Video Transmission Adopting Scalable Video Coding over Time-varying Networks

2006 ◽  
Vol 52 (2) ◽  
pp. 689-695 ◽  
Author(s):  
Chun-Su Park ◽  
Nam-Hyeong Kim ◽  
Sang-Hee Park ◽  
Goo-Rak Kwon ◽  
Sung-Jea Ko
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Scalable Video Coding ◽  
Scalable Video ◽  
Time Varying ◽  
Time Varying Networks ◽  
Over Time

Robust Video Transmission for H.264 Scalable Video Coding System over Error-Prone Networks

2011 ◽  
Vol 58-60 ◽  
pp. 1554-1559
Author(s):  
Chou Chen Wang ◽  
Wei Han Chen ◽  
Yan Lin Lu ◽  
Jia Wei Wu
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Unequal Error Protection ◽  
Scalable Video ◽  
Coding System ◽  
Error Protection ◽  
Transmission Scheme ◽  
Rs Code

In this paper, we develop a novel robust scheme of two-dimensional unequal error protection (2-D UEP) for the H.264 scalable video coding (SVC) with a combined temporal and quality (SNR) scalability over packet-erasure channel. To avoid the waste of bits and obtain the best rate allocation, we propose a threshold-based UEP (TH-UEP) scheme. The proposed TH-UEP designs a predefined threshold according to the length of packet and the error correcting ability of RS code to achieve the best allocation. In addition, the proposed scheme also derives a simple mathematical model to reduce computational load of the best allocation. Experimental results demonstrate that the proposed H.264 video transmission scheme can provide strong robustness and video quality improvement when compared to other 2-D UEP schemes.

scholarly journals Performance analysis of scalable video transmission in machine-type-communication caching network

2019 ◽  
Vol 15 (1) ◽  
pp. 155014771881585
Author(s):  
Yanzhao Hou ◽  
Nan Hu ◽  
Qimei Cui ◽  
Xiaofeng Tao
Keyword(s):  
Video Coding ◽  
User Satisfaction ◽  
Video Transmission ◽  
Performance Metrics ◽  
Scalable Video Coding ◽  
Scalable Video ◽  
Memory Space ◽  
Satisfaction Index ◽  
Machine Type ◽  
Machine Type Communication

In this article, different from the traditional Device-to-Device caching wireless cellular networks, we consider the scalable video coding performance in cache-based machine-type communication network, where popular videos encoded by scalable video coding method can be cached at machine-type devices with limited memory space. We conduct a comprehensive analysis of the caching hit probability using stochastic geometry, which measures the probability of requested video files cached by nearby local devices and the user satisfaction index, which is essential to delay sensitive video streams. Simulation results prove the derivation of the performance metrics to be correct, using Random cache method and Popularity Priority cache method. It is also demonstrated that scalable video coding–based caching method can be applied according to different user requirements as well as video-type requests, to achieve a better performance.

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