Xiuchang Zhu

China University of Geosciences

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Zongliang Gan

Nanjing University of Posts and Telecommunications

Ziguan Cui

Nanjing University of Posts and Telecommunications

Tianliang Liu

Nanjing University of Posts and Telecommunications

Guijin Tang

Nanjing University of Posts and Telecommunications

Ran Li

Lyceum of the Philippines University

Xuefeng Zhan

Jiangxi Normal University

Feng Liu

University of Shanghai for Science and Technology

Minghu Wu

Hubei University of Technology

Minghu Wu

Hubei University of Technology

Changhong Chen

Nanjing University of Posts and Telecommunications

Cooperative Institutions

Nanjing University of Posts and Telecommunications

Nanjing University

Chinese Academy of Sciences

Beijing University of Posts and Telecommunications

Wuhan University of Technology

Zhejiang University

University of Science and Technology of China

University of Chinese Academy of Sciences

Xidian University

Zhejiang University of Technology

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Side Information Extrapolation Using Motion-aligned Auto Regressive Model for Compressed Sensing based Wyner-Ziv Codec

KSII Transactions on Internet and Information Systems (2013)

Ran Li Zongliang Gan Ziguan Cui Minghu Wu Xiuchang Zhu

In this paper, we propose a compressed sensing (CS) based Wyner-Ziv (WZ) codec using motion-aligned auto regressive model (MAAR) based side information (SI) extrapolation to improve the compression performance of low-delay distributed video coding (DVC).In the CS based WZ codec, the WZ frame is divided into small blocks and CS measurements of each block are acquired at the encoder, and a specific CS reconstruction algorithm is proposed to correct errors in the SI using CS measurements at the decoder.In order to generate high quality SI, a MAAR model is introduced to improve the inaccurate motion field in auto regressive (AR) model, and the Tikhonov regularization on MAAR coefficients and overlapped block based interpolation are performed to reduce block effects and errors from over-fitting.Simulation experiments show that our proposed CS based WZ codec associated with MAAR based SI generation achieves better results compared to other SI extrapolation methods.

Codec

10.3837/tiis.2013.02.011

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Citations (3)

Stereo matching using aggregated likelihood and multi-scale prior

International Conference on Audio, Language and Image Processing (2012)

Liang Wang Tianliang Liu Xiuchang Zhu

This paper proposes a novel global stereo matching method using aggregated likelihoods and multi-scale priors. The likelihoods of dense stereo correspondences as data term can be robustly expressed by aggregated matching costs based on Weber feature descriptors in an asymmetrical linear filtering model. The multi-scale priors on disparity surface are designed to capture scene smooth term from larger neighborhood besides 4-connected neighborhood. The presented stereo approach being relatively simple does not rely on image segmentation and any scene semantic analysis. Experiments demonstrate that the proposed stereo matching algorithm can produce the dense smooth disparity results comparable to those of excellent stereo matching techniques.

Feature (linguistics)

Computer stereo vision

10.1109/icalip.2012.6376725

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Dynamic Measurement Rate Allocation for Distributed Compressive Video Sensing

Journal of Nanjing University of Posts and Telecommunications (2013)

Xiuchang Zhu

A novel distributed video coding scheme with dynamic measurement rate allocation is proposed based on compressive sensing principle.It features in simple encoder,strong bit error resistent ability and high encoding efficiency.At the encoder,key frame and non-key frame are encoded independently.The former employs compressive sensing measurement with high sampling rate and the latter employs adaptive compressive sensing measurement.At the decoder,key frame and non-key frame are jointly reconstructed through compressive sensing using non-local sparsity model and dictionary learning update algorithm.Experimental results have shown that the proposed encoding algorithm can achieve quite good rate distortion performance and subjective image quality.

Distributed source coding

Key frame

Rate distortion

Distortion (music)

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Design and Realization of HD Video Monitoring Center

Video Engineering (2013)

Xiuchang Zhu

The HD video monitoring center is designed,where software decoding is based on high performance CPU and hardware decoding is based on GPU acceleration of the Microsoft DXVA framework.The features include multi-places multicameras real-time monitoring,recording,voice intercom,PTZ control,big screen output and forwarding to the decoder etc.The test results show that decoding speed and CPU utility get significant performance boost after using the DXVA framework,and the system can provide real time service for video surveillance,video conference,telemedicine,network teaching etc.

