000078274 001__ 78274 000078274 005__ 20200113145614.0 000078274 0247_ $$2doi$$a10.1109/TVCG.2018.2793599 000078274 0248_ $$2sideral$$a105423 000078274 037__ $$aART-2018-105423 000078274 041__ $$aeng 000078274 100__ $$aSitzmann, V. 000078274 245__ $$aSaliency in VR: How do people explore virtual environments? 000078274 260__ $$c2018 000078274 5060_ $$aAccess copy available to the general public$$fUnrestricted 000078274 5203_ $$aUnderstanding how people explore immersive virtual environments is crucial for many applications, such as designing virtual reality (VR) content, developing new compression algorithms, or learning computational models of saliency or visual attention. Whereas a body of recent work has focused on modeling saliency in desktop viewing conditions, VR is very different from these conditions in that viewing behavior is governed by stereoscopic vision and by the complex interaction of head orientation, gaze, and other kinematic constraints. To further our understanding of viewing behavior and saliency in VR, we capture and analyze gaze and head orientation data of 169 users exploring stereoscopic, static omni-directional panoramas, for a total of 1980 head and gaze trajectories for three different viewing conditions. We provide a thorough analysis of our data, which leads to several important insights, such as the existence of a particular fixation bias, which we then use to adapt existing saliency predictors to immersive VR conditions. In addition, we explore other applications of our data and analysis, including automatic alignment of VR video cuts, panorama thumbnails, panorama video synopsis, and saliency-basedcompression. 000078274 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-79710-P 000078274 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000078274 590__ $$a3.78$$b2018 000078274 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b11 / 107 = 0.103$$c2018$$dQ1$$eT1 000078274 592__ $$a0.957$$b2018 000078274 593__ $$aComputer Graphics and Computer-Aided Design$$c2018$$dQ1 000078274 593__ $$aSoftware$$c2018$$dQ1 000078274 593__ $$aSignal Processing$$c2018$$dQ1 000078274 593__ $$aComputer Vision and Pattern Recognition$$c2018$$dQ1 000078274 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000078274 700__ $$0(orcid)0000-0002-7796-3177$$aSerrano, A.$$uUniversidad de Zaragoza 000078274 700__ $$aPavel, A. 000078274 700__ $$aAgrawala, M. 000078274 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, D.$$uUniversidad de Zaragoza 000078274 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, B.$$uUniversidad de Zaragoza 000078274 700__ $$aWetzstein, G. 000078274 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000078274 773__ $$g24, 4 (2018), 1633-1642$$pIEEE trans. vis. comput. graph.$$tIEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS$$x1077-2626 000078274 8564_ $$s8367324$$uhttps://zaguan.unizar.es/record/78274/files/texto_completo.pdf$$yPostprint 000078274 8564_ $$s120151$$uhttps://zaguan.unizar.es/record/78274/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000078274 909CO $$ooai:zaguan.unizar.es:78274$$particulos$$pdriver 000078274 951__ $$a2020-01-13-14:52:37 000078274 980__ $$aARTICLE