Proceedings of the 23rd Packet Video Workshop最新文献

An Evaluation of Video Quality Assessment Metrics for Passive Gaming Video Streaming 被动游戏视频流视频质量评价指标的研究

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210434

Nabajeet Barman, Steven Schmidt, Saman Zadtootaghaj, M. Martini, S. Möller

{"title":"An Evaluation of Video Quality Assessment Metrics for Passive Gaming Video Streaming","authors":"Nabajeet Barman, Steven Schmidt, Saman Zadtootaghaj, M. Martini, S. Möller","doi":"10.1145/3210424.3210434","DOIUrl":"https://doi.org/10.1145/3210424.3210434","url":null,"abstract":"Video Quality assessment is imperative to estimate and hence manage the Quality of Experience (QoE) in video streaming applications to the end-user. Recent years have seen a tremendous advancement in the field of objective video quality assessment (VQA) metrics, with the development of models that can predict the quality of the videos streamed over the Internet. However, no work so far has attempted to study the performance of such quality assessment metrics on gaming videos, which are artificial and synthetic and have different streaming requirements than traditionally streamed videos. Towards this end, we present in this paper a study of the performance of objective quality assessment metrics for gaming videos considering passive streaming applications. Objective quality assessment considering eight widely used VQA metrics is performed on a dataset of 24 reference videos and 576 compressed sequences obtained by encoding them at 24 different resolution-bitrate pairs. We present an evaluation of the performance behavior of the VQA metrics. Our results indicate that VMAF predicts subjective video quality ratings the best, while NIQE turns out to be a promising alternative as a no-reference metric in some scenarios.","PeriodicalId":395862,"journal":{"name":"Proceedings of the 23rd Packet Video Workshop","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115838430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 47

MUSLIN 棉布

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210432

Simon Da Silva, Joachim Bruneau-Queyreix, M. Lacaud, D. Négru, Laurent Réveillère

{"title":"MUSLIN","authors":"Simon Da Silva, Joachim Bruneau-Queyreix, M. Lacaud, D. Négru, Laurent Réveillère","doi":"10.1145/3210424.3210432","DOIUrl":"https://doi.org/10.1145/3210424.3210432","url":null,"abstract":"Delivering video content with a high and fairly shared quality of experience is a challenging task in view of the drastic video traffic increase forecasts. Currently, content delivery networks provide numerous servers hosting replicas of the video content, and consuming clients are re-directed to the closest server. Then, the video content is streamed using adaptive streaming solutions. However, some servers become overloaded, and clients may experience a poor or unfairly distributed quality of experience. In this paper we propose Muslin, a streaming solution supporting a high, fairly shared end-users quality of experience for live streaming. Muslin leverages on MS-Stream, a content delivery solution in which a client can simultaneously use several servers. Muslin dynamically provisions servers and replicates content into servers, and advertises servers to clients based on real-time delivery conditions. We have used Muslin to replay a one-day video-games event, with hundreds of clients and several test beds. Our results shows that our approach outperforms traditional content delivery schemes by increasing the fairness and quality of experience at the user side without requiring a greater underlying content delivery platform.","PeriodicalId":395862,"journal":{"name":"Proceedings of the 23rd Packet Video Workshop","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114572948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Bayesian Bandit Approach to Adaptive Delay-based Congestion Control 基于自适应延迟的拥塞控制贝叶斯班迪方法

