Kevin Gatimu, Ben Lee, Tae-Wook Lee, Chang-Gone Kim, Jone-Keun Shin
{"title":"基于H.264的无线高清视频传输空间运动矢量恢复加权最接近有效运动矢量平均","authors":"Kevin Gatimu, Ben Lee, Tae-Wook Lee, Chang-Gone Kim, Jone-Keun Shin","doi":"10.1109/NOF.2013.6724519","DOIUrl":null,"url":null,"abstract":"High definition (HD) video is the standard of choice for today's video demands. HD video is characterized by high data rates, but it can be compressed using H.264 and transmitted over 802.11 wireless networks. However, such networks are prone to packet losses, which result in degraded perceptual video quality. It is thus important to perform error concealment. Spatial motion vector recovery is a key error concealment technique. This paper proposes a new spatial motion vector recovery technique called Weighted Nearest Valid Motion Vector Averaging (WNVMVA), which uses properly decoded motion vectors to estimate lost ones.","PeriodicalId":143986,"journal":{"name":"2013 Fourth International Conference on the Network of the Future (NoF)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Weighted nearest valid motion vector averaging for spatial motion vector recovery in wireless HD video transmission using H.264 over WLANs\",\"authors\":\"Kevin Gatimu, Ben Lee, Tae-Wook Lee, Chang-Gone Kim, Jone-Keun Shin\",\"doi\":\"10.1109/NOF.2013.6724519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High definition (HD) video is the standard of choice for today's video demands. HD video is characterized by high data rates, but it can be compressed using H.264 and transmitted over 802.11 wireless networks. However, such networks are prone to packet losses, which result in degraded perceptual video quality. It is thus important to perform error concealment. Spatial motion vector recovery is a key error concealment technique. This paper proposes a new spatial motion vector recovery technique called Weighted Nearest Valid Motion Vector Averaging (WNVMVA), which uses properly decoded motion vectors to estimate lost ones.\",\"PeriodicalId\":143986,\"journal\":{\"name\":\"2013 Fourth International Conference on the Network of the Future (NoF)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Fourth International Conference on the Network of the Future (NoF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NOF.2013.6724519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth International Conference on the Network of the Future (NoF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NOF.2013.6724519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Weighted nearest valid motion vector averaging for spatial motion vector recovery in wireless HD video transmission using H.264 over WLANs
High definition (HD) video is the standard of choice for today's video demands. HD video is characterized by high data rates, but it can be compressed using H.264 and transmitted over 802.11 wireless networks. However, such networks are prone to packet losses, which result in degraded perceptual video quality. It is thus important to perform error concealment. Spatial motion vector recovery is a key error concealment technique. This paper proposes a new spatial motion vector recovery technique called Weighted Nearest Valid Motion Vector Averaging (WNVMVA), which uses properly decoded motion vectors to estimate lost ones.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
