{"title":"一种新的运动矢量恢复算法用于视频传输中的错误隐藏","authors":"Bo Yan, Kam-Wing Ng","doi":"10.1109/CCNC.2004.1286934","DOIUrl":null,"url":null,"abstract":"Error concealment is an effective method to combat channel errors for video transmission. In video coding, motion vectors (MVs) are highly significant for the matching of the missing video block. Thus, how to recover the lost MV is an important issue for error concealment in video communications. Concerning the high block loss ratio (BLR) during video transmission and the matching of edge blocks in video frames, we proposed a selective motion vector matching (SMVM) algorithm for MV recovery. It incorporates the status flags of the neighboring pixels of the missing block and constructs new MV sets for block matching. Experimental results show that it significantly outperforms other existing MV recovery methods for error concealment at different BLRs.","PeriodicalId":316094,"journal":{"name":"First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A novel motion vector recovery algorithm for error concealment in video transmission\",\"authors\":\"Bo Yan, Kam-Wing Ng\",\"doi\":\"10.1109/CCNC.2004.1286934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Error concealment is an effective method to combat channel errors for video transmission. In video coding, motion vectors (MVs) are highly significant for the matching of the missing video block. Thus, how to recover the lost MV is an important issue for error concealment in video communications. Concerning the high block loss ratio (BLR) during video transmission and the matching of edge blocks in video frames, we proposed a selective motion vector matching (SMVM) algorithm for MV recovery. It incorporates the status flags of the neighboring pixels of the missing block and constructs new MV sets for block matching. Experimental results show that it significantly outperforms other existing MV recovery methods for error concealment at different BLRs.\",\"PeriodicalId\":316094,\"journal\":{\"name\":\"First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004.\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2004.1286934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2004.1286934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel motion vector recovery algorithm for error concealment in video transmission
Error concealment is an effective method to combat channel errors for video transmission. In video coding, motion vectors (MVs) are highly significant for the matching of the missing video block. Thus, how to recover the lost MV is an important issue for error concealment in video communications. Concerning the high block loss ratio (BLR) during video transmission and the matching of edge blocks in video frames, we proposed a selective motion vector matching (SMVM) algorithm for MV recovery. It incorporates the status flags of the neighboring pixels of the missing block and constructs new MV sets for block matching. Experimental results show that it significantly outperforms other existing MV recovery methods for error concealment at different BLRs.
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