentation. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp. 4321\u20134328 (2014)","DOI":"10.1109\/CVPR.2014.43"},{"key":"1404_CR45","doi-asserted-by":"crossref","unstructured":"Achanta, R., et al.: Frequency-tuned salient region detection. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1597\u20131604 (2009)","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"1404_CR46","doi-asserted-by":"crossref","unstructured":"Yan, Q., et al.: Hierarchical saliency detection. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1155\u20131162 (2013)","DOI":"10.1109\/CVPR.2013.153"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00371-017-1404-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-017-1404-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-017-1404-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,21]],"date-time":"2025-06-21T05:00:14Z","timestamp":1750482014000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00371-017-1404-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,4]]},"references-count":46,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,5]]}},"alternative-id":["1404"],"URL":"https:\/\/doi.org\/10.1007\/s00371-017-1404-7","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2017,7,4]]}}}