{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T11:52:22Z","timestamp":1725882742479},"publisher-location":"Singapore","reference-count":32,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811041532"},{"type":"electronic","value":"9789811041549"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-981-10-4154-9_18","type":"book-chapter","created":{"date-parts":[[2017,3,17]],"date-time":"2017-03-17T00:29:21Z","timestamp":1489710561000},"page":"145-154","source":"Crossref","is-referenced-by-count":1,"title":["Saliency Detection via Foreground and Background Seeds"],"prefix":"10.1007","author":[{"given":"Xiao","family":"Lin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixun","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linhua","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,18]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","unstructured":"Rabinovich, A., Vedaldi, A., Galleguillos, C., et al.: Objects in context. In: 2007 IEEE 11th International Conference on Computer Vision, pp. 1\u20138. IEEE (2007)","DOI":"10.1109\/ICCV.2007.4408986"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Rutishauser, U., Walther, D., Koch, C., et al.: Is bottom-up attention useful for object recognition? In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004, CVPR 2004, vol. 2, pp. II-37\u2013II-44. IEEE (2004)","DOI":"10.1109\/CVPR.2004.1315142"},{"issue":"9","key":"18_CR3","doi-asserted-by":"crossref","first-page":"3888","DOI":"10.1109\/TIP.2012.2199126","volume":"21","author":"Y Fang","year":"2012","unstructured":"Fang, Y., Chen, Z., Lin, W., et al.: Saliency detection in the compressed domain for adaptive image retargeting. IEEE Trans. Image Process. 21(9), 3888\u20133901 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"18_CR4","unstructured":"Wang, X.J., Ma, W.Y., Li, X.: Data-driven approach for bridging the cognitive gap in image retrieval. In: 2004 IEEE International Conference on Multimedia and Expo, 2004, ICME 2004, vol. 3, pp. 2231\u20132234. IEEE (2004)"},{"key":"18_CR5","doi-asserted-by":"crossref","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, pp. 3166\u20133173 (2013)","DOI":"10.1109\/CVPR.2013.407"},{"issue":"12","key":"18_CR6","doi-asserted-by":"crossref","first-page":"3232","DOI":"10.1109\/TIP.2010.2053940","volume":"19","author":"V Gopalakrishnan","year":"2010","unstructured":"Gopalakrishnan, V., Hu, Y., Rajan, D.: Random walks on graphs for salient object detection in images. IEEE Trans. Image Process. 19(12), 3232\u20133242 (2010)","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"18_CR7","doi-asserted-by":"crossref","first-page":"3176","DOI":"10.1109\/TIP.2015.2440174","volume":"24","author":"H Li","year":"2015","unstructured":"Li, H., Lu, H., Lin, Z., et al.: Inner and inter label propagation: salient object detection in the wild. IEEE Trans. Image Process. 24(10), 3176\u20133186 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Zhu, W., Liang, S., Wei, Y., et al.: Saliency optimization from robust background detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2814\u20132821 (2014)","DOI":"10.1109\/CVPR.2014.360"},{"issue":"5","key":"18_CR9","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.1109\/TIP.2012.2216276","volume":"22","author":"Y Xie","year":"2013","unstructured":"Xie, Y., Lu, H., Yang, M.H.: Bayesian saliency via low and mid level cues. IEEE Trans. Image Process. 22(5), 1689\u20131698 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"18_CR10","doi-asserted-by":"crossref","unstructured":"Tong, N., Lu, H., Ruan, X., et al.: Salient object detection via bootstrap learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1884\u20131892 (2015)","DOI":"10.1109\/CVPR.2015.7298798"},{"key":"18_CR11","unstructured":"Achanta, R., Shaji, A., Smith, K., et al.: Slic superpixels (2010)"},{"key":"18_CR12","doi-asserted-by":"crossref","unstructured":"Harel, J., Koch, C., Perona, P.: Graph-based visual saliency. In: Advances in Neural Information Processing Systems, pp. 545\u2013552 (2006)","DOI":"10.7551\/mitpress\/7503.003.0073"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Yang, J., Yang, M.H.: Top-down visual saliency via joint CRF and dictionary learning. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2296\u20132303. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247940"},{"key":"18_CR14","doi-asserted-by":"crossref","unstructured":"Alexe, B., Deselaers, T., Ferrari, V.: What is an object? In: 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 73\u201380. IEEE (2010)","DOI":"10.1109\/CVPR.2010.5540226"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Koch, C., Ullman, S.: Shifts in selective visual attention: towards the underlying neural circuitry. In: Matters of Intelligence, pp. 115\u2013141. Springer, Netherlands (1987)","DOI":"10.1007\/978-94-009-3833-5_5"},{"issue":"10","key":"18_CR16","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":"18_CR17","doi-asserted-by":"crossref","unstructured":"Achanta, R., Hemami, S., Estrada, F., et al.: Frequency-tuned salient region detection. In: CVPR 2009, IEEE Conference on Computer Vision and Pattern Recognition 2009, pp. 1597\u20131604. