{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T04:12:41Z","timestamp":1692331961302},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,4,21]],"date-time":"2016-04-21T00:00:00Z","timestamp":1461196800000},"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":["Cogn Comput"],"published-print":{"date-parts":[[2016,8]]},"DOI":"10.1007\/s12559-016-9406-8","type":"journal-article","created":{"date-parts":[[2016,4,21]],"date-time":"2016-04-21T09:47:17Z","timestamp":1461232037000},"page":"693-702","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A Novel Saliency Prediction Method Based on Fast Radial Symmetry Transform and Its Generalization"],"prefix":"10.1007","volume":"8","author":[{"given":"Jiayu","family":"Liang","sequence":"first","affiliation":[]},{"given":"Shiu Yin","family":"Yuen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,4,21]]},"reference":[{"key":"9406_CR1","doi-asserted-by":"crossref","first-page":"2194","DOI":"10.1016\/j.patcog.2006.04.018","volume":"39","author":"MT L\u00f3pez","year":"2006","unstructured":"L\u00f3pez MT, Fern\u00e1ndez-Caballero A, Fern\u00e1ndez MA, Mira J, Delgado AE. Visual surveillance by dynamic visual attention method. Pattern Reconit. 2006;39:2194\u2013211.","journal-title":"Pattern Reconit"},{"issue":"1","key":"9406_CR2","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1109\/TAMD.2010.2096505","volume":"3","author":"M Begum","year":"2011","unstructured":"Begum M, Karray F. Visual attention for robotic cognition: a survey. IEEE Trans Auton Ment Dev. 2011;3(1):92\u2013105.","journal-title":"IEEE Trans Auton Ment Dev"},{"issue":"1","key":"9406_CR3","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1007\/s12559-012-9150-7","volume":"5","author":"P Harding","year":"2013","unstructured":"Harding P, Robertson NM. Visual saliency from image features with application to compression. Cognit Comput. 2013;5(1):76\u201398.","journal-title":"Cognit Comput"},{"key":"9406_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.imavis.2010.07.001","volume":"29","author":"Z Li","year":"2011","unstructured":"Li Z, Qin S, Itti L. Visual attention guided bit allocation in video compression. Image Vis Comput. 2011;29:1\u201314.","journal-title":"Image Vis Comput"},{"issue":"11","key":"9406_CR5","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. 1998;20(11):1254\u20139.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"5","key":"9406_CR6","doi-asserted-by":"crossref","first-page":"802","DOI":"10.1109\/TPAMI.2006.86","volume":"28","author":"O Meur Le","year":"2006","unstructured":"Le Meur O, Le Callet P, Barba D, Thoreau D. A coherent computational approach to model bottom-up visual attention. IEEE Trans Pattern Anal Mach Intell. 2006;28(5):802\u201317.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9406_CR7","doi-asserted-by":"crossref","unstructured":"Liang J, Yuen SY. Edge detection with automatic scale selection approach to improve coherent visual attention model. In: IAPR international conference on machine vision applications; 2013.","DOI":"10.1016\/j.patrec.2013.06.004"},{"key":"9406_CR8","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s12559-010-9089-5","volume":"3","author":"G Kootstra","year":"2011","unstructured":"Kootstra G, de Boer B, Schomaker LRB. Predicting eye fixations on complex visual stimuli using local symmetry. Cognit Comput. 2011;3:223\u201340.","journal-title":"Cognit Comput"},{"key":"9406_CR9","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1007\/BF01418978","volume":"14","author":"D Reisfeld","year":"1995","unstructured":"Reisfeld D, Wolfson H, Yeshurun Y. Context-free attentional operators: the generalized symmetry transform. Int J Comput Vis. 1995;14:119\u201330.","journal-title":"Int J Comput Vis"},{"issue":"7","key":"9406_CR10","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1109\/TPAMI.2004.29","volume":"26","author":"G Heidemann","year":"2004","unstructured":"Heidemann G. Focus-of-attention from local color symmetries. IEEE Trans Pattern Anal Mach Intell. 