{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T04:10:47Z","timestamp":1750911047994,"version":"3.41.0"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811064265"},{"type":"electronic","value":"9789811064272"}],"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\/978-981-10-6427-2_26","type":"book-chapter","created":{"date-parts":[[2017,9,23]],"date-time":"2017-09-23T10:32:16Z","timestamp":1506162736000},"page":"322-334","source":"Crossref","is-referenced-by-count":1,"title":["On Far End Saliency Detection of Images by Compressive Sensing"],"prefix":"10.1007","author":[{"given":"Susmita","family":"Ghosh","sequence":"first","affiliation":[]},{"given":"Ankita","family":"Pramanik","sequence":"additional","affiliation":[]},{"given":"Santi P.","family":"Maity","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,9,24]]},"reference":[{"key":"26_CR1","doi-asserted-by":"crossref","unstructured":"Perazzi, F., Kr\u00e4henb\u00fchl, P., Pritch, Y., Hornung, A.: Saliency filters: contrast based filtering for salient region detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 733\u2013740, June 2012","DOI":"10.1109\/CVPR.2012.6247743"},{"key":"26_CR2","doi-asserted-by":"crossref","unstructured":"He, K., Sun, J., Tang, X.: Guided image filtering. In: European Conference on Computer Vision (ECCV), pp. 1\u201314, September 2010","DOI":"10.1007\/978-3-642-15549-9_1"},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Achanta, R., S\u00fcsstrunk, S.: Saliency detection using maximum symmetric surround. In: IEEE International Conference on Image Processing (ICIP), pp. 2653\u20132656, September 2010","DOI":"10.1109\/ICIP.2010.5652636"},{"key":"26_CR4","doi-asserted-by":"crossref","unstructured":"Wang, W., Wang, Y., Huang, Q., Gao, W.: Measuring visual saliency by site entropy rate. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2368\u20132375, June 2010","DOI":"10.1109\/CVPR.2010.5539927"},{"key":"26_CR5","doi-asserted-by":"crossref","unstructured":"Srivatsa, R.S., Babu, R.V.: Salient object detection via objectness measure. In: IEEE International Conference on Image Processing (ICIP), pp. 4481\u20134485, September 2015","DOI":"10.1109\/ICIP.2015.7351654"},{"key":"26_CR6","doi-asserted-by":"crossref","unstructured":"Liu, Y., Cai, Q., Zhu, X., Cao, J., Li, H.: Saliency detection using two-stage scoring. In: IEEE International Conference on Image Processing (ICIP), pp. 4062\u20134066, September 2015","DOI":"10.1109\/ICIP.2015.7351569"},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Huang, Y., Zhang, J., Wei, Y.: Graph based image saliency detection. In: International Conference on Civil, Materials and Environmental Sciences (CMES), pp. 662\u2013666, March 2015","DOI":"10.2991\/cmes-15.2015.180"},{"key":"26_CR8","doi-asserted-by":"crossref","unstructured":"Jiang, B., Zhang, L., Lu, H., Yang, C., Yang, M.H.: Saliency detection via Absorbing Markov Chain. In: IEEE International Conference on Computer Vision, pp. 1665\u20131672, December 2013","DOI":"10.1109\/ICCV.2013.209"},{"issue":"2","key":"26_CR9","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1109\/TPAMI.2010.70","volume":"33","author":"T Liu","year":"2011","unstructured":"Liu, T., Yuan, Z., Sun, J., Wang, J., Zheng, N., Tang, X., Shum, H.Y.: Learning to detect a salient object. IEEE Trans. Pattern Anal. Mach. Intell. 33(2), 353\u2013367 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"26_CR10","doi-asserted-by":"crossref","unstructured":"Yang, J., Yang, M.-H.: Top-down visual saliency via joint CRF and dictionary learning. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2296\u20132303, June 2012","DOI":"10.1109\/CVPR.2012.6247940"},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"Li, X., Haupt, J.D.: Outlier identification via randomized adaptive compressive sampling. