基于MV-HEVC和3D-HEVC技术的自适应立体视频流机制

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media) Pub Date : 2019-08-01 DOI:10.1109/Ubi-Media.2019.00035

Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai

{"title":"基于MV-HEVC和3D-HEVC技术的自适应立体视频流机制","authors":"Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai","doi":"10.1109/Ubi-Media.2019.00035","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.","PeriodicalId":259542,"journal":{"name":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Adaptive Stereoscopic Video Streaming Mechanism Using MV-HEVC and 3D-HEVC Technologies\",\"authors\":\"Tz-Heng Hsu, Po-Hui Wu, G. Horng, Chao-Chun Chen, Mao-Yuan Pai\",\"doi\":\"10.1109/Ubi-Media.2019.00035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.\",\"PeriodicalId\":259542,\"journal\":{\"name\":\"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/Ubi-Media.2019.00035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Ubi-Media.2019.00035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文提出了一种基于MV-HEVC和3D-HEVC技术的自适应立体视频流机制。当当前可用带宽不足以传输所有视频层时，该机制使用所提出的速率控制算法选择当前播放点附近的MV-HEVC和3D-HEVC视频图像。仿真结果表明，所提出的自适应流传输机制能够在无线网络环境下提供可容忍的丢包视频质量。

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

An Adaptive Stereoscopic Video Streaming Mechanism Using MV-HEVC and 3D-HEVC Technologies

In this paper, we propose an adaptive stereoscopic video streaming mechanism using MV-HEVC and 3D-HEVC technologies. When the current available bandwidth is insufficient for delivering all video layers, the mechanism selects the MV-HEVC and 3D-HEVC video pictures near the current playing point with the proposed rate control algorithm. Simulation results show that the proposed adaptive streaming mechanism can provide tolerable video quality under packet loss conditions in wireless networking environment.

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

2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media)

自引率

0.00%

发文量

期刊最新文献

Target-Monitoring Learning Companion Design DeepBonds: A Deep Learning Approach to Predicting United States Treasury Yield Clinically Applicable Deep Learning for Diagnosis of Diabetic Retinopathy Markerless Indoor/Outdoor Augmented Reality Navigation Device Based on ORB-Visual-Odometry Positioning Estimation and Wall-Floor-Boundary Image Registration [Copyright notice]