2004;26(7):817\u201330.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9406_CR11","doi-asserted-by":"crossref","unstructured":"Judd T, Ehinger K, Durand F, Torralba A. Learning to predict where humans look. In: Proceedings of international conference on computer vision; 2009.","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"9406_CR12","doi-asserted-by":"crossref","unstructured":"Zhang J, Sclaroff S. Saliency detection: a boolean map approach. In: IEEE international conference on computer vision (ICCV); 2013. p. 153\u201360.","DOI":"10.1109\/ICCV.2013.26"},{"issue":"3","key":"9406_CR13","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1037\/0033-295X.114.3.599","volume":"114","author":"L Huang","year":"2007","unstructured":"Huang L, Pashler H. A boolean map theory of visual attention. Psychol Rev. 2007;114(3):599.","journal-title":"Psychol Rev"},{"issue":"1","key":"9406_CR14","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s12559-013-9220-5","volume":"6","author":"J T\u00fcnnermann","year":"2014","unstructured":"T\u00fcnnermann J, Mertsching B. Region-based artificial visual attention in space and time. Cognit Comput. 2014;6(1):125\u201343.","journal-title":"Cognit Comput"},{"issue":"4","key":"9406_CR15","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. 2013;13(4):11.","journal-title":"J Vis"},{"issue":"1","key":"9406_CR16","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/s12559-012-9146-3","volume":"5","author":"S Marat","year":"2013","unstructured":"Marat S, Rahman A, Pellerin D, Guyader N, Houzet D. Improving visual saliency by adding \u2018face feature map\u2019 and \u2018center bias\u2019. Cognit Comput. 2013;5(1):63\u201375.","journal-title":"Cognit Comput"},{"key":"9406_CR17","unstructured":"Cerf M, Harel J, Einhauser W, Koch C. Predicting human gaze using low-level saliency combined with face detection. In: Platt JC, Koller D, Singer Y, Roweis ST, editors. Advances in neural information processing systems. MIT Press; 2007."},{"issue":"4","key":"9406_CR18","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1007\/s12559-014-9266-z","volume":"6","author":"J Zhao","year":"2014","unstructured":"Zhao J, Sun S, Liu X, Sun J, Yang A. A novel biologically inspired visual saliency model. Cognit Comput. 2014;6(4):841\u20138.","journal-title":"Cognit Comput"},{"issue":"13","key":"9406_CR19","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1016\/j.visres.2004.12.021","volume":"45","author":"O Hershler","year":"2005","unstructured":"Hershler O, Hochstein S. At first sight: a high-level pop out effect for faces. Vis Res. 2005;45(13):1707\u201324.","journal-title":"Vis Res"},{"issue":"18","key":"9406_CR20","doi-asserted-by":"crossref","first-page":"3017","DOI":"10.1016\/j.visres.2005.07.009","volume":"46","author":"R Van Rullen","year":"2006","unstructured":"Van Rullen R. On second glance: still no high-level pop-out effect for faces. Vis Res. 2006;46(18):3017\u201327.","journal-title":"Vis Res"},{"issue":"4","key":"9406_CR21","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1037\/0096-1523.4.4.691","volume":"4","author":"SE Palmer","year":"1978","unstructured":"Palmer SE, Hemenway K. Orientation and symmetry: effects of multiple, rotational, and near symmetries. J Exp Psychol Hum Percept Perform. 1978;4(4):691\u2013702.","journal-title":"J Exp Psychol Hum Percept Perform"},{"issue":"2","key":"9406_CR22","doi-asserted-by":"crossref","first-page":"85","DOI":"10.3758\/BF03210527","volume":"5","author":"L Kaufman","year":"1969","unstructured":"Kaufman L, Richards W. Spontaneous fixation tendencies for visual forms. Percept Psychophys. 1969;5(2):85\u20138.","journal-title":"Percept Psychophys"},{"issue":"1","key":"9406_CR23","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1097\/01.wnr.0000194390.97160.84","volume":"17","author":"X Zhou","year":"2006","unstructured":"Zhou X, Chu H, Li X, Zhan Y. Center of mass attracts attention. Neuroreport. 