{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T01:32:39Z","timestamp":1772674359340,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030618636","type":"print"},{"value":"9783030618643","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-61864-3_3","type":"book-chapter","created":{"date-parts":[[2020,10,17]],"date-time":"2020-10-17T03:32:49Z","timestamp":1602905569000},"page":"24-32","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality"],"prefix":"10.1007","author":[{"given":"Ping","family":"Lu","sequence":"first","affiliation":[]},{"given":"Fang","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Pin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jinman","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Sheng","sequence":"additional","affiliation":[]},{"given":"Lijuan","family":"Mao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,18]]},"reference":[{"issue":"1","key":"3_CR1","doi-asserted-by":"publisher","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. 35(1), 185\u2013207 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Hoppe, H.: Progressive meshes. In: International Conference on Computer Graphics and Interactive Techniques, pp. 99\u2013108 (1996)","DOI":"10.1145\/237170.237216"},{"issue":"5","key":"3_CR3","doi-asserted-by":"publisher","first-page":"2002","DOI":"10.1109\/TVCG.2019.2899187","volume":"25","author":"Z Hu","year":"2019","unstructured":"Hu, Z., Zhang, C., Li, S., Wang, G., Manocha, D.: SGaze: a data-driven eye-head coordination model for realtime gaze prediction. IEEE Trans. Vis. Comput. Graph. 25(5), 2002\u20132010 (2019)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"11","key":"3_CR4","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."},{"issue":"9","key":"3_CR5","doi-asserted-by":"publisher","first-page":"1806","DOI":"10.1109\/TSMC.2018.2850149","volume":"49","author":"A Kamel","year":"2019","unstructured":"Kamel, A., Sheng, B., Yang, P., Li, P., Shen, R., Feng, D.D.: Deep convolutional neural networks for human action recognition using depth maps and postures. IEEE Trans. Syst. Man Cybern. Syst. 49(9), 1806\u20131819 (2019)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"3_CR6","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.ijinfomgt.2018.03.004","volume":"45","author":"A Karambakhsh","year":"2019","unstructured":"Karambakhsh, A., Kamel, A., Sheng, B., Li, P., Yang, P., Feng, D.D.: Deep gesture interaction for augmented anatomy learning. Int. J. Inform. Manag. 45, 328\u2013336 (2019)","journal-title":"Int. J. Inform. Manag."},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Low, K., Tan, T.: Model simplification using vertex-clustering. In: Interactive 3d Graphics and Games, pp. 75\u201382 (1997)","DOI":"10.1145\/253284.253310"},{"issue":"21","key":"3_CR8","doi-asserted-by":"publisher","first-page":"9697","DOI":"10.1007\/s11042-014-2146-4","volume":"74","author":"P Lu","year":"2014","unstructured":"Lu, P., Sheng, B., Luo, S., Jia, X., Wu, W.: Image-based non-photorealistic rendering for realtime virtual sculpting. Multimedia Tools Appl. 74(21), 9697\u20139714 (2014). \nhttps:\/\/doi.org\/10.1007\/s11042-014-2146-4","journal-title":"Multimedia Tools Appl."},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"106699","DOI":"10.1016\/j.compeleceng.2020.106699","volume":"85","author":"X Meng","year":"2020","unstructured":"Meng, X., et al.: A video information driven football recommendation system. Comput. Electr. Eng. 85, 106699 (2020)","journal-title":"Comput. Electr. Eng."},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Pan, J., Sayrol, E., Giroinieto, X., Mcguinness, K., Oconnor, N.E.: Shallow and deep convolutional networks for saliency prediction. In: Computer Vision and Pattern Recognition, pp. 598\u2013606 (2016)","DOI":"10.1109\/CVPR.2016.71"},{"issue":"4","key":"3_CR11","doi-asserted-by":"publisher","first-page":"1633","DOI":"10.1109\/TVCG.2018.2793599","volume":"24","author":"V Sitzmann","year":"2018","unstructured":"Sitzmann, V., et al.: Saliency in vr: how do people explore virtual environments. IEEE Trans. Vis. Comput. Graph. 24(4), 1633\u20131642 (2018)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"3_CR12","doi-asserted-by":"crossref","unstructured":"Sheng, B., Li, P., Zhang, Y., Mao, L.: Greensea: visual soccer analysis using broad learning system. IEEE Trans. Cybern., pp. 1\u201315, May 2020","DOI":"10.1109\/TCYB.2020.2988792"},{"key":"3_CR13","doi-asserted-by":"crossref","unstructured":"Xu, Y., et al.: Gaze prediction in dynamic 360 immersive videos. In: Computer Vision and Pattern Recognition, pp. 5333\u20135342 (2018)","DOI":"10.1109\/CVPR.2018.00559"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Yarbus, A.: Eye Movements and Vision. New York (1967)","DOI":"10.1007\/978-1-4899-5379-7"},{"issue":"1","key":"3_CR15","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1111\/j.1749-6632.1981.tb30899.x","volume":"374","author":"WH Zangemeister","year":"1981","unstructured":"Zangemeister, W.H., Stark, L.: Active head rotations and eye-head coordination. Ann. N.Y. Acad. Sci. 374(1), 540\u2013559 (1981)","journal-title":"Ann. N.Y. Acad. Sci."},{"issue":"15","key":"3_CR16","doi-asserted-by":"publisher","first-page":"18935","DOI":"10.1007\/s11042-017-5316-3","volume":"77","author":"P Zhang","year":"2017","unstructured":"Zhang, P., Zheng, L., Jiang, Y., Mao, L., Li, Z., Sheng, B.: Tracking soccer players using spatio-temporal context learning under multiple views. Multimedia Tools Appl. 77(15), 18935\u201318955 (2017). \nhttps:\/\/doi.org\/10.1007\/s11042-017-5316-3","journal-title":"Multimedia Tools Appl."}],"container-title":["Lecture Notes in Computer Science","Advances in Computer Graphics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61864-3_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,17]],"date-time":"2020-10-17T03:33:04Z","timestamp":1602905584000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-61864-3_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030618636","9783030618643"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61864-3_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"18 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CGI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Computer Graphics International Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Geneva","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Switzerland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cgi2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cgs-network.org\/cgi20\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}