{"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,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Institute of Electrical and Electronics Engineers, Inc.","msr_publisher_other":"","msr_booktitle":"ICME","msr_chapter":"","msr_edition":"ICME","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"\u00a9 2004 IEEE. Personal use of this material is permitted. However, permission to reprint\/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.","msr_conference_name":"ICME","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Li Zuo, Hua 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