{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T16:58:14Z","timestamp":1783789094063,"version":"3.55.0"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Signal Processing"],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1016\/j.sigpro.2020.107586","type":"journal-article","created":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T12:52:42Z","timestamp":1584363162000},"page":"107586","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":15,"special_numbering":"C","title":["Latitude and binocular perception based blind stereoscopic omnidirectional image quality assessment for VR system"],"prefix":"10.1016","volume":"173","author":[{"given":"Yingying","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/2.zoppoz.workers.dev:443\/https\/orcid.org\/0000-0003-4896-9876","authenticated-orcid":false,"given":"Gangyi","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mei","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yubin","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.sigpro.2020.107586_bib0001","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/MNET.2018.1700268","article-title":"Toward low-latency and ultra-reliable virtual reality","volume":"32","author":"Elbamby","year":"2018","journal-title":"IEEE Netw."},{"issue":"4","key":"10.1016\/j.sigpro.2020.107586_bib0002","doi-asserted-by":"crossref","first-page":"1646","DOI":"10.1109\/TIP.2018.2880509","article-title":"VRSA Net: VR sickness assessment considering exceptional motion for 360\u00b0 VR video","volume":"28","author":"Kim","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.sigpro.2020.107586_bib0003","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.sigpro.2018.01.004","article-title":"Recent advances in omnidirectional video coding for virtual reality: projection and evaluation","volume":"146","author":"Chen","year":"2018","journal-title":"Signal Process."},{"key":"10.1016\/j.sigpro.2020.107586_bib0004","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.image.2019.02.013","article-title":"Robust global and local color matching in stereoscopic omnidirectional content","volume":"74","author":"Dudek","year":"2019","journal-title":"Signal Process. Image Commun"},{"key":"10.1016\/j.sigpro.2020.107586_bib0005","unstructured":"ISO\/IEC 23090-2, Information technology - Coded representation of immersive media (MPEG-I) Part 2: Omnidirectional Media Format (OMAF)2018."},{"key":"10.1016\/j.sigpro.2020.107586_bib0006","unstructured":"Z. Chen, J. Xu, C. Lin, W. Zhou, Stereoscopic omnidirectional image quality assessment based on predictive coding theory, arXiv:1906.05165v1."},{"key":"10.1016\/j.sigpro.2020.107586_bib0007","doi-asserted-by":"crossref","first-page":"38669","DOI":"10.1109\/ACCESS.2018.2854922","article-title":"3D panoramic virtual reality video quality assessment based on 3D convolutional neural networks","volume":"6","author":"Yang","year":"2018","journal-title":"IEEE Access"},{"key":"10.1016\/j.sigpro.2020.107586_bib0008","series-title":"IEEE International Symposium on Mixed and Augmented Reality","article-title":"A framework to evaluate omnidirectional video coding schemes","author":"Yu","year":"2015"},{"key":"10.1016\/j.sigpro.2020.107586_bib0009","series-title":"Proceedings of SPIE","first-page":"99700C","article-title":"Quality metric for spherical panoramic video","author":"Zakharchenko","year":"2016"},{"issue":"9","key":"10.1016\/j.sigpro.2020.107586_bib0010","first-page":"1408","article-title":"Weighted-to-spherically-uniform quality evaluation for omnidirectional video","volume":"24","author":"Sun","year":"2017","journal-title":"IEEE Signal Process. Lett."},{"key":"10.1016\/j.sigpro.2020.107586_bib0011","series-title":"IEEE International Conference on Signal Processing","article-title":"Weighted-to-spherically-uniform SSIM objective quality evaluation for panoramic video","author":"Zhou","year":"2018"},{"key":"10.1016\/j.sigpro.2020.107586_bib0012","series-title":"IEEE International Conference on Multimedia and Expo","article-title":"Spherical structural similarity index for objective omnidirectional video quality assessment","author":"Chen","year":"2018"},{"key":"10.1016\/j.sigpro.2020.107586_bib0013","unstructured":"H. Kim, H. Lim, Y. Ro, Deep virtual reality image quality assessment with human perception guider for omnidirectional image, IEEE Trans. Circuits Syst. Video Technol., DOI 10.1109\/TCSVT.2019.2898732."