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International Conference on Pattern Recognition

作者： Bin Ma Chunlei Li Yunhong Wang Zhaoxiang Zhang Di Huang Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781467322164

In this paper we propose a watermarking based two-stage authentication framework to enhance biometric system security. The face feature of one individual is embedded into his/her fingerprint image as credibility token. During authentication, the watermark is first extracted to establish data authenticity. If legitimate, the face pattern can further serve as supplemental trait in biometric authentication progress. A wavelet quantization based watermarking method is proposed to robustly embed information in fingerprints while preserving their discriminating features. Meanwhile, a sparse representation based classifier is adopted to efficiently exploit the identity information within face watermarks. Experimental results which evaluate both watermarking and biometric authentication performance demonstrate the effectiveness of this work.

关键词： Watermarking Face Authentication Robustness Quantization Pattern recognition

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Error concealment techniques for video transmission over error-prone channels: a survey

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Journal of Computational Information Systems 2012年第21期8卷 8807-8818页

作者： Cui, Ziguan Gan, Zongliang Zhan, Xuefeng Zhu, Xiuchang Image Processing and Image Communication Lab Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab of 'Broadband Wireless Communication and Sensor Network Technology' Nanjing University of Posts and Telecommunications Ministry of Education China Institute of Physics and Communication Electronics Jiangxi Normal University Nanchang 330027 China

Efficient video transmission over unreliable channels may encounter huge challenge due to unavoidable bit error or packets loss. Error concealment (EC) techniques at the decoder side have been developed to recover the damaged regions utilizing spatial or temporal redundant information without changing the encoder structure or adding extra bandwidth. In this work the classic EC techniques and their developments are first reviewed, high-level semantics based EC schemes are also surveyed, and then the emphasis is focused on new EC features introduced by H.264/AVC. Finally, the challenges and future development directions in EC for advanced video coding schemes such as scalable video coding (SVC), multiple description coding (MDC), multi-view video coding (MVC) and stereo video coding are prospected, and future research directions are also indicated according to the current research status and existent problems. © 2012 Binary Information Press.

关键词： Scalable video coding

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Clearance of flight control law based on H-infinity theory

Clearance of flight control law based on H-infinity theory

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International Conference on Modelling, Identification and Control (ICMIC)

作者： Shuai Dong Zhishen Wang Lei Liu Liuli Ou Yongji Wang Key Lab for Image Processing & Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan China

The H∞ approach is used for the clearance of flight control laws when some parameters in the flight control system vary in a certain range. The proposed H∞ approach is developed from general H∞ theory and is applied to the clearance of a flight control law for a missile. Based on bounded real lemma, two theorems about clearance are deduced, and the clearance problem is transformed to a general linear matrix inequality problem. A BTT missile is chosen as an example to test the proposed method. The simulation result shows that the proposed method is convenient and efficient.

关键词： Aerospace control Uncertainty Mathematical model Uncertain systems Aerodynamics Missiles Control systems

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A new super-resolution reconstruction method combining narrow quantization constraint set and motion estimation for H.264 compressed video

A new super-resolution reconstruction method combining narro...

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International Conference on image and Graphics

作者： Hu, Dong Zhao, Yingxue Xiao, Peng Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9780769545417

Super-resolution (SR) reconstruction technique is mainly a task of reconstructing high resolution images from a sequence of low resolution images. The super-resolution technique for H.264 compressed video has been focused by many researchers recently. This paper briefly analyzes the narrow quantization constraint set method (NQCS), and then, in consideration of motion characteristic information of H.264 compressed video, proposes a new SR reconstruction method which combines NQCS with motion characteristic information, which are spatial domain motion estimation and frequency domain motion noise respectively. Experimental results of different standard test sequences compressed by H.264 are given. The simulation shows that both the NQCS+Mnoise method which combines NQCS with frequency domain motion noise, and the NQCS+M method which combines NQCS with spatial domain motion estimation, can get higher PNSR value than NQCS. Moreover, the NQCS+M method has better performance than NQCS+Mnoise method, and our proposed method is suitable for the SR reconstruction of H.264 compressed video. © 2011 IEEE.

关键词： Motion estimation

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Unequal loss protection of embedded streams combining particle swarm optimization and local search

Unequal loss protection of embedded streams combining partic...

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International Conference on Multimedia and Signal processing

作者： Hu, Jiajing Hu, Dong Key Lab of Image Processing and Image Communications of Jiangsu Province Nanjing University of Posts and Telecom Nanjing 210003 China

ISBN: (纸本)9780769543567

FEC-based multiple description coding (MDC) is an effective method for the transmission of scalable video stream over noisy network. However, given the transmission bandwith, it's time-consuming to find the optimal packet number and packet length as well as reasonably allocate bits between source coding and channel coding across the packets. In this paper, we state the optimal unequal error protection(UEP) as a two-level optimization problem and use a rate-optimal solution in initial step of searching. Then, we propose a new scheme, which combines the particle swarm optimization (PSO) with the local search(LS) algorithms, so that optimal solution can be found in more efficient way. Experimental results for the 3D set partitioning in hierarchical trees (SPIHT) coders show that the new algorithm provides close to optimal average peak signal-to-noise ratio performance and that its' running time is obviously lower than that of previously known algorithms.© 2011 IEEE.

