A Dynamic Video Streaming Scheme Based on SP/SI Frames of H.264/AVC

2012 ◽  
Author(s):  
Po-Chyi Su ◽  
Ying-Chang Wu
Keyword(s):  
Video Streaming ◽  
Video Streaming Scheme

scholarly journals An Efficient Coded Streaming Using Clients’ Cache

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6220
Author(s):  
Tae-Won Ban ◽  
Woongsup Lee ◽  
Jongyeol Ryu
Keyword(s):  
Video Streaming ◽  
Video Content ◽  
Network Resource ◽  
Coding Schemes ◽  
Index Coding ◽  
Backward Compatibility ◽  
Video Streaming Scheme ◽  
Exclusive Or ◽  
To Receive ◽  
Grouping Algorithm

As multimedia traffic has been increasing and is expected to grow more sharply, various technologies using caches have been attracting lots of attention. As one breakthrough technology to deal with the explosively growing traffic, exclusive OR (XOR)-based index coding has been widely investigated because it can greatly enhance the efficiency of network resource by reducing the number of transmissions. In this paper, we investigate how to apply XOR-based index coding to large-scaled practical streaming systems for video traffic that accounts for more than 70% of total Internet traffic. Contrary to most previous studies that have focused on theoretical analysis of optimal performance or development of optimal index coding schemes, our study proposes a new XOR coding-based video streaming (XC). We also propose a new grouping algorithm for creating XC groups while guaranteeing the complete backward compatibility of XC with existing streaming schemes such as unicast (UC), multicast (MC), and broadcast (BC). The performance of the proposed scheme is analyzed in two steps. First, the behavior of video contents in caches at clients is modeled as a Markov chain, and the steady-state probabilities and caching probabilities for each piece of video content are derived. Based on the probabilities, the performance of the proposed system is then analyzed in terms of the average number of connections that each client requires in order to receive one video content. Our numerical results show that the proposed video streaming scheme using XC can reduce the average number of transmissions by up to 18%, compared to the conventional scheme.

A User-Side Energy-Saving Video Streaming Scheme for LTE Devices

2015 ◽  
Vol 19 (6) ◽  
pp. 965-968 ◽  
Author(s):  
Song Gun Lee ◽  
Jeman Park ◽  
Hyogon Kim
Keyword(s):  
Energy Saving ◽  
Video Streaming ◽  
Video Streaming Scheme

scholarly journals Fuzzy Logic-Based Adaptive Point Cloud Video Streaming

2020 ◽  
Author(s):  
Zhi Liu ◽  
Jie Li ◽  
Xianfu Chen ◽  
Celimuge Wu ◽  
susumu ishihara ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Video Streaming ◽  
Point Cloud ◽  
Degrees Of Freedom ◽  
Video Quality ◽  
Base Layer ◽  
Quality Level ◽  
Real Point ◽  
Network Bandwidth ◽  
Video Streaming Scheme

Point cloud video provides 6 degrees of freedom (6DoF) viewing experiences to allow users to freely select the viewing angles of 3D scenes and is expected to be the next-generation video. This paper studies the point cloud video streaming and proposes a fuzzy logic-based point cloud video streaming scheme to solve the inherent technical issues. In particular, a point cloud video is first partitioned into smaller tiles, along with a low-quality base layer covering the entire video. Each tile is encoded into different quality levels, and both the compressed and uncompressed (i.e., decoded) versions of each tile are prepared for selection. Then, based on the user’s viewing angle and predicted future network bandwidth condition, fuzzy logic empowered quality level selection, with properly defined novel fuzzification, fuzzy rules, and defuzzification, is conducted to maximize the received point cloud video quality under the communication resource, computational resource and quality requirements constraints. Extensive simulations based on real point cloud video sequences and network traces are conducted, and the results reveal the superiority of the proposed scheme over the baseline scheme. To the best of our knowledge, this is the first work studying point cloud video streaming using fuzzy logic. <br>

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