},{"key":"10.1016\/j.sigpro.2020.107586_bib0014","series-title":"Proceedings of the 26th ACM International Conference on Multimedia","article-title":"Bridge the gap between VQA and human behavior on omnidirectional video: a large-scale dataset and a deep learning model","author":"Li","year":"2018"},{"issue":"11","key":"10.1016\/j.sigpro.2020.107586_bib0015","doi-asserted-by":"crossref","first-page":"3400","DOI":"10.1109\/TIP.2015.2446942","article-title":"Quality prediction of asymmetrically distorted stereoscopic 3D images","volume":"24","author":"Wang","year":"2015","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.sigpro.2020.107586_bib0016","first-page":"1375","article-title":"Wearable vision assistance system based on binocular sensors for visually impaired users","volume":"6","author":"Jiang","year":"2019","journal-title":"IEEE Int. Things J."},{"issue":"10","key":"10.1016\/j.sigpro.2020.107586_bib0017","doi-asserted-by":"crossref","first-page":"2616","DOI":"10.1109\/TMM.2019.2907470","article-title":"Adaptive cyclopean image based stereoscopic image quality assessment using ensemble learning","volume":"21","author":"Li","year":"2019","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.sigpro.2020.107586_bib0018","first-page":"1","article-title":"Sparse representation based stereoscopic image quality assessment accounting for perceptual cognitive process","author":"Yang","year":"2018","journal-title":"Inform. Sci."},{"key":"10.1016\/j.sigpro.2020.107586_bib0019","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.image.2018.03.009","article-title":"Joint binocular energy-contrast perception for quality assessment of stereoscopic images","volume":"65","author":"Ma","year":"2018","journal-title":"Signal Process. Image Commun."},{"issue":"12","key":"10.1016\/j.sigpro.2020.107586_bib0020","doi-asserted-by":"crossref","first-page":"5892","DOI":"10.1109\/TIP.2018.2860279","article-title":"Estimating depth-salient edges and its application to stereoscopic image quality assessment","volume":"27","author":"Khan","year":"2018","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.sigpro.2020.107586_bib0021","first-page":"287","article-title":"Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment","volume":"58","author":"Liu","year":"2017"},{"issue":"5","key":"10.1016\/j.sigpro.2020.107586_bib0022","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1049\/iet-ipr.2017.0650","article-title":"Perceptual stereoscopic image quality assessment method with tensor decomposition and manifold learning","volume":"12","author":"Jiang","year":"2018","journal-title":"IET Image Process."},{"key":"10.1016\/j.sigpro.2020.107586_bib0023","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.jvcir.2017.04.010","article-title":"Stereoscopic image quality assessment by learning non-negative matrix factorization-based color visual characteristics and considering binocular interactions","volume":"46","author":"Jiang","year":"2017","journal-title":"J. Visual Commun. Image Represent."},{"issue":"1","key":"10.1016\/j.sigpro.2020.107586_bib0024","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/TCYB.2018.2864158","article-title":"A deep evaluator for image retargeting quality by geometrical and contextual interaction","volume":"50","author":"Jiang","year":"2020","journal-title":"IEEE Trans. Cybern."},{"key":"10.1016\/j.sigpro.2020.107586_bib0025","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1016\/j.image.2016.07.003","article-title":"No-reference stereoscopic image quality assessment using binocular self-similarity and deep neural network","volume":"47","author":"Lv","year":"2016","journal-title":"Signal Process. Image Commun."},{"key":"10.1016\/j.sigpro.2020.107586_bib0026","series-title":"IEEE International Conference on Image Processing, IEEE","article-title":"SDSP: a novel saliency detection method by combining simple priors","author":"Zhang","year":"2013"},{"issue":"5","key":"10.1016\/j.sigpro.2020.107586_bib0027","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1109\/TPAMI.2015.2473844","article-title":"Exploiting surroundedness for saliency detection: a boolean map approach","volume":"38","author":"Zhang","year":"2016","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"10.1016\/j.sigpro.2020.107586_bib0028","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1109\/TPAMI.2009.155","article-title":"WLD: a robust local image descriptor","volume":"32","author":"Chen","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"10.1016\/j.sigpro.2020.107586_bib0029","doi-asserted-by":"crossref","first-page":"R22","DOI":"10.1016\/j.cub.2011.11.048","article-title":"Binocular vision: the eyes add and subtract","volume":"22","author":"Kingdom","year":"2012","journal-title":"Curr. Biol."