A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video

Rumana Aktar, K. Palaniappan, J. Uhlmann
{"title":"A Method for Online Interpolation of Packet-Loss Blocks in Streaming Video","authors":"Rumana Aktar, K. Palaniappan, J. Uhlmann","doi":"10.1109/AIPR47015.2019.9174590","DOIUrl":null,"url":null,"abstract":"In this paper we examine and apply a linear-time matrix transformation for online interpolation of missing data blocks in frames of a streaming video sequence. We show that the resulting algorithm produces interpolated pixels that are sufficiently consistent within the context of a single frame that the missing block/tile is typically unnoticed by a viewer of the video sequence. Given the strenuous time constraints imposed by streaming video, this is essentially the only standard of performance that can be applied.","PeriodicalId":167075,"journal":{"name":"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR47015.2019.9174590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

In this paper we examine and apply a linear-time matrix transformation for online interpolation of missing data blocks in frames of a streaming video sequence. We show that the resulting algorithm produces interpolated pixels that are sufficiently consistent within the context of a single frame that the missing block/tile is typically unnoticed by a viewer of the video sequence. Given the strenuous time constraints imposed by streaming video, this is essentially the only standard of performance that can be applied.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
流媒体视频中丢包块的在线插值方法
本文研究并应用线性时间矩阵变换对流视频序列帧中缺失数据块进行在线插值。我们表明,所得到的算法产生的插值像素在单个帧的上下文中是足够一致的,因此缺失的块/块通常不会被视频序列的观看者注意到。考虑到流媒体视频所施加的严格时间限制,这基本上是唯一可以应用的性能标准。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier Improving Industrial Safety Gear Detection through Re-ID conditioned Detector Internet of Things Anomaly Detection using Machine Learning Evaluation of Generative Adversarial Network Performance Based on Direct Analysis of Generated Images GLSNet: Global and Local Streams Network for 3D Point Cloud Classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1