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210430

Stefano D'aronco, P. Frossard

{"title":"A Bayesian Bandit Approach to Adaptive Delay-based Congestion Control","authors":"Stefano D'aronco, P. Frossard","doi":"10.1145/3210424.3210430","DOIUrl":"https://doi.org/10.1145/3210424.3210430","url":null,"abstract":"Adapting the transmission rate of video telephony Internet applications in order to guarantee the maximal communication quality is still an open and extremely challenging problem. The congestion control algorithm, which is the algorithm responsible for adjusting the transmission rate according to the network conditions, should typically be able to reach the largest possible rate, in order to achieve a high video quality, at the minimum possible delay, in order to guarantee a good interactivity. At the same time, it should also guarantee a fair share of the network resources when competing with other communication protocols, in particular loss-based congestion protocols. These two objectives actually conflict with each other: whereas, in order to achieve the largest rate with the minimum delay, the delay-based congestion control should be extremely sensitive to delay variations, it should also be ideally immune to delay variations to have perfect coexistence with loss-based protocols. In order to achieve this double objective we propose a learning-based adaptive controller that tunes the delay sensitivity of an underlying delay-based congestion control according to the estimated network conditions. We first define a simple low-dimensional model for the network response. We then formulate a bayesian bandit problem for the selection of the delay sensitivity of the congestion control algorithm. By solving the bandit problem using an optimal learning method we are able to maximize effectively the long term utility provided to the user. Finally, we provide simulation results to demonstrate the operation of the proposed method and its effective ability to adapt to different network scenarios in order to maximize the communication quality.","PeriodicalId":395862,"journal":{"name":"Proceedings of the 23rd Packet Video Workshop","volume":"281 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of YouTube regarding Content Provisioning for HTTP Adaptive Streaming YouTube关于HTTP自适应流媒体内容供应的调查

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210431

Armin Trattnig, C. Timmerer, Christopher Müller

引用次数: 4

Performance Assessment and Improvement of the Video Streaming Backend with Cloud Storage and On-the-Fly Format Conversion 基于云存储和动态格式转换的视频流后端性能评估与改进

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210433

R. Mekuria, Christina Kylili, Arjen Wagenaar, Dirk Griffioen

{"title":"Performance Assessment and Improvement of the Video Streaming Backend with Cloud Storage and On-the-Fly Format Conversion","authors":"R. Mekuria, Christina Kylili, Arjen Wagenaar, Dirk Griffioen","doi":"10.1145/3210424.3210433","DOIUrl":"https://doi.org/10.1145/3210424.3210433","url":null,"abstract":"Video Streaming service providers are dealing with increasingly large media asset content repositories. To store these in a flexible and persistent manner, cloud storage is often used. In addition the compute power available in the cloud is often used for on-the-fly format conversion such as dynamic packaging. This way, additional protocols, encryption schemes and formats can be supported from a single storage source. We present a study on the performance of this increasingly common video streaming setup and propose an improvement. We compare the efficiency of different storage formats used in the cloud storage such as fragmented MPEG-4 and MPEG-4 and compare local versus cloud based object storage. In addition we study the resulting traffic between the storage, compute and client nodes. Results show reduced traffic towards the client in the cloud storage based solution. Resulting traffic patterns hint that specific parts of the media assets are most relevant for the conversion at the compute node. Based on this we then introduce an improvement scheme that involves caching metadata files based on dynamically referenced MPEG-4 at the compute node. Experimental results show many benefits such as halving the request time (-50 percent for segment request, -90 percent for manifest requests), reduced number of calls to storage and improved throughput towards the client (+20 percent for fMP4, +100 percent for MP4). In addition, experiments showed player playback startup delay reduced up to 60%. Contrary to the initial setup, both MP4 and fMP4 based storage result in good streaming performance with this scheme, allowing both formats to be used in the storage backend.","PeriodicalId":395862,"journal":{"name":"Proceedings of the 23rd Packet Video Workshop","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127194642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Quickly Starting Media Streams Using QUIC 快速启动媒体流使用QUIC

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210426

Sevket Arisu, A. Begen

引用次数: 21

Guided Transcoding Using Deflation and Inflation 引导转码使用通货紧缩和通货膨胀

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210428

Christopher Hollmann, Rickard Sjöberg

引用次数: 1

Proceedings of the 23rd Packet Video Workshop 第23届分组视频研讨会论文集

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424

引用次数: 0

Sparse Coding based Frequency Adaptive Loop Filtering for Video Coding 基于稀疏编码的频率自适应环路滤波视频编码

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210427

J. Schneider, Max Bläser, M. Wien

引用次数: 0

Optimal Design of Encoding Profiles for ABR Streaming ABR流编码配置文件的优化设计

Proceedings of the 23rd Packet Video Workshop Pub Date : 2018-06-12 DOI: 10.1145/3210424.3210436

Y. Reznik, K. Lillevold, Abhijith Jagannath, Justin Greer, Jon Corley

引用次数: 32