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Content based error resilience coding using redundant coding, reference frame modification, and mode decision

Journal of Central South University 2014年第11期21卷 4199-4209页

作者：徐巍炜蒋荣欣田翔陈耀武 Institute of Advanced Digital Technology and Instrument zhejiang University zhejiang provincial key laboratory for network multimedia technologies (zhejiang University)

Quality degradation occurs during transmission of video streaming over the error-prone network. By jointly using redundant slice, reference frame selection, and intra/inters mode decision, a content and end-to-end rate-distortion based error resilience method is proposed. Firstly, the intra/inter mode decision is implemented using macro-block(MB) refresh, and then redundant picture and reference frame selection are utilized together to realize the redundant coding. The estimated error propagation distortion and bit consumption of refresh MB are used for the mode and reference frame decision of refresh MB. Secondly, by analyzing the statistical property in the successive frames, the error propagation distortion and bit consumption are formulated as a function of temporal distance. Encoding parameters of the current frame is determined by the estimated error propagation distortion and bit consumption. Thirdly, by comparing the rate-distortion cost of different combinations, proper selection of error resilience method is performed before the encoding process of the current frame. Finally, the MB mode and bit distribution of the primary picture are analyzed for the derivation of the texture information. The motion information is subsequently incorporated for the calculation of video content complexity to implement the content based redundant coding. Experimental results demonstrate that the proposed algorithm achieves significant performance gains over the LA-RDO and HRP method when video is transmitted over error-prone channel.

关键词： error resilience coding redundant picture macro-block(MB) refresh reference frame selection error propagation distortion

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Robust SLAM using square-root cubature Kalman filter and Huber's GM-estimator

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High Technology Letters 2016年第1期22卷 38-46页

作者：徐巍军 Jiang Rongxin Xie Li Tian Xiang Chen Yaowu Institute of Advanced Digital Technology and Instrumentation Zhejiang University zhejiang provincial key laboratory for network multimedia technologies Zhejiang University

Mobile robot systems performing simultaneous localization and mapping(SLAM) are generally plagued by non-Gaussian *** improve both accuracy and robustness under non-Gaussian measurement noise,a robust SLAM algorithm is *** is based on the square-root cubature Kalman filter equipped with a Huber' s generalized maximum likelihood estimator(GM-estimator).In particular,the square-root cubature rule is applied to propagate the robot state vector and covariance matrix in the time update,the measurement update and the new landmark initialization stages of the ***,gain weight matrices with respect to the measurement residuals are calculated by utilizing Huber' s technique in the measurement update *** measurement outliers are suppressed by lower Kalman gains as merging into the *** proposed algorithm can achieve better performance under the condition of non-Gaussian measurement noise in comparison with benchmark *** simulation results demonstrate the advantages of the proposed SLAM algorithm.

关键词： square-root cubature Kalman filter simultaneous localization and mapping(SLAM) Huber' s GM-estimator robustness

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Error Resilient Video Communication Based on Picture Level Adaptive Frame / Field Coding

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Journal of Donghua University(English Edition) 2013年第2期30卷 103-109页

作者：徐巍炜周凡陈耀武 Institute of Advanced Digital Technology and Instrument Zhejiang University zhejiang provincial key laboratory for network multimedia technologies Zhejiang University

Packet loss protection method based on picture level adaptive frame /field coding (PAFF)was presented. Firstly,the end-to-end rate-distortion analysis for PAFF on the current frame was performed. Secondly,in order to evaluate the severity of error propagation in the following frames,the error propagation intensity and human visual quality sensitivity of different areas were taken into consideration. It was followed by the quantification of relative importance. Finally,the proper coding mode was chosen utilizing an unequal comparison procedure. The simulation results show that the proposed method can improve peak signal-to-noise ratio (PSNR) up to 0. 9 dB and 1. 6 dB comparing with the field only and the dispersed flexible macro-block ordering (FMO)only methods respectively.