2006;17(1):85\u20138.","journal-title":"Neuroreport"},{"key":"9406_CR24","volume-title":"A proto-object based visual attention model. Attention in cognitive systems. Theories and systems from an interdisciplinary viewpoint","author":"F Orabona","year":"2008","unstructured":"Orabona F, Metta G, Sandini G. A proto-object based visual attention model. Attention in cognitive systems. Theories and systems from an interdisciplinary viewpoint. Berlin: Springer; 2008."},{"key":"9406_CR25","doi-asserted-by":"crossref","unstructured":"Sun Y. Hierarchical object-based visual attention for machine vision. Ph.D. Thesis. School of Informatics, University of Edinburgh; 2003.","DOI":"10.1016\/S0004-3702(02)00399-5"},{"issue":"2","key":"9406_CR26","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1167\/9.2.7","volume":"9","author":"M Bindemann","year":"2009","unstructured":"Bindemann M, Scheepers C, Burton AM. Viewpoint and center of gravity affect eye movements to human faces. J Vis. 2009;9(2):7.","journal-title":"J Vis"},{"issue":"2","key":"9406_CR27","doi-asserted-by":"crossref","first-page":"499","DOI":"10.2466\/pms.1972.34.2.499","volume":"34","author":"S Coren","year":"1972","unstructured":"Coren S, Hoenig P. Effect of non-target stimuli upon length of voluntary saccades. Percept Mot Skills. 1972;34(2):499\u2013508.","journal-title":"Percept Mot Skills"},{"key":"9406_CR28","volume-title":"Eye movements: cognition and visual perception","author":"JM Findlay","year":"1981","unstructured":"Findlay JM. Local and global influences on saccadic eye movements. In: Fisher DE, Monty RA, Senders JW, editors. Eye movements: cognition and visual perception. Hillsdale: Lawrence Erlbaum; 1981."},{"issue":"8","key":"9406_CR29","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1016\/0042-6989(82)90040-2","volume":"22","author":"JM Findlay","year":"1982","unstructured":"Findlay JM. Global visual processing for saccadic eye movements. Vis Res. 1982;22(8):1033\u201345.","journal-title":"Vis Res"},{"issue":"9","key":"9406_CR30","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1068\/p261159","volume":"26","author":"JM Findlay","year":"1997","unstructured":"Findlay JM, Gilchrist ID. Spatial scale and saccade programming. Perception. 1997;26(9):1159\u201367.","journal-title":"Perception"},{"issue":"9","key":"9406_CR31","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1016\/0042-6989(89)90063-1","volume":"29","author":"PY He","year":"1989","unstructured":"He PY, Kowler E. The role of location probability in the programming of saccades: implications for \u201ccenter-of-gravity\u201d tendencies. Vis Res. 1989;29(9):1165\u201381.","journal-title":"Vis Res"},{"key":"9406_CR32","doi-asserted-by":"crossref","unstructured":"Harel J, Koch C, Perona P. Graph-based visual saliency. In: Advances in neural information processing systems; 2006. p. 545\u201352.","DOI":"10.7551\/mitpress\/7503.003.0073"},{"issue":"10","key":"9406_CR33","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. 2012;34(10):1915\u201326.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9406_CR34","first-page":"155","volume":"18","author":"NDB Bruce","year":"2006","unstructured":"Bruce NDB, Tsotsos JK. Saliency based on information maximization. Adv Neural Inf Process Syst. 2006;18:155\u201362.","journal-title":"Adv Neural Inf Process Syst"},{"key":"9406_CR35","doi-asserted-by":"crossref","unstructured":"Rahtu E, Kannala J, Salo M, Heikkil\u00e4 J. Segmenting salient objects from images and videos. In: Computer Vision\u2013ECCV 2010. Springer, Berlin, Heidelberg; 2010. p. 366\u201379.","DOI":"10.1007\/978-3-642-15555-0_27"},{"issue":"7","key":"9406_CR36","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, Marks T, Shan H, Cottrell G. SUN: a Bayesian framework for saliency using natural statistics. J Vis. 2008;8(7):32.","journal-title":"J