关键词： Particle swarm optimization (PSO)

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Improvement of virtual view rendering based on depth image

Improvement of virtual view rendering based on depth image

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International Conference on image and Graphics

作者： Hu, Dong Sun, Jianfei Xu, Ping Jiangsu Provincial Key Lab of Image Processing and Image Communications Nanjing University of Post and Telecommunications Nanjing 210003 China

ISBN: (纸本)9780769545417

Virtual view rendering has great importance in 3-D display. In order to get high-quality image of an arbitrary view from 2-D source image, improvement on depth-image based rendering (DIBR) is studied in this paper. By analyzing the process of virtual view rendering of DIBR, an improved method is proposed, which generates new view by modifying parallax of two views and incorporating image inpainting. The parallax is deduced from depth information, and modified afterwards according to parallax gradient, so as to reduce hole regions before generating new view by 3-D image warping. To further remove the remaining holes, image inpainting combining texture and depth information is incorporated. Experimental results show the superiority of the proposed method. © 2011 IEEE.

关键词： image enhancement

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Improved SAI method using non-local spatial constraint for image interpolation

Improved SAI method using non-local spatial constraint for i...

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2011 International Conference on Wireless communications and Signal processing, WCSP 2011

作者： Bian, Jueping Gan, Zongliang Zhang, Mengcheng Zhu, Xiuchang Jiangsu Province Key Lab on Image Processing and Image Communication NUPT Nanjing China

ISBN: (纸本)9781457710100

This paper proposes an improved image interpolation method based on the soft-decision adaptive interpolation (SAI) algorithm. Natural images often contain repeatable patterns and structures throughout the image, which is called non-local property. We can use this non-local strategy to improve the interpolation quality by better estimating the model parameters and Lagrangian multiplier. There are two steps in our method. In the first step, similar patches of the given block are found in the initialized high resolution image, and the model parameters can be determined properly using the expanded piecewise auto regression (PAR) model and non-local spatial constraint. In the second step, the self-similarity of patches across the high and low resolution images is exploited to solve the Lagrangian multiplier , thus to make the data estimation robust. Experiments indicate that the improved method can achieve good results both subjectively and objectively. © 2011 IEEE.

关键词： Interpolation

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Symbolic dynamics analysis of pathological signals

Symbolic dynamics analysis of pathological signals

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2011 1st International Workshop on Complexity and Data Mining, IWCDM 2011

作者： Wang, Jun Wu, Jun Image Processing and Image Communications Key Lab. School of Geography and Biological Information Nanjing Univ. of Posts and Telecomm Nanjing 210003 China

ISBN: (纸本)9781457720079

Paper uses symbolic dynamics to study heartbeat time series from the normal subjects, patients with congestive heart failure and cardiac arrest patients. The results show that entropy value of normal people's heart beat signals is the maximum. Information entropy value of congestive heart failure patient is decreasing. Cardiac arrest patients' information entropy is the smallest. It is corresponding that patients have entered into dangerous stage in clinical. Clinical treatment of patients at this time is a critical period. The results are of great significance on the clinical automatically diagnosis. It can play a role in timely warning especially in the long ambulatory ECG monitoring to save the patient's life. © 2011 IEEE.

关键词： Diagnosis

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Language modeling for syntax-based machine translation using tree substitution grammars: A case study on Chinese-english translation

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ACM Transactions on Asian Language Information processing 2011年第4期10卷 1–29页

作者： Xiao, Tong Zhu, Jingbo Zhu, Muhua Northeastern University Key Laboratory of Medical Image Computing Natural Language Processing Lab Shenyang 110004 China

The poor grammatical output of Machine Translation (MT) systems appeals syntax-based approaches within language modeling. However, previous studies showed that syntax-based language modeling using (Context- Free) Treebank Grammars was not very helpful in improving BLEU scores for Chinese-English machine translation. In this article we further study this issue in the context of Chinese-English syntax-based Statistical Machine Translation (SMT) where Synchronous Tree Substitution Grammars (STSGs) are utilized to model the translation process. In particular, we develop a Tree Substitution Grammar-based language model for syntax-based MT, and present three methods to efficiently integrate the proposed language model into MT decoding. In addition, we design a simple and effective method to adapt syntax-based language models for MT tasks. We demonstrate that the proposed methods are able to benefit a state-of-the-art syntax-based MT system. On the NIST Chinese-English MT evaluation corpora, we finally achieve an improvement of 0.6 BLEU points over the baseline. © 2011 ACM.

关键词： Machine translation

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Automatic treebank conversion via informed decoding-A case study on Chinese treebanks

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ACM Transactions on Asian Language Information processing 2011年第3期10卷 1–24页

作者： Zhu, Muhua Zhu, Jingbo Xiao, Tong Key Laboratory of Medical Image Computing Natural Language Processing Lab Northeastern University Shenyang 110819 China

Treebanks are valuable resources for syntactic parsing. For some languages such as Chinese, we can obtain multiple constituency treebanks which are developed by different organizations. However, due to discrepancies of underlying annotation standards, such treebanks in general cannot be used together through direct data combination. To enlarge training data for syntactic parsing, we focus in this article on the challenge of unifying standards of disparate treebanks by automatically converting one treebank (source treebank) to fit a different standard which is exhibited by another treebank (target treebank). We propose to convert a treebank in two sequential steps which correspond to the part-of-speech level and syntactic structure level (including tree structures and grammar labels), respectively. Approaches used in both levels can be unified as an informed decoding procedure, where information derived from original annotation in a source treebank is used to guide the conversion conducted by a POS tagger (or a parser in the syntactic structure level) trained on a target treebank. We take two Chinese treebanks as a case study, and experiments on these two treebanks show significant improvements in conversion accuracy over baseline systems, especially in situations where a target treebank is small in size. © 2011 ACM.

关键词： Decoding

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