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

2013 Fourth International Conference on the Network of the Future (NoF) Pub Date : 2013-10-01 DOI:10.1109/NOF.2013.6724519

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}

引用次数: 0

摘要

高清(HD)视频是当今视频需求的标准选择。高清视频的特点是数据速率高，但它可以使用H.264进行压缩，并通过802.11无线网络传输。然而，这种网络容易丢包，从而导致感知视频质量下降。因此，执行错误隐藏是很重要的。空间运动矢量恢复是一种关键的错误隐藏技术。本文提出了一种新的空间运动矢量恢复技术，称为加权最近邻有效运动矢量平均(WNVMVA)，该技术使用正确解码的运动矢量来估计丢失的运动矢量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2013 Fourth International Conference on the Network of the Future (NoF)

自引率

0.00%

发文量