Vis"},{"key":"9406_CR37","doi-asserted-by":"crossref","unstructured":"Hou X, Zhang L. Saliency detection: a spectral residual approach. In: IEEE conference on computer vision and pattern recognition (CVPR); 2007.","DOI":"10.1109\/CVPR.2007.383267"},{"key":"9406_CR38","doi-asserted-by":"crossref","unstructured":"Achanta R, Hemami S, Estrada F, Susstrunk S. Frequency-tuned salient region detection. In: IEEE conference on computer vision and pattern recognition. Miami, FL; 2009. p. 1597\u2013604.","DOI":"10.1109\/CVPR.2009.5206596"},{"key":"9406_CR39","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/BFb0014894","volume":"427","author":"SY Yuen","year":"1990","unstructured":"Yuen SY. Shape from contour using symmetries. Lect Notes Comput Sci. 1990;427:437\u201353.","journal-title":"Lect Notes Comput Sci"},{"issue":"8","key":"9406_CR40","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1109\/TPAMI.2003.1217601","volume":"25","author":"G Loy","year":"2003","unstructured":"Loy G, Zelinsky A. Fast radial symmetry for detecting points of interest. IEEE Trans Pattern Anal Mach Intell. 2003;25(8):959\u201373.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9406_CR41","unstructured":"Ni J, Singh MK, Bahlmann C. Fast radial symmetry detection under affine transformations. In: Mortensen E, editor. Computer vision and pattern recognition (CVPR); 2012."},{"key":"9406_CR42","doi-asserted-by":"crossref","unstructured":"Le Meur O, Castellan X, Le Callet P, Barba D. Efficient saliency-based repurposing method. In: IEEE international conference on image processing; 2006. p. 421\u201324.","DOI":"10.1109\/ICIP.2006.312483"},{"key":"9406_CR43","unstructured":"Loy G. Computer vision to see people: a basis for enhanced human computer interaction. Ph.D. thesis, Department of Systems Engineering, Aust Natl Univ; 2003."},{"issue":"1","key":"9406_CR44","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1109\/TPAMI.2012.89","volume":"35","author":"A Borji","year":"2013","unstructured":"Borji A, Itti L. State-of-the-art in visual attention modeling. IEEE Trans Pattern Anal Mach Intell. 2013;35(1):185\u2013207.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"9406_CR45","doi-asserted-by":"crossref","unstructured":"Gao D, Vasconcelos N. Bottom-up saliency is a discriminant process. In: IEEE 11th international conference on computer vision (ICCV); 2007.","DOI":"10.1109\/ICCV.2007.4408851"},{"key":"9406_CR46","doi-asserted-by":"crossref","unstructured":"Kienzle W, Wichmann FA, Franz MO, Sch\u00f6lkopf B. A nonparametric approach to bottom-up visual saliency. In: Advances in neural information processing systems; 2006. p. 689\u201396.","DOI":"10.7551\/mitpress\/7503.003.0091"},{"issue":"1","key":"9406_CR47","doi-asserted-by":"crossref","first-page":"251","DOI":"10.3758\/s13428-012-0226-9","volume":"45","author":"O Meur Le","year":"2012","unstructured":"Le Meur O, Baccino T. Methods for comparing scanpaths and saliency maps: strengths and weaknesses. Behav Res Methods. 2012;45(1):251\u201366.","journal-title":"Behav Res Methods"},{"issue":"3","key":"9406_CR48","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1167\/11.3.9","volume":"11","author":"Q Zhao","year":"2011","unstructured":"Zhao Q, Koch C. Learning a saliency map using fixated locations in natural scenes. J Vis. 2011;11(3):9.","journal-title":"J Vis"},{"issue":"4","key":"9406_CR49","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1109\/TPAMI.2012.147","volume":"35","author":"J Li","year":"2013","unstructured":"Li J, Levine MD, An X, Xu X, He H. Visual saliency based on scale-space analysis in the frequency domain. IEEE Trans Pattern Anal Mach Intell. 2013;35(4):996\u20131010.","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"9406_CR50","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TIP.2012.2210727","volume":"22","author":"A Borji","year":"2013","unstructured":"Borji A, Sihite DN, Itti L. Quantitative analysis of human-model agreement in visual saliency modeling: a comparative study. IEEE Trans Image Process. 