关键词： error resilience field coding adaptive frame/field coding human visual system error control coding

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M-ary information processing via an optimal nonlinear detector

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Chinese Physics B 2009年第12期18卷 5196-5202页

作者：李建龙 Department of Information Science & Electronic Engineering Zhejiang University zhejiang provincial key laboratory of Information network Technology

This paper presents a novel approach of M-ary baseband pulse amplitude modulated signal processing via a parameter-optimized nonlinear dynamic system. This nonlinear system usually shows the phenomenon of stochastic resonance by adding noise. To thoroughly discuss the signal processing performance of the nonlinear system, we tune the system parameters to obtain a nonlinear detector with optimal performance. For characterizing the output of the nonlinear system, the derivation of the probability of detection error is given by the system response speed and the probability density function of the nonlinear system output. By varying the noise intensity with fixed system parameters, the phenomenon of stochastic resonance is shown and by tuning the system parameters with fixed noise, the probability of detection error is minimized and the nonlinear system is optimized. The detection performance of the two cases is compared with the theoretical probability of detection error, which is validated by numerical simulation.

关键词： nonlinear detector stochastic resonance tuning parameters probability of detection error

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Effects of error feedback on a nonlinear bistable system with stochastic resonance

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Chinese Physics B 2012年第11期21卷 108-113页

作者：李建龙周辉 Department of Information Science&Electronic Engineering Zhejiang University zhejiang provincial key laboratory of Information network Technology

In this paper, we discuss the effects of error feedback on the output of a nonlinear bistable system with stochastic resonance. The bit error rate is employed to quantify the performance of the system. The theoretical analysis and the numerical simulation are presented. By investigating the performances of the nonlinear systems with different strengths of error feedback, we argue that the presented system may provide guidance for practical nonlinear signal processing.

关键词： stochastic resonance nonlinear bistable system error feedback bit error rate

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An Unprecedented Efficiency with Approaching 21%Enabled by Additive‑Assisted Layer‑by‑Layer Processing in Organic Solar Cells

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Nano-Micro Letters 2025年第2期17卷 372-375页

作者： Shuai Xu Youdi Zhang Yanna Sun Pei Cheng Zhaoyang Yao Ning Li Long Ye Lijian Zuo Ke Gao key laboratory of Advanced Green Functional Materials College of ChemistryChangchun Normal UniversityChangchun 130032People’s Republic of China Shandong provincial key laboratory for Science of Material Creation and Energy Conversion School of Chemistry and Chemical EngineeringShandong UniversityQingdao 266237People’s Republic of China College of Polymer Science and Engineering Sichuan UniversityChengdu 610065People’s Republic of China State key laboratory and Institute of Elemento‑Organic Chemistry Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer MaterialsRenewable Energy Conversion and Storage Center(RECAST)College of ChemistryNankai UniversityTianjin 300071People’s Republic of China Institute of Polymer Optoelectronic Materials and Devices State key laboratory of Luminescent Materials and Devices South China University of TechnologyGuangzhou 510640People’s Republic of China Tianjin key laboratory of Molecular Optoelectronic Sciences School of Materials Science and EngineeringTianjin UniversityTianjin 300350People’s Republic of China State key laboratory of Silicon Materials MOE Key Laboratory of Macromolecular Synthesis and FunctionalizationDepartment of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027People’s Republic of China

Recently published in Joule,Feng Liu and colleagues from Shanghai Jiaotong University reported a record-breaking 20.8%power conversion efficiency in organic solar cells(OSCs)with an interpenetrating fibril network active layer morphology,featuring a bulk p-in structure and proper vertical segregation achieved through additive-assisted layer-by-layer *** optimized hierarchical gradient fibrillar morphology and optical management synergistically facilitates exciton diffusion,reduces recombination losses,and enhances light capture *** approach not only offers a solution to achieving high-efficiency devices but also demonstrates the potential for commercial applications of OSCs.

关键词： Organic solar cells Additive-assisted layer-by-layer processing Three-dimensional fibril morphology Bulk p-i-n structure Optical management

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K-nearest neighborhood based integration of time-of-flight cameras and passive stereo for high-accuracy depth maps?

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Journal of zhejiang University-Science C(Computers and Electronics) 2014年第3期15卷 174-186页

作者： Li-wei LIU Yang LI Ming ZHANG Liang-hao WANG Dong-xiao LI Institute of Information and Communication Engineering Zhejiang University zhejiang provincial key laboratory of Information network Technology

Both time-of-flight(ToF) cameras and passive stereo can provide the depth information for their corresponding captured real scenes, but they have innate limitations. ToF cameras and passive stereo are intrinsically complementary for certain tasks. It is desirable to appropriately leverage all the available information by ToF cameras and passive stereo. Although some fusion methods have been presented recently, they fail to consider ToF reliability detection and ToF based improvement of passive stereo. As a result, this study proposes an approach to integrating ToF cameras and passive stereo to obtain high-accuracy depth maps. The main contributions are:(1) An energy cost function is devised to use data from ToF cameras to boost the stereo matching of passive stereo;(2) A fusion method is used to combine the depth information from both ToF cameras and passive stereo to obtain high-accuracy depth maps. Experiments show that the proposed approach achieves improved results with high accuracy and robustness.

