Abstract
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.
Highlights
Video coding technologies have been playing an important role in the context of audiovisual services, such as digital TV, mobile video, and internet streaming, to cope with the high compression requirements
This leads to the fluctuation in the video quality playing over the decoded key was obtained by DISCOVER distributed video coding (DVC) and the proposed Joint exploration model based DVC (JEM-DVC) in terms of subjective quality evaluations
A novel Joint exploration model (JEM)-DVC solution has been proposed to take into account the recent achievements of JEM/future video coding standard (FVC) upgrades
Summary
Video coding technologies have been playing an important role in the context of audiovisual services, such as digital TV, mobile video, and internet streaming, to cope with the high compression requirements. Video coding schemes in DVC can effectively exploit the temporal correlation at the decoder rather than at the encoder without rate-distortion performance penalty based on Slepian-Wolf and Wyner-Ziv theorems; this allows moving motion estimation and its complexity to the decoder, achieving simpler encoders. The problem of providing consistent video quality for the DVC decoded frames is still limited so far, many approaches have been introduced in the literature to effectively improve the performance of DVC codecs. As reported in the experimental results that were obtained for the HEVC based DVC [9], the performance of DVC codec in this case is much better than that of the H.264/AVC based DVC; the fluctuation of video quality on the decoded key and WZ frames are very strong and it degrades the user’s quality of experience.
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