{"id":152033,"date":"2006-07-01T00:00:00","date_gmt":"2006-07-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/multicast-of-real-time-multi-view-video\/"},"modified":"2018-10-16T20:00:21","modified_gmt":"2018-10-17T03:00:21","slug":"multicast-of-real-time-multi-view-video","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/multicast-of-real-time-multi-view-video\/","title":{"rendered":"Multicast Of Real-time Multi-view Video"},"content":{"rendered":"<div class=\"asset-content\">\n<p>As a recently emerging service, multi-view video provides a new viewing experience with high degree of freedom. However, due to the huge data amounts transferred, multi-view video\u2019s delivery remains a daunting challenge. In this paper, we propose a multi-view video-streaming system based on IP multicast. It can support a large number of users while still keeping a high degree of interactivity and low bandwidth consumption. Based on a careful user study, we have developed two schemes: one is for automatic delivery and the other for on-demand delivery. In automatic delivery, a server periodically multicasts special effect snapshots at a certain time interval. In on-demand delivery, the server delivers the snapshots based on distribution of users\u2019 requests. We conducted extensive experiments and user-experience studies to evaluate the proposed system\u2019s performance, and found that the system could provide satisfying multiview video service for users on a large scale.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As a recently emerging service, multi-view video provides a new viewing experience with high degree of freedom. However, due to the huge data amounts transferred, multi-view video\u2019s delivery remains a daunting challenge. In this paper, we propose a multi-view video-streaming system based on IP multicast. It can support a large number of users while still [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13561],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-152033","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-algorithms","msr-locale-en_us"],"msr_publishername":"Institute of Electrical and Electronics Engineers, 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