关键词： Depth map Passive stereo Time-of-flight camera Fusion

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An adaptive pipelining scheme for H.264/AVC CABAC decoder

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High Technology Letters 2013年第4期19卷 391-397页

作者：陈杰 Ding Dandan Yu Lu Institute of Information and Communication Engineering Zhejiang Provincial Key Laboratory of Information Network TechnologyZhejiang University

An adaptive pipelining scheme for H.264/AVC context-based adaptive binary arithmetic coding(CABAC) decoder for high definition(HD) applications is proposed to solve data hazard problems coming from the data dependencies in CABAC decoding *** efficiency model of CABAC decoding pipeline is derived according to the analysis of a common *** on that,several adaptive strategies are *** pipelining scheme with these strategies can be adaptive to different types of syntax elements(SEs) and the pipeline will not stall during decoding process when these strategies are *** addition,the decoder proposed can fully support H.264/AVC high4:2:2 profile and the experimental results show that the efficiency of decoder is much higher than other architectures with one *** both performance and cost into consideration,our design makes a good tradeoff compared with other work and it is sufficient for HD real-time decoding.

关键词： H.264/AVC context-based adaptive binary arithmetic coding (CABAC) adaptive pipeline data dependency data hazard

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Unsupervised feature selection via joint local learning and group sparse regression

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Frontiers of Information Technology & Electronic Engineering 2019年第4期20卷 538-553页

作者： Yue WU Can WANG Yue-qing ZHANG Jia-jun BU zhejiang provincial key laboratory of Service Robot College of Computer Science and Technology Zhejiang University Alibaba-zhejiang University Joint Institute of Frontier technologies

Feature selection has attracted a great deal of interest over the past decades. By selecting meaningful feature subsets, the performance of learning algorithms can be effectively improved. Because label information is expensive to obtain, unsupervised feature selection methods are more widely used than the supervised ones. The key to unsupervised feature selection is to find features that effectively reflect the underlying data distribution. However,due to the inevitable redundancies and noise in a dataset, the intrinsic data distribution is not best revealed when using all features. To address this issue, we propose a novel unsupervised feature selection algorithm via joint local learning and group sparse regression(JLLGSR). JLLGSR incorporates local learning based clustering with group sparsity regularized regression in a single formulation, and seeks features that respect both the manifold structure and group sparse structure in the data space. An iterative optimization method is developed in which the weights finally converge on the important features and the selected features are able to improve the clustering results. Experiments on multiple real-world datasets(images, voices, and web pages) demonstrate the effectiveness of JLLGSR.

关键词： Unsupervised Local learning Group sparse regression Feature selection

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Vision based terrain reconstruction for planet rover using a special binocular bundle adjustment

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Journal of zhejiang University-Science A(Applied Physics & Engineering) 2008年第10期9卷 1341-1350页

作者： Min-yi SHEN Zhi-yu XIANG Ji-lin LIU Institute of Information and Communication Engineering Zhejiang University Hangzhou 310027 China zhejiang provincial key laboratory of Information network Technology Zhejiang University Hangzhou 310027 China

This paper presents a pure vision based technique for 3D reconstruction of planet terrain. The reconstruction accuracy depends ultimately on an optimization technique known as 'bundle adjustment'. In vision techniques, the translation is only known up to a scale factor, and a single scale factor is assumed for the whole sequence of images if only one camera is used. If an extra camera is available, stereo vision based reconstruction can be obtained by binocular views. If the baseline of the stereo setup is known, the scale factor problem is solved. We found that direct application of classical bundle adjustment on the constraints inherent between the binocular views has not been tested. Our method incorporated this constraint into the conventional bundle adjustment method. This special binocular bundle adjustment has been performed on image sequences similar to planet terrain circumstances. Experimental results show that our special method enhances not only the localization accuracy, but also the terrain mapping quality.

关键词： 3D reconstruction Binocular bundle adjustment (BBA) Scale-invariant feature transform (SIFT) Re-projectionerror RANSAC

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