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"18_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-3-642-33712-3_3","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Y Wei","year":"2012","unstructured":"Wei, Y., Wen, F., Zhu, W., Sun, J.: Geodesic saliency using background priors. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7574, pp. 29\u201342. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33712-3_3"},{"issue":"7","key":"18_CR19","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1167\/8.7.32","volume":"8","author":"L Zhang","year":"2008","unstructured":"Zhang, L., Tong, M.H., Marks, T.K., et al.: SUN: a Bayesian framework for saliency using natural statistics. J. Vis. 8(7), 32 (2008)","journal-title":"J. Vis."},{"issue":"3","key":"18_CR20","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1109\/TPAMI.2014.2345401","volume":"37","author":"MM Cheng","year":"2015","unstructured":"Cheng, M.M., Mitra, N.J., Huang, X., et al.: Global contrast based salient region detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 569\u2013582 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"18_CR21","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1109\/34.730558","volume":"20","author":"L Itti","year":"1998","unstructured":"Itti, L., Koch, C., Niebur, E.: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 20(11), 1254\u20131259 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"18_CR22","doi-asserted-by":"crossref","first-page":"1639","DOI":"10.1109\/TIP.2015.2403241","volume":"24","author":"J Sun","year":"2015","unstructured":"Sun, J., Lu, H., Liu, X.: Saliency region detection based on Markov absorption probabilities. IEEE Trans. Image Process. 24(5), 1639\u20131649 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"18_CR23","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. IEEE (2007)","DOI":"10.1109\/CVPR.2007.383267"},{"key":"18_CR24","doi-asserted-by":"crossref","unstructured":"Yan, Q., Xu, L., Shi, J., et al.: Hierarchical saliency detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1155\u20131162 (2013)","DOI":"10.1109\/CVPR.2013.153"},{"key":"18_CR25","doi-asserted-by":"crossref","unstructured":"Margolin, R., Tal, A., Zelnik-Manor, L.: What makes a patch distinct? In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1139\u20131146 (2013)","DOI":"10.1109\/CVPR.2013.151"},{"issue":"9","key":"18_CR26","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.1109\/LSP.2014.2323407","volume":"21","author":"N Tong","year":"2014","unstructured":"Tong, N., Lu, H., Zhang, L., et al.: Saliency detection with multi-scale superpixels. IEEE Sig. Process. Lett. 21(9), 1035\u20131039 (2014)","journal-title":"IEEE Sig. Process. Lett."},{"key":"18_CR27","doi-asserted-by":"crossref","unstructured":"Cheng, M.M., Warrell, J., Lin, W.Y., et al.: Efficient salient region detection with soft image abstraction. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1529\u20131536 (2013)","DOI":"10.1109\/ICCV.2013.193"},{"key":"18_CR28","doi-asserted-by":"crossref","unstructured":"Li, X., Lu, H., Zhang, L., et al.: Saliency detection via dense and sparse reconstruction. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2976\u20132983 (2013)","DOI":"10.1109\/ICCV.2013.370"},{"key":"18_CR29","doi-asserted-by":"crossref","unstructured":"Grinstead, C.M., Snell, J.L.: Introduction to Probability. American Mathematical Society, London (2012)","DOI":"10.1090\/stml\/057"},{"key":"18_CR30","doi-asserted-by":"crossref","unstructured":"Alpert, S., Galun, M., Basri, R., Brandt, A.: Image segmentation by probabilistic bottom-up aggregation and cue integration. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2007)","DOI":"10.1109\/CVPR.2007.383017"},{"key":"18_CR31","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Kr\u00e4henb\u00fchl, P., Pritch, Y., et al.: Saliency filters: contrast based filtering for salient region detection. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 733\u2013740. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"18_CR32","doi-asserted-by":"crossref","unstructured":"Chang, K.Y., Liu, T.L., Chen, H.T., et al.: Fusing generic objectness and visual saliency for salient object detection. In: 2011 International Conference on Computer Vision, pp. 914\u2013921. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126333"}],"container-title":["Lecture Notes in Electrical Engineering","Information Science and Applications 2017"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-4154-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T13:46:10Z","timestamp":1692711970000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-4154-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811041532","9789811041549"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-4154-9_18","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2017]]}}}