{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:18:06Z","timestamp":1785421086260,"version":"3.56.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319685472","type":"print"},{"value":"9783319685489","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-68548-9_18","type":"book-chapter","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T13:05:13Z","timestamp":1507813513000},"page":"191-201","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploiting Visual Saliency Algorithms for Object-Based Attention: A New Color and Scale-Based Approach"],"prefix":"10.1007","author":[{"given":"Edoardo","family":"Ardizzone","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandro","family":"Bruno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Gugliuzza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,10,13]]},"reference":[{"key":"18_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-05642-5","volume-title":"Visual Saliency Computation: A Machine Learning Perspective","author":"J Li","year":"2014","unstructured":"Li, J., Gao, W.: Visual Saliency Computation: A Machine Learning Perspective, vol. 8408. Springer, Heidelberg (2014)"},{"key":"18_CR2","volume-title":"Basic Vision: An Introduction to Visual Perception","author":"R Snowden","year":"2012","unstructured":"Snowden, R., Snowden, R.J., Thompson, P., Troscianko, T.: Basic Vision: An Introduction to Visual Perception. Oxford University Press, Oxford (2012)"},{"issue":"1","key":"18_CR3","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1146\/annurev.psych.48.1.269","volume":"48","author":"HE Egeth","year":"1997","unstructured":"Egeth, H.E., Yantis, S.: Visual attention: control, representation, and time course. Annu. Rev. Psychol. 48(1), 269\u2013297 (1997)","journal-title":"Annu. Rev. Psychol."},{"issue":"40","key":"18_CR4","doi-asserted-by":"publisher","first-page":"10056","DOI":"10.1523\/JNEUROSCI.1776-08.2008","volume":"28","author":"SL Bressler","year":"2008","unstructured":"Bressler, S.L., Tang, W., Sylvester, C.M., Shulman, G.L., Corbetta, M.: Top-down control of human visual cortex by frontal and parietal cortex in anticipatory visual spatial attention. J. Neurosci. 28(40), 10056\u201310061 (2008)","journal-title":"J. Neurosci."},{"issue":"1","key":"18_CR5","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1080\/00335558008248231","volume":"32","author":"MI Posner","year":"1980","unstructured":"Posner, M.I.: Orienting of attention. Q. J. Exp. Psychol. 32(1), 3\u201325 (1980)","journal-title":"Q. J. Exp. Psychol."},{"issue":"11","key":"18_CR6","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. IEEE Trans. Pattern Anal. Mach. Intell. 20(11), 1254\u20131259 (1998)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"18_CR7","unstructured":"Harel, J., Koch, C., Perona, P., et al.: Graph-based visual saliency. In: NIPS, vol. 1, p. 5 (2006)"},{"key":"18_CR8","doi-asserted-by":"crossref","unstructured":"Luo, J.: Subject content-based intelligent cropping of digital photos. In: 2007 IEEE International Conference on Multimedia and Expo, pp. 2218\u20132221. IEEE (2007)","DOI":"10.1109\/ICME.2007.4285126"},{"issue":"1","key":"18_CR9","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.compedu.2011.07.012","volume":"58","author":"MJ Tsai","year":"2012","unstructured":"Tsai, M.J., Hou, H.T., Lai, M.L., Liu, W.Y., Yang, F.Y.: Visual attention for solving multiple-choice science problem: an eye-tracking analysis. Comput. Educ. 58(1), 375\u2013385 (2012)","journal-title":"Comput. Educ."},{"key":"18_CR10","unstructured":"http:\/\/www.cvl.isy.liu.se\/research\/objrec\/posedb\/"},{"key":"18_CR11","doi-asserted-by":"crossref","unstructured":"Judd, T., Ehinger, K., Durand, F., Torralba, A.: Learning to predict where humans look. In: 2009 IEEE 12th International Conference on Computer Vision, pp. 2106\u20132113. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"18_CR12","series-title":"Synthese Library (Studies in Epistemology, Logic, Methodology, and Philosophy of Science)","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/978-94-009-3833-5_5","volume-title":"Matters of Intelligence","author":"C Koch","year":"1987","unstructured":"Koch, C., Ullman, S.: Shifts in selective visual attention: towards the underlying neural circuitry. In: Vaina, L.M. (ed.) Matters of Intelligence. Synthese Library (Studies in Epistemology, Logic, Methodology, and Philosophy of Science), pp. 115\u2013141. Springer, Dordrecht (1987). doi:10.1007\/978-94-009-3833-5_5"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Wang, L., Dong, S.L., Li, H.S., Zhu, X.B.: A brief survey of low-level saliency detection. In: 2016 International Conference on Information System and Artificial Intelligence (ISAI), pp. 590\u2013593. IEEE (2016)","DOI":"10.1109\/ISAI.2016.0130"},{"issue":"1","key":"18_CR14","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1007\/s11042-014-2314-6","volume":"75","author":"L Sun","year":"2016","unstructured":"Sun, L., Tang, Y., Zhang, H.: Visual saliency detection based on multi-scale and multi-channel mean. Multimedia Tools Appl. 75(1), 667\u2013684 (2016)","journal-title":"Multimedia Tools Appl."},{"key":"18_CR15","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1007\/978-3-642-24085-0_70","volume-title":"Image Analysis and Processing \u2013 ICIAP 2011","author":"E Ardizzone","year":"2011","unstructured":"Ardizzone, E., Bruno, A., Mazzola, G.: Visual saliency by keypoints distribution analysis. In: Maino, G., Foresti, G.L. (eds.) ICIAP 2011. LNCS, vol. 6978, pp. 691\u2013699. Springer, Heidelberg (2011). doi:10.1007\/978-3-642-24085-0_70"},{"issue":"16","key":"18_CR16","doi-asserted-by":"publisher","first-page":"2071","DOI":"10.1016\/j.patrec.2013.06.018","volume":"34","author":"E Ardizzone","year":"2013","unstructured":"Ardizzone, E., Bruno, A., Mazzola, G.: Scale detection via keypoint density maps in regular or near-regular textures. Pattern Recogn. Lett. 34(16), 2071\u20132078 (2013)","journal-title":"Pattern Recogn. Lett."},{"key":"18_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1007\/978-3-642-41181-6_78","volume-title":"Image Analysis and Processing \u2013 ICIAP 2013","author":"E Ardizzone","year":"2013","unstructured":"Ardizzone, E., Bruno, A., Mazzola, G.: Saliency based image cropping. In: Petrosino, A. (ed.) ICIAP 2013. LNCS, vol. 8156, pp. 773\u2013782. Springer, Heidelberg (2013). doi:10.1007\/978-3-642-41181-6_78"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Sundstedt, V., Chalmers, A., Cater, K., Debattista, K.: Top-down visual attention for efficient rendering of task related scenes. In: VMV, pp. 209\u2013216 (2004)","DOI":"10.1145\/1012551.1012596"},{"issue":"3","key":"18_CR19","doi-asserted-by":"publisher","first-page":"576","DOI":"10.1109\/TPAMI.2016.2547384","volume":"39","author":"J Yang","year":"2017","unstructured":"Yang, J., Yang, M.H.: Top-down visual saliency via joint CRF and dictionary learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(3), 576\u2013588 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"18_CR20","doi-asserted-by":"publisher","first-page":"6201","DOI":"10.4249\/scholarpedia.6201","volume":"6","author":"JK Tsotsos","year":"2011","unstructured":"Tsotsos, J.K., Rothenstein, A.: Computational models of visual attention. Scholarpedia 6(1), 6201 (2011)","journal-title":"Scholarpedia"},{"issue":"4","key":"18_CR21","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/s00530-003-0105-4","volume":"9","author":"LQ Chen","year":"2003","unstructured":"Chen, L.Q., Xie, X., Fan, X., Ma, W.Y., Zhang, H.J., Zhou, H.Q.: A visual attention model for adapting images on small displays. Multimedia Syst. 9(4), 353\u2013364 (2003)","journal-title":"Multimedia Syst."