2013;22(1):55\u201369.","journal-title":"IEEE Trans Image Process"},{"key":"9406_CR51","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1023\/A:1014585622703","volume":"47","author":"C Sun","year":"2002","unstructured":"Sun C. Fast stereo matching using rectangular subregioning and 3D Maximum-surface techniques. Int J Comput Vis. 2002;47:99\u2013117.","journal-title":"Int J Comput Vis"},{"key":"9406_CR52","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1016\/S0262-8856(03)00137-9","volume":"21","author":"B Zitova","year":"2003","unstructured":"Zitova B, Flusser J. Image registration methods: a survey. Image Vis Comput. 2003;21:977\u20131000.","journal-title":"Image Vis Comput"},{"issue":"13","key":"9406_CR53","doi-asserted-by":"crossref","first-page":"1519","DOI":"10.1016\/j.patrec.2013.06.004","volume":"34","author":"J Liang","year":"2013","unstructured":"Liang J, Yuen SY. An edge detection with automatic scale selection approach to improve coherent visual attention model. Pattern Recognit Lett. 2013;34(13):1519\u201324.","journal-title":"Pattern Recognit Lett"},{"issue":"1","key":"9406_CR54","doi-asserted-by":"crossref","first-page":"13","DOI":"10.5565\/rev\/elcvia.66","volume":"3","author":"N Ouerhani","year":"2004","unstructured":"Ouerhani N, Von Wartburg R, H\u00fcgli H, M\u00fcri R. Empirical validation of the saliency-based model of visual attention. Electro Lett Comput Vis Image Anal. 2004;3(1):13\u201324.","journal-title":"Electro Lett Comput Vis Image Anal"},{"issue":"19","key":"9406_CR55","doi-asserted-by":"crossref","first-page":"2483","DOI":"10.1016\/j.visres.2007.06.015","volume":"47","author":"O Meur Le","year":"2007","unstructured":"Le Meur O, Le Callet P, Barba D. Predicting visual fixations on video based on low-level visual features. Vis Res. 2007;47(19):2483\u201398.","journal-title":"Vis Res"},{"key":"9406_CR56","unstructured":"Mancas M. Computational attention modelisation and application to audio and image processing. Ph.D. thesis ; 2007."},{"issue":"4","key":"9406_CR57","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1109\/TIP.2008.917218","volume":"17","author":"U Rajashekar","year":"2008","unstructured":"Rajashekar U, Van Der Linde I, Bovik AC, Cormack LK. GAFFE: a gaze-attentive fixation finding engine. IEEE Trans Image Process. 2008;17(4):564\u201373.","journal-title":"IEEE Trans Image Process"},{"key":"9406_CR58","doi-asserted-by":"crossref","unstructured":"Pele O, Werman M. Fast and robust earth mover\u2019s distances. In: IEEE 12th international conference on computer vision; 2009. p. 460\u201367.","DOI":"10.1109\/ICCV.2009.5459199"},{"key":"9406_CR59","unstructured":"Judd T, Durand F, Torralba A. A benchmark of computational models of saliency to predict human fixations. MIT technical report; 2012"},{"key":"9406_CR60","doi-asserted-by":"crossref","unstructured":"Riche N, Duvinage M, Mancas M, Gosselin B, Dutoit T. Saliency and human fixations: state-of-the-art and study of comparison metrics. In: IEEE international conference on computer vision (ICCV); 2013.","DOI":"10.1109\/ICCV.2013.147"}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-016-9406-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12559-016-9406-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-016-9406-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T18:39:29Z","timestamp":1692297569000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12559-016-9406-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4,21]]},"references-count":60,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,8]]}},"alternative-id":["9406"],"URL":"https:\/\/doi.org\/10.1007\/s12559-016-9406-8","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"value":"1866-9956","type":"print"},{"value":"1866-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4,21]]}}}