Weighted nearest valid motion vector averaging for spatial motion vector recovery in wireless HD video transmission using H.264 over WLANs

Kevin Gatimu, Ben Lee, Tae-Wook Lee, Chang-Gone Kim, Jone-Keun Shin
{"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}
引用次数: 0

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.
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
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。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信