},{"issue":"2009","key":"10.1016\/j.sigpro.2020.107586_bib0030","doi-asserted-by":"crossref","first-page":"S65","DOI":"10.1186\/1471-2105-10-S1-S65","article-title":"A random forest approach to the detection of epistatic interactions in case-control studies","author":"Jiang","year":"2009","journal-title":"BMC Bioinform."},{"key":"10.1016\/j.sigpro.2020.107586_bib0031","unstructured":"ITU-T Recommendation P. 910, Subjective video quality assessment methods for multimedia applications, 2008."},{"key":"10.1016\/j.sigpro.2020.107586_bib0032","unstructured":"ITU-R BT. 500-13, Methodology for the subjective assessment of the quality of television pictures, 2012."},{"issue":"4","key":"10.1016\/j.sigpro.2020.107586_bib0033","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.sigpro.2020.107586_bib0034","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1109\/TIP.2005.859378","article-title":"Image information and visual quality","volume":"15","author":"Sheikh","year":"2006","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"10.1016\/j.sigpro.2020.107586_bib0035","doi-asserted-by":"crossref","first-page":"684","DOI":"10.1109\/TIP.2013.2293423","article-title":"Gradient magnitude similarity deviation: a highly efficient perceptual image quality index","volume":"23","author":"Xue","year":"2014","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"10.1016\/j.sigpro.2020.107586_bib0036","first-page":"1113","article-title":"Manifold feature similarity based perceptual image quality assessment","volume":"42","author":"Wang","year":"2016","journal-title":"Acta Autom. Sin."},{"key":"10.1016\/j.sigpro.2020.107586_bib0037","series-title":"IEEE International Conference on Image Processing, IEEE","article-title":"RFSIM: a feature based image quality assessment metric using Riesz transforms","author":"Zhang","year":"2010"},{"issue":"12","key":"10.1016\/j.sigpro.2020.107586_bib0038","doi-asserted-by":"crossref","first-page":"3350","DOI":"10.1109\/TIP.2011.2147325","article-title":"Blind image quality assessment: From natural scene statistics to perceptual quality","volume":"20","author":"Moorthy","year":"2012","journal-title":"IEEE Trans. Image Process."},{"issue":"8","key":"10.1016\/j.sigpro.2020.107586_bib0039","doi-asserted-by":"crossref","first-page":"3339","DOI":"10.1109\/TIP.2012.2191563","article-title":"Blind image quality assessment: A natural scene statistics approach in the DCT Domain","volume":"21","author":"Saad","year":"2012","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"10.1016\/j.sigpro.2020.107586_bib0040","doi-asserted-by":"crossref","first-page":"4695","DOI":"10.1109\/TIP.2012.2214050","article-title":"No-reference image quality assessment in the spatial domain","volume":"21","author":"Mittal","year":"2012","journal-title":"IEEE Trans. Image Process."}],"container-title":["Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0165168420301298?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S0165168420301298?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:49:31Z","timestamp":1759034971000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S0165168420301298"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":40,"alternative-id":["S0165168420301298"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.sigpro.2020.107586","relation":{},"ISSN":["0165-1684"],"issn-type":[{"value":"0165-1684","type":"print"}],"subject":[],"published":{"date-parts":[[2020,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Latitude and binocular perception based blind stereoscopic omnidirectional image quality assessment for VR system","name":"articletitle","label":"Article Title"},{"value":"Signal Processing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/j.sigpro.2020.107586","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107586"}}