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dc.contributor.authorCalagari, Kiana
dc.contributor.authorTemplin, Krzysztof
dc.contributor.authorElgamal, Tarek
dc.contributor.authorDiab, Khaled
dc.contributor.authorDidyk, Piotr
dc.contributor.authorMatusik, Wojciech
dc.contributor.authorHefeeda, Mohamed
dc.date.accessioned2017-12-08T20:31:35Z
dc.date.available2017-12-08T20:31:35Z
dc.date.issued2014-11
dc.identifier.isbn978-1-4503-3063-3
dc.identifier.urihttp://hdl.handle.net/1721.1/112664
dc.description.abstractProducing high-quality stereoscopic 3D content requires significantly more effort than preparing regular video footage. In order to assure good depth perception and visual comfort, 3D videos need to be carefully adjusted to specific viewing conditions before they are shown to viewers. While most stereoscopic 3D content is designed for viewing in movie theaters, where viewing conditions do not vary significantly, adapting the same content for viewing on home TV-sets, desktop displays, laptops, and mobile devices requires additional adjustments. To address this challenge, we propose a new system for 3D video streaming that provides automatic depth adjustments as one of its key features. Our system takes into account both the content and the display type in order to customize 3D videos and maximize their perceived quality. We propose a novel method for depth adjustment that is well-suited for videos of field sports such as soccer, football, and tennis. Our method is computationally efficient and it does not introduce any visual artifacts. We have implemented our 3D streaming system and conducted two user studies, which show: (i) adapting stereoscopic 3D videos for different displays is beneficial, and (ii) our proposed system can achieve up to 35% improvement in the perceived quality of the stereoscopic 3D content.en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2647868.2654899en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT Web Domainen_US
dc.titleAnahita: A System for 3D Video Streaming with Depth Customizationen_US
dc.typeArticleen_US
dc.identifier.citationCalagari, Kiana, Krzysztof Templin, Tarek Elgamal, Khaled Diab, Piotr Didyk, Wojciech Matusik, and Mohamed Hefeeda. “Anahita.” Proceedings of the ACM International Conference on Multimedia - MM ’14 (2014). ACM Press, 2014, pp. 337–46.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorTemplin, Krzysztof
dc.contributor.mitauthorDidyk, Piotr
dc.contributor.mitauthorMatusik, Wojciech
dc.relation.journalProceedings of the ACM International Conference on Multimedia - MM '14en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsCalagari, Kiana; Templin, Krzysztof; Elgamal, Tarek; Diab, Khaled; Didyk, Piotr; Matusik, Wojciech; Hefeeda, Mohameden_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-0212-5643
mit.licenseOPEN_ACCESS_POLICYen_US


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