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Image Classification via Semi-supervised pLSA

Image Classification via Semi-supervised pLSA

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International Conference on Image and Graphics (ICIG)

作者： Liansheng Zhuang Lanbo She Yuning Jiang Ketan Tang Nenghai Yu MOE-MS Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China

ISBN: (纸本)9780769552378;9780769538839

In this paper, we propose Semi-Supervised pLSA(SSpLSA) for image classification. Compared with the classic non-supervised pLSA, our method overcomes the shortcoming of poor classification performance when the features of two categories are quite similar. By introducing category label information into EM algorithm, the iteration process can be directed carefully to the desired result. SS-pLSA greatly prevents the inter-impact between different categories. The experiment results show that the proposed SS-pLSA significantly improves the performance of image classification, especially when two categories' features are similar and difficult to distinguish by classic pLSA. In contrast to these totally supervised algorithm, SS-pLSA almost has no loss in detection rate while sharply reduces the difficulty of collecting training samples. With highly flexibility, SS-pLSA enables users to explore the trade-off between labeled number and accuracy.

关键词： Image classification Algorithm design and analysis Graphics Laboratories multimedia computing Convergence Pattern recognition Machine learning Statistics Data mining

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Low-Resolution Face Recognition via Sparse Representation of Patches

Low-Resolution Face Recognition via Sparse Representation of...

引用

International Conference on Image and Graphics (ICIG)

作者： Liansheng Zhuang Mengliao Wang Wen Yu Nenghai Yu Yangchun Qian MOE-MS Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China

ISBN: (纸本)9781424452378

Images resolution plays an important role during face recognition. Low-resolution face images will reduce drastically the performance of face recognition algorithms. In this paper, we propose a novel approach for low-resolution face recognition. Our method first exacts patches with different size from the face images. Each patch is represented by its LBP feature. Then, we find the sparse representation of these patches based on corresponding LBP features of high-resolution face image patches. At last, we use AdaBoost to select the most discriminative patches, each of which is treated as a weak classifier, and make the ensemble of these patches weak classifiers for final decision. Experiments on Extended Yale B face database showed our method achieved high performance for low-resolution face recognition.

关键词： Face recognition Image resolution Testing Video sequences Graphics Laboratories multimedia computing Image databases Spatial databases Ice

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A Peer Selection Mechanism in P2P Networks Based on the Collaboration of ISPs and P2P Systems

A Peer Selection Mechanism in P2P Networks Based on the Coll...

引用

International Conference on Information Science and Engineering (ICISE)

作者： Hong Zhuang Yinlong Xu Yuchong Hu Xiaobin Lin MOE-MS Key Laboratory of Multimedia Computing and Communication Department of Computer Science and Technology University of Science and Technology Hefei China

ISBN: (纸本)9781424449095

This paper studies that how can Internet Service Providers (ISPs) reduce the traffic caused by P2P applications while keeping P2P services. Based on the collaboration of ISPs and P2P, we design an ISP-aided peer selection mechanism, named ISP-AFHA, to reduce the traffic caused by P2P applications. In ISP-AFHA, we introduce Dynamic ISP Hop (DIH) and Backbone Connectivity Cost (BCC) as the main metrics for more specified analysis. DIH based on the Internet Autonomous System (AS) model, is used to measure the network load of ISP routing. BCC bases on the diversity of links in three-tier model of Internet and is used to measure how many backbone networks which a P2P transmission has passed through. The experimental results show that in the environment with heavy P2P traffic, ISP-AFHA can reduce 7.4% of DIH cost and 10.8% of BCC cost in some scenarios, compared with the ISP-aided method in.

关键词： Telecommunication traffic Costs Spine Algorithm design and analysis Traffic control IP networks Routing Information science International collaboration multimedia computing

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iFLY system for the NIST 2008 speaker recognition evaluation

iFLY system for the NIST 2008 speaker recognition evaluation

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Wu Guo Yanhua Long Yijie Li Lei Pan Eryu Wang Lirong Dai MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology China

The description of iFLY system submitted for NIST 2008 speaker recognition evaluation (SRE), which has achieved excellent performance in the 2008 SRE evaluation, is presented in this paper. Our primary system is a fusion of two subsystems GMM-UBM and GMM-SVM. For each sub-system, two kinds of short-time acoustic features PLP and LPCC are adopted. We focus on three key issues in this evaluation: channel compensation, multi-lingual or bi-lingual cues and the voice activity detection. We also point out that data selection and factor analysis play key roles in the system improvement.

关键词： NIST Speaker recognition Telephony Speech analysis Microphones Testing Feature extraction Frequency modulation Noise reduction Laboratories

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Fast Salient Object Detection Based on Segments

Fast Salient Object Detection Based on Segments

引用

2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

作者： Liansheng ZHUANG Ketan TANG Nenghai YU Yangchun QIAN MOE-MS Key Laboratory of Multimedia Computing and Communication University of Science and Technology of ChinaHefei230027P.R.China

In this paper we propose a novel salient object de tection algorithm based on segments, named SODS (Salient Object Detection based on Segments). We first segment an input image, and then extract a sat of features including multi-scale contrast,center-surround histogram, and color spatial distribution based on segments to describe a salient object locally, regionally, and globally. These three features are then combined linearly to get a saliency map to rep resent the salient object. We validate our approach on two public datasets. Experimental results prove that our method is much faster, more robust and accurate than ex isting salient object detection methods.

关键词： Salient object detection Visual attention Segment

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A robust chaos-based image encryption scheme

A robust chaos-based image encryption scheme

引用

IEEE International Conference on multimedia and Expo (ICME)

作者： Weihai Li Nenghai Yu MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China

A DCT domain image encryption scheme based on chaotic shuffling table is proposed, in which the shuffling tables are generated by several logistic maps. This scheme is robust to normal image processing, such as noising, smoothing, compressing, and even print-scan processing. In this scheme, key space is easy to be adjusