Multi-view codec with low-complexity encoding for Distributed Video Coding

2012 ◽  
Vol 64 (3) ◽  
pp. 731-755 ◽  
Author(s):  
Lucian Ciobanu ◽  
Luís Côrte-Real
Algorithms ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 130 ◽  
Author(s):  
Dinh Trieu Duong ◽  
Huy Phi Cong ◽  
Xiem Hoang Van

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.


2017 ◽  
Vol 11 (2) ◽  
pp. 126-134 ◽  
Author(s):  
Pudi Raj Bhagath ◽  
Kallol Mallick ◽  
Jayanta Mukherjee ◽  
Sudipta Mukopadhayay

2011 ◽  
Vol 58-60 ◽  
pp. 2079-2084
Author(s):  
An Hong Wang ◽  
Yi Zheng ◽  
Zhi Hong Li ◽  
Yu Yang Wang

Nowadays, the rate-distortion performance of distributed video coding (DVC) is not satisfied despite its distinct contribution to low-complexity encoding. This paper presents a new residual DVC using an optimized trellis coded quantization (TCQ) to improve the performance of the current schemes. H.264/AVC intra-frame coding is firstly used to obtain the referenced frame, and then the residual between Wyner-Ziv frame and the referenced frame is Wyner-Ziv encoded with a proposed optimized TCQ which consists of the improved quadtree and the improved TCQ, both considering the characters of wavelet coefficients in different sub-bands. Experimental results show that the proposed scheme outperforms the referenced in rate-distortion performance, and the goal of low-complexity encoding is achieved.


2014 ◽  
Vol 25 (2) ◽  
pp. 361-372 ◽  
Author(s):  
Krishna Rao Vijayanagar ◽  
Joohee Kim ◽  
Yunsik Lee ◽  
Jong-bok Kim

Author(s):  
Huynh Van Luong ◽  
Søren Forchhammer ◽  
Jürgen Slowack ◽  
Jan De Cock ◽  
Rik Van de Walle

Distributed video coding (DVC) is a coding paradigm that entails low complexity encoding by exploiting the source statistics at the decoder. To improve the DVC coding efficiency, this paper presents a novel adaptive technique for mode decision to control and take advantage of skip mode and intra mode in DVC initially proposed by Luong et al. in 2013. The adaptive mode decision (AMD) is not only based on quality of key frames but also the rate of Wyner–Ziv (WZ) frames. To improve noise distribution estimation for a more accurate mode decision, a residual motion compensation is proposed to estimate a current noise residue based on a previously decoded frame. The experimental results, integrating AMD in two efficient DVC codecs, show that the proposed AMD DVC significantly improves the rate distortion performance without increasing the encoding complexity. For a GOP size of 2 on the set of six test sequences, the average (Bjøntegaard) bitrate saving of the proposed codec is 35.5% on WZ frames compared with the DISCOVER codec. This saving is mainly achieved by AMD.


2012 ◽  
Vol 12 (02) ◽  
pp. 1250010 ◽  
Author(s):  
VIJAY KUMAR KODAVALLA ◽  
P. G. KRISHNA MOHAN

Distributed video coding (DVC) is new video coding paradigm for emerging applications such as wireless video cameras, wireless low-power surveillance networks, disposable video cameras, sensor networks, networked camcorders, etc. In traditional video coding standards (MPEG/H.264/DivX/VC1), typically the encoder is five to 10 times more complex than the decoder, which is well suited for broadcast and streaming video-on-demand systems, where video is compressed once and decoded many times. However, the emerging applications require dual system, i.e. low complex encoders, possibly at the expense of high complex decoders. Here, low complexity encoders are must because memory, computational power and energy are scarce at the encoder. Distributed coding exploits source statistics in decoder and hence encoder can be very simple, at the expense of the more complex decoder. In literature, various DVC Architectures proposed depend on availability of feedback channel from decoder to encoder, to achieve minimum rate for target quality. In practical systems usually bidirectional communication channels are not available. Other implications are in terms of decoding delay and decoder complexity, due to usage of feedback channel. Hence it is highly desirable to design DVC without need for feedback channel. In this paper, feedback-free DVC Architecture is proposed and C model implementation results are presented.


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