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  1. Proceedings of the 2014 Workshop on Design, Quality and Deployment of Adaptive Video Streaming (VideoNext '14)
  2. A Geo-Adaptive JavaScript DASH Player
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TAPAS: A Tool for rApid Prototyping of Adaptive Streaming algorithms
Quality of Experience of Web-based Adaptive HTTP Streaming Clients in Real-World Environments using Crowdsourcing
Transitions in Live Video Streaming Services
A Control Architecture for Massive Adaptive Video Streaming Delivery
Using In-Network Adaptation to Tackle Inefficiencies Caused by DASH in Information-Centric Networks
A Geo-Adaptive JavaScript DASH Player
DASH in Twitch: Adaptive Bitrate Streaming in Live Game Streaming Platforms
The Impact of Adaptation Strategies on Perceived Quality of HTTP Adaptive Streaming
Efficient HEVC Scheme Using Motion Type Categorization
Video Ferrying: A Low Cost Video Streaming Approach for Cellular Networks
Empirical Evaluation of Real-Time Video Foveation
An SDN-based Framework for Detection of Illegal Rebroadcasting of Channels in P2PTV

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A Geo-Adaptive JavaScript DASH Player

Content Provider ACM Digital Library
Author Zhong, Garson Bokani, Ayub
Abstract In Dynamic Adaptive Streaming over HTTP (DASH), the video bitrate is adapted to the network's condition based on client's feedback. Typically, a high bitrate is selected for next video chunk when the average of previously observed bandwidth samples is high and vice versa. An unexpected drop in the network throughput causes video freezing as the adaptation is done based on network's status in previous moment. In a vehicular environment, this problem is more likely to occur due to rapid movements of client to new locations where the network throughput can be very volatile. In this paper, we present a modified JavaScript DASH player that enables the streaming client to optimize the streaming performance by taking advantage of pre-collected bandwidth statistics in different locations. In this video player, Markov Decision Process (MDP) has been considered as the underlying optimization framework.
Starting Page 39
Ending Page 40
Page Count 2
File Format PDF
ISBN 9781450332811
DOI 10.1145/2676652.2683463
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-12-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Adaptive video streaming Bandwidth map
Content Type Text
Resource Type Article
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