Scalable Distributed Video Coding for Wireless Video Sensor Networks

Yang, Hong; Qing, Linbo; He, Xiaohai; Xiong, Shi‐Jie

doi:10.1587/transinf.2017mup0006

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…In [6], the decision model is established on the weighted average of delay and packet loss rate to programme the transmission path. Article [7] is based on transmission of different wavelet information, which is mainly aimed at the wireless network. Article [8] works on the client with the dynamic adaptive streaming over HTTP (DASH) with SVC and uses a bufferaware layer selection algorithm to choose some layers to transmit.…”

Section: Related Workmentioning

confidence: 99%

A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN

Wang

2020

Mathematical Problems in Engineering

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Scalable Video Coding (SVC) is a powerful solution to video application over heterogeneous networks and diversified end users. In the recent years, works mostly concentrate on transported layers or path for a single layer in the Software-Defined Network (SDN). This paper proposes the Novel Hybrid Optimization Algorithm for Scalable Video Coding (NHO-SVC) based on Genetic Algorithm to select the layer and path simultaneously. The algorithm uses the 0/1 knapsack programming model to set up the model, predicts the network states by the Autoregressive Integrated Moving Average Model (ARIMA), and then, makes decision based on Genetic Algorithm.

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Section: Related Workmentioning

confidence: 99%

A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN

Wang

2020

Mathematical Problems in Engineering

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“…This method uses the down-sampled decoded Wyner–Ziv frames and the decoded coefficients to progressively improve the RD performance during the decoding procedure. In [ 14 ], an efficient scalable DVC scheme was proposed for video transmission in wireless video sensor networks. In their scheme, the scalable Wyner–Ziv frame is based on transmission of different wavelet information, while the key frame is based on transmission of different residual information.…”

Section: Introductionmentioning

confidence: 99%

Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed Video Coding

Wang

Chen

2020

Entropy

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In order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner–Ziv frame at the encoder side are divided into entropy coding coefficient bands and distributed video coding coefficient bands, and then the coefficients of entropy coding coefficient bands are sampled, which are divided into sampled coefficients and unsampled coefficients. For sampled coefficients, an adaptive arithmetic encoder is used for lossless compression. For unsampled coefficients and the coefficients of distributed video coding coefficient bands, the low density parity check accumulate encoder is used to calculate the parity bits, which are stored in the buffer and transmitted in small amount upon decoder request. At the decoder side, the optical flow method is used to generate the initial side information, and the initial side information is improved according to the sampled coefficients by using the coefficient matrix improvement model. The experimental results demonstrate that the proposed side information generation scheme based on the coefficient matrix improvement model can effectively improve the quality of side information, and the quality of the generated side information is improved by about 0.2–0.4 dB, thereby improving the overall performance of the distributed video coding system.

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