{"id":151649,"date":"2004-05-01T00:00:00","date_gmt":"2004-05-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/weighted-motion-estimation-for-static-scene-transitions\/"},"modified":"2018-10-16T21:22:18","modified_gmt":"2018-10-17T04:22:18","slug":"weighted-motion-estimation-for-static-scene-transitions","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/weighted-motion-estimation-for-static-scene-transitions\/","title":{"rendered":"Weighted Motion Estimation for Static Scene Transitions"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Scene transition video has brought great challenges to current video coding methods because the traditional motion model of block displacement can not efficiently represent transition motion. This paper first analyzes the features of static transitions. By incorporating the information of transition filter into the coding scheme, the weighted motion estimation (WTME) technique is proposed to get accurate motion parameters of transition video, thereby efficiently compensating both normal and transition motions among frames. Experimental results show that the proposed technique can significantly improve the coding performance of H.264 up to 2.0dB while coding scene transition video.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scene transition video has brought great challenges to current video coding methods because the traditional motion model of block displacement can not efficiently represent transition motion. This paper first analyzes the features of static transitions. By incorporating the information of transition filter into the coding scheme, the weighted motion estimation (WTME) technique is proposed to [&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":"","msr_chapter":"","msr_edition":"","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":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"You Zhou, Hong 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