Realization (probability)

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Design and Implementation of Media Server in Embedded eCos System

Tv Engineering (2004)

Xiuchang Zhu

This paper presents the design and implementation of embedded media server under Cradle RDS3400, introduces the hardware and embedded eCos system, and describes the functions of each module and the system as a whole. Finally the implementation results are given.

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Adaptive rate selection scheme for video transmission to resolve IEEE 802.11 performance anomaly

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2011)

Guijin Tang Xiuchang Zhu

Multi-rate transmission may lead to performance anomaly in an IEEE 802.11 network. It will decrease the throughputs of all the higher rate stations. This paper proposes an adaptive rate selection scheme for video service when performance anomaly occurs. Considering that video has the characteristic of tolerance to packet loss, we actively drop several packets so as to select the rates as high as possible for transmitting packets. Experiment shows our algorithm can decrease the delay and jitter of video, and improve the system throughput as well.

10.1117/12.913268

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A Novel Performance Improved Method for Pixel-Domain Wyner-Ziv Video Coding System

Dianzi xuebao (2007)

Xiuchang Zhu

Distributed video coding(DVC) is a new video compression paradigm based on two key information theories:Slepian-Wolf and Wyner-Ziv theorems,and it has the advantage of very lightweight encoder,high compression efficiency and inbuilt robustness.In this paper,pixel-domain Wyner-Ziv video algorithm,which is a typical DVC scheme,is analyzed at first.Then a performance improved method for pixel-domain Wyner-Ziv video coding system is presented.The proposed method,without sacrificing the encoder complexity,can calculate high quality side information using bi-directional motion estimation and reconstruct decoding frames using side information by joint iteration function based on Huber-Markov random field.Simulation results show that a better visual quality and 2dB average gain of Power Signal-to-Noise Ratio(PSNR) can be achieved with the proposed method at the decoder.

Distributed source coding

Robustness

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The Optimization Scheme of Sub-Pixel Motion Estimation Algorithm in H.264

Journal of Nanjing Institute of Posts and Telecommunications (2005)

Xiuchang Zhu

This paper first analyzes the motion estimation algorithm in the JM6,which is the reference model of H.264 and then brings forward improved scheme for the motion search of integer pixel,half pixel and one forth pixel.It adopts adaptive threshold stopping algorithm so as to decrease the time of motion search and keep the motion search resolution unchanged.The experiment results have shown that this scheme increases encoding speed with little quality degradation of the reconstructed image.

Quarter-pixel motion

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EDGE DIRECTED SINGLE IMAGE SUPER RESOLUTION THROUGH THE LEARNING BASED GRADIENT REGRESSION ESTIMATION

ICIC express letters. Part B, Applications (2016)

Guogang Wang Zongliang Gan Xiuchang Zhu

Image gradient

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An Improved Super-resolution Reconstruction Algorithm with Locally Linear Embedding

Journal of Nanjing University of Posts and Telecommunications (2013)

Xiuchang Zhu

An improved super resolution reconstruction algorithm is proposed with locally linear embedding.The improvement includes three aspects.Firstly,the DCT coefficients of low resolution image patches are taken as the feature representative instead of the first order and second order gradients,which will reduce the effect of noise.Secondly,the number of adjacent blocks is chosen adaptively according to the relationship between the input low resolution image patch and its neighbors,which will avoid the possibility of choosing a distant patch as neighbor.Thirdly,the training sample of the high resolution image is taken as the residual image resulting from the difference between the high resolution image and the corresponding low resolution one.This can not only avoid the disturbance of low frequency components,but also reduce the number of smoothness computation.The experimental results have shown that the improved algorithm can achieve a better reconstruction effect with improved PSNR of 4.07 dB and improved SSIM of 0.0654 compared to the existing LLE algorithm,and improved PSNR of 0.62 dB and improved SSIM of 0.0066 compared to the sparse representation algorithm.In addition,using DCT coefficients as the feature representative reduces the computational complexity in that the number of the extracted features needed is only a quarter of that using the first order and second order gradients.

Feature (linguistics)

Smoothness

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Citations (1)