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3302\u20133306, April 2015","DOI":"10.1109\/ICASSP.2015.7178582"},{"issue":"1","key":"26_CR12","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1109\/TCSVT.2013.2273613","volume":"24","author":"Y Fang","year":"2014","unstructured":"Fang, Y., Lin, W., Chen, Z., Tsai, C.M., Lin, C.W.: A video saliency detection model in compressed domain. IEEE Trans. Circuits Syst. Video Technol. 24(1), 27\u201338 (2014)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"26_CR13","doi-asserted-by":"crossref","unstructured":"Li, X., Haupt, J.: Locating salient group-structured image features via adaptive compressive sensing. In: IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 393\u2013397, December 2015","DOI":"10.1109\/GlobalSIP.2015.7418224"},{"key":"26_CR14","doi-asserted-by":"crossref","unstructured":"Li, J., Meng, F., Zhang, Y.: Saliency detection using a background probability model. In: IEEE International Conference on Image Processing (ICIP), pp. 2189\u20132193, September 2015","DOI":"10.1109\/ICIP.2015.7351189"},{"key":"26_CR15","doi-asserted-by":"crossref","unstructured":"Yan, X., Wang, Y., Jiang, M., Wang, J.: Salient region detection via color spatial distribution determined global contrasts. In: IEEE International Conference on Image Processing (ICIP), pp. 1170\u20131174, October 2014","DOI":"10.1109\/ICIP.2014.7025233"},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Wang, P., Zhou, Z., Liu, W., Qiao, H.: Salient region detection based on local and global saliency. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 1546\u20131551, May 2014","DOI":"10.1109\/ICRA.2014.6907057"},{"key":"26_CR17","doi-asserted-by":"crossref","unstructured":"Hu, X., Yang, W., Zhou, F., Liao, Q.: Saliency detection based on integration of central bias, reweighting and multi-scale for superpixels. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1946\u20131950, March 2016","DOI":"10.1109\/ICASSP.2016.7472016"},{"key":"26_CR18","doi-asserted-by":"crossref","unstructured":"Bai, P., Cui, Z., Gan, Z., Tang, G., Liu, F.: A novel saliency detection model based on curvelet transform. In: International Conference on Wireless Communications & Signal Processing (WCSP), pp. 1\u20135, October 2016","DOI":"10.1109\/WCSP.2016.7752652"},{"issue":"2","key":"26_CR19","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.jvcir.2012.02.002","volume":"24","author":"S Schwartz","year":"2013","unstructured":"Schwartz, S., Wong, A., Clausi, D.A.: Saliency-guided compressive sensing approach to efficient laser range measurement. J. Vis. Commun. Image Represent. 24(2), 160\u2013170 (2013)","journal-title":"J. Vis. Commun. Image Represent."},{"issue":"11","key":"26_CR20","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1109\/LSP.2010.2080673","volume":"17","author":"Y Yu","year":"2010","unstructured":"Yu, Y., Wang, B., Zhang, L.: Saliency-based compressive sampling for image signals. IEEE Signal Process. Lett. 17(11), 973\u2013976 (2010)","journal-title":"IEEE Signal Process. Lett."},{"key":"26_CR21","doi-asserted-by":"crossref","unstructured":"Li, Y., Zhou, Y., Xu, L., Yang, X., Yang, J.: Incremental sparse saliency detection. In: IEEE International Conference on Image Processing (ICIP), pp. 3093\u20133096, November 2009","DOI":"10.1109\/ICIP.2009.5414465"},{"key":"26_CR22","doi-asserted-by":"crossref","unstructured":"Needell, D., Tropp, J.A., Vershynin, R.: Greedy signal recovery review. In: IEEE Asilomar Conference on Signals, Systems and Computers, pp. 1048\u20131050, October 2008","DOI":"10.1109\/ACSSC.2008.5074572"}],"container-title":["Communications in Computer and Information Science","Computational Intelligence, Communications, and Business Analytics"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-6427-2_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T21:42:37Z","timestamp":1750887757000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-6427-2_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9789811064265","9789811064272"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-6427-2_26","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}