scholarly journals Distributed video coding: A promising solution for distributed wireless video sensors or not?

2011 ◽  
Author(s):  
Chieh-Chuan Chiu ◽  
Shao-Yi Chien ◽  
Chia-han Lee ◽  
V. Srinivasa Somayazulu ◽  
Yen-Kuang Chen
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Wireless Video ◽  
Promising Solution ◽  
Video Sensors

scholarly journals A Novel Consistent Quality Driven for JEM Based Distributed Video Coding

Algorithms ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 130 ◽  
Author(s):  
Dinh Trieu Duong ◽  
Huy Phi Cong ◽  
Xiem Hoang Van
Keyword(s):  
Video Coding ◽  
Signal To Noise Ratio ◽  
Video Quality ◽  
Visual Quality ◽  
Low Complexity ◽  
Distributed Video Coding ◽  
Surveillance Systems ◽  
Promising Solution ◽  
Optimal Values

Distributed video coding (DVC) is an attractive and promising solution for low complexity constrained video applications, such as wireless sensor networks or wireless surveillance systems. In DVC, visual quality consistency is one of the most important issues to evaluate the performance of a DVC codec. However, it is the fact that the quality of the decoded frames that is achieved in most recent DVC codecs is not consistent and it is varied with high quality fluctuation. In this paper, we propose a novel DVC solution named Joint exploration model based DVC (JEM-DVC) to solve the problem, which can provide not only higher performance as compared to the traditional DVC solutions, but also an effective scheme for the quality consistency control. We first employ several advanced techniques that are provided in the Joint exploration model (JEM) of the future video coding standard (FVC) in the proposed JEM-DVC solution to effectively improve the performance of JEM-DVC codec. Subsequently, for consistent quality control, we propose two novel methods, named key frame quantization (KF-Q) and Wyner-Zip frame quantization (WZF-Q), which determine the optimal values of the quantization parameter (QP) and quantization matrix (QM) applied for the key and WZ frame coding, respectively. The optimal values of QP and QM are adaptively controlled and updated for every key and WZ frames to guarantee the consistent video quality for the proposed codec unlike the conventional approaches. Our proposed JEM-DVC is the first DVC codec in literature that employs the JEM coding technique, and then all of the results that are presented in this paper are new. The experimental results show that the proposed JEM-DVC significantly outperforms the relevant DVC benchmarks, notably the DISCOVER DVC and the recent H.265/HEVC based DVC, in terms of both Peak signal-to-noise ratio (PSNR) performance and consistent visual quality.

Distributed Video Coding Using LDPC Codes for Wireless Video

2009 ◽  
Vol 01 (04) ◽  
pp. 334-339 ◽  
Author(s):  
P. APARNA ◽  
Sivaprakash REDDY ◽  
Sumam DAVID
Keyword(s):  
Video Coding ◽  
Ldpc Codes ◽  
Distributed Video Coding ◽  
Wireless Video

scholarly journals Error resiliency of distributed video coding in wireless video communication

2008 ◽  
Author(s):  
Shuiming Ye ◽  
Mourad Ouaret ◽  
Frederic Dufaux ◽  
Michael Ansorge ◽  
Touradj Ebrahimi
Keyword(s):  
Video Coding ◽  
Distributed Video Coding ◽  
Video Communication ◽  
Wireless Video ◽  
Error Resiliency

Wireless Video Sensor Networks

2011 ◽  
pp. 40-58 ◽  
Author(s):  
Abdelrahman Elamin ◽  
Varun Jeoti ◽  
Samir Belhouari
Keyword(s):  
Video Coding ◽  
Low Complexity ◽  
Video Codec ◽  
Sensor Nodes ◽  
Wireless Video ◽  
Wireless Video Sensor Networks ◽  
Video Application ◽  
Video Sensors ◽  
Video Sensor Networks ◽  
Video Sensor

Wireless Video Sensors Networks (WVSNs) generally suffer from the constraint that their sensor nodes must consume very little power. In this rapidly emerging video application, the traditional video coding architecture cannot be used due to its high encoding complexity. Thankfully, some theorems from Information Theory suggest that this problem can be solved by shifting the encoder tasks, partially or totally, to the decoder. These theorems are employed in the design of so-called Distributed Video Coding (DVC) solutions, the subject matter of this chapter. The chapter not only introduces the DVC but also reviews some important developments of the popular Stanford Wyner-Ziv coding architecture and caps it with latest research trends highlighting a Region-Based-Wyner-Ziv video codec that enables low-complexity encoding while achieving high compression efficiency.

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