},{"key":"18_CR22","unstructured":"http:\/\/people.csail.mit.edu\/tjudd\/WherePeopleLook\/index.html"},{"issue":"2","key":"18_CR23","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1109\/TMM.2015.2505908","volume":"18","author":"JG Yu","year":"2016","unstructured":"Yu, J.G., Xia, G.S., Gao, C., Samal, A.: A computational model for object-based visual saliency: spreading attention along Gestalt cues. IEEE Trans. Multimedia 18(2), 273\u2013286 (2016)","journal-title":"IEEE Trans. Multimedia"},{"issue":"11","key":"18_CR24","doi-asserted-by":"publisher","first-page":"5012","DOI":"10.1109\/TIP.2016.2602079","volume":"25","author":"G Li","year":"2016","unstructured":"Li, G., Yu, Y.: Visual saliency detection based on multiscale deep CNN features. IEEE Trans. Image Process. 25(11), 5012\u20135024 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"11","key":"18_CR25","doi-asserted-by":"publisher","first-page":"2131","DOI":"10.1109\/TPAMI.2011.53","volume":"33","author":"A Toet","year":"2011","unstructured":"Toet, A.: Computational versus psychophysical bottom-up image saliency: a comparative evaluation study. IEEE Trans. Pattern Anal. Mach. Intell. 33(11), 2131\u20132146 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"6","key":"18_CR26","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1049\/iet-cvi.2012.0032","volume":"6","author":"K Duncan","year":"2012","unstructured":"Duncan, K., Sarkar, S.: Saliency in images and video: a brief survey. IET Comput. Vis. 6(6), 514\u2013523 (2012)","journal-title":"IET Comput. Vis."},{"key":"18_CR27","doi-asserted-by":"crossref","unstructured":"Viksten, F., Forss\u00e9n, P.E., Johansson, B., Moe, A.: Comparison of local image descriptors for full 6 degree-of-freedom pose estimation. In: IEEE International Conference on Robotics and Automation, ICRA 2009, pp. 2779\u20132786. IEEE (2009)","DOI":"10.1109\/ROBOT.2009.5152360"},{"key":"18_CR28","first-page":"1","volume":"49","author":"A Gibaldi","year":"2016","unstructured":"Gibaldi, A., Vanegas, M., Bex, P.J., Maiello, G.: Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research. Behav. Res. Methods 49, 1\u201324 (2016)","journal-title":"Behav. Res. Methods"},{"issue":"2","key":"18_CR29","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"issue":"6637","key":"18_CR30","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1038\/40398","volume":"388","author":"S Engel","year":"1997","unstructured":"Engel, S., Zhang, X., Wandell, B.: Colour tuning in human visual cortex measured with functional magnetic resonance imaging. Nature 388(6637), 68\u201371 (1997)","journal-title":"Nature"},{"key":"18_CR31","doi-asserted-by":"crossref","unstructured":"Sharma, G.: Color fundamentals for digital imaging. In: Digital Color Imaging Handbook. CRC Press (2002)","DOI":"10.1201\/9781420041484.ch1"},{"key":"18_CR32","unstructured":"http:\/\/www.vision.caltech.edu\/~harel\/share\/gbvs.php"},{"key":"18_CR33","unstructured":"Bylinskii, Z., Judd, T., Oliva, A., Torralba, A., Durand, F.: What do different evaluation metrics tell us about saliency models? arXiv preprint arXiv:1604.03605 (2016)"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68548-9_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T11:38:39Z","timestamp":1709811519000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-68548-9_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319685472","9783319685489"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68548-9_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"13 October 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Catania","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iciap2017.com","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"}]}}