{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T14:59:11Z","timestamp":1761663551735,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319464657"},{"type":"electronic","value":"9783319464664"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","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":[[2016]]},"DOI":"10.1007\/978-3-319-46466-4_35","type":"book-chapter","created":{"date-parts":[[2016,9,16]],"date-time":"2016-09-16T09:31:58Z","timestamp":1474018318000},"page":"583-598","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Pattern Mining Saliency"],"prefix":"10.1007","author":[{"given":"Yuqiu","family":"Kong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuping","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huchuan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Ruan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,17]]},"reference":[{"key":"35_CR1","unstructured":"Yang, L., Zheng, N., Yang, J., Chen, H.: A biased sampling strategy for object categorization. In: ICCV (2009)"},{"key":"35_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1007\/978-3-642-15555-0_27","volume-title":"Computer Vision \u2013 ECCV 2010","author":"E Rahtu","year":"2010","unstructured":"Rahtu, E., Kannala, J., Salo, M., Heikkil\u00e4, J.: Segmenting salient objects from images and videos. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 366\u2013379. Springer, Heidelberg (2010)"},{"key":"35_CR3","doi-asserted-by":"crossref","unstructured":"Mahadevan, V., Vasconcelos, N.: Saliency-based discriminant tracking. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206573"},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Goferman, S., Zelnik-Manor, L., Tal, A.: Context-aware saliency detection. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5539929"},{"key":"35_CR5","doi-asserted-by":"crossref","unstructured":"Jiang, H., Wang, J., Yuan, Z., Liu, T., Zheng, N., Li, S.: Automatic salient object segmentation based on context and shape prior. In: BMVC (2011)","DOI":"10.5244\/C.25.110"},{"key":"35_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","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, Part III. LNCS, vol. 7574, pp. 29\u201342. Springer, Heidelberg (2012)"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Li, X., Lu, H., Zhang, L., Ruan, X., Yang, M.H.: Saliency detection via dense and sparse reconstruction. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.370"},{"key":"35_CR8","doi-asserted-by":"crossref","unstructured":"Zhu, W., Liang, S., Wei, Y., Sun, J.: Saliency optimization from robust background detection. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.360"},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Tong, N., Lu, H., Ruan, X., Yang, M.H.: Salient object detection via bootstrap learning. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298798"},{"issue":"11","key":"35_CR10","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.: A model of saliency-based visual attention for rapid scene analysis. TPAMI 20(11), 1254\u20131259 (1998)","journal-title":"TPAMI"},{"key":"35_CR11","doi-asserted-by":"crossref","unstructured":"Liu, T., Sun, J., Zheng, N.N., Tang, X., Shum, H.Y.: Learning to detect a salient object. In: CVPR (2007)","DOI":"10.1109\/CVPR.2007.383047"},{"issue":"5","key":"35_CR12","first-page":"1689","volume":"22","author":"Y Xie","year":"2013","unstructured":"Xie, Y., Lu, H., Yang, M.H.: Bayesian saliency via low and mid level cues. TIP 22(5), 1689\u20131698 (2013)","journal-title":"TIP"},{"key":"35_CR13","unstructured":"Achanta, R., Hemami, S., Estrada, F., S\u00fcsstrunk, S.: Frequency-tuned salient region detection. In: CVPR (2012)"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Cheng, M., Zhang, G., Mitra, N.J., Huang, X.H., S.: Global contrast based salient region detection. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995344"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Klein, D.A., Frintrop, S.: Center-surround divergence of feature statistics for salient object detection. In: ICCV (2011)","DOI":"10.1109\/ICCV.2011.6126499"},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Yang, C., Zhang, L., Lu, H., Yang, M.: Saliency detection via graph-based manifold ranking. In: CVPR (2013)","DOI":"10.1109\/CVPR.2013.407"},{"issue":"12","key":"35_CR17","first-page":"3232","volume":"19","author":"V Gopalakrishnan","year":"2010","unstructured":"Gopalakrishnan, V., Hu, Y., Rajan, D.: Random walks on graphs for salient object detection in images. TIP 19(12), 3232\u20133242 (2010)","journal-title":"TIP"},{"key":"35_CR18","doi-asserted-by":"crossref","unstructured":"Jiang, H., Wang, J., Yuan, Z., Wu, Y., Zheng, N., Li, S.: Salient object detection: A discriminative regional feature integration approach. In: CVPR (2013)","DOI":"10.1109\/CVPR.2013.271"},{"key":"35_CR19","doi-asserted-by":"crossref","unstructured":"Kim, J., Han, D., Tai, Y.W., Kim, J.: Salient region detection via high-dimensional color transform. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.118"},{"key":"35_CR20","doi-asserted-by":"crossref","unstructured":"Lu, S., Mahadevan, V., Vasconcelos, N.: Learning optimal seeds for diffusion-based salient object detection. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.357"},{"key":"35_CR21","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: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298938"},{"key":"35_CR22","doi-asserted-by":"crossref","unstructured":"Li, N., Sun, B., Yu, J.: A weighted sparse coding framework for saliency detection. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7299158"},{"key":"35_CR23","unstructured":"Chang, K.Y., Liu, T.L., Chen, H.T., Lai, S.H.: Fusing generic objectness and visual saliency for salient object detection. In: ICCV (2011)"},{"key":"35_CR24","doi-asserted-by":"crossref","unstructured":"Jiang, B., Zhang, L., Lu, H., Yang, C., Yang, M.H.: Saliency detection via absorbing markov chain. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.209"},{"key":"35_CR25","unstructured":"Li, C., Yuan, Y., Cai, W., Xia, Y., Feng, D.D.: Robust saliency detection via regularized random walks ranking. In: CVPR (2015)"},{"key":"35_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1007\/978-3-642-33718-5_16","volume-title":"Computer Vision \u2013 ECCV 2012","author":"B Fernando","year":"2012","unstructured":"Fernando, B., Fromont, E., Tuytelaars, T.: Effective use of frequent itemset mining for image classification. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part I. LNCS, vol. 7572, pp. 214\u2013227. Springer, Heidelberg (2012)"},{"key":"35_CR27","doi-asserted-by":"crossref","unstructured":"Li, Y., Liu, L., Shen, C., van den Hengel, A.: Mid-level deep pattern mining. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298699"},{"key":"35_CR28","unstructured":"Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: VLDB (1994)"},{"key":"35_CR29","doi-asserted-by":"crossref","unstructured":"Movahedi, V., Elder, J.H.: Design and perceptual validation of performance measures for salient object segmentation. In: POCV, pp. 49\u201356 (2010)","DOI":"10.1109\/CVPRW.2010.5543739"},{"key":"35_CR30","doi-asserted-by":"crossref","unstructured":"Yan, Q., Xu, L., Shi, J., Jia, J.: Hierarchical saliency detection. In: CVPR (2013)","DOI":"10.1109\/CVPR.2013.153"},{"key":"35_CR31","doi-asserted-by":"crossref","unstructured":"Li, Y., Hou, X., Koch, C., Rehg, J., Yuille, A.: The secrets of salient object segmentation. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.43"},{"key":"35_CR32","unstructured":"Sch\u00f6lkopf, B., Platt, J., Hofmann, T.: Graph-based visual saliency. In: NIPS (2007)"},{"key":"35_CR33","unstructured":"Shen, X.S., Wu, Y.: A unified approach to salient object detection via low rank matrix recovery. In: CVPR (2012)"},{"key":"35_CR34","doi-asserted-by":"crossref","unstructured":"Jiang, P., Ling, H., Yu, J., Peng, J.: Salient region detection by ufo: Uniqueness, focusness and objectness. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.248"},{"issue":"1","key":"35_CR35","first-page":"62","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. SMC 9(1), 62\u201366 (1979)","journal-title":"SMC"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46466-4_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T01:31:35Z","timestamp":1602293495000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46466-4_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464657","9783319464664"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46466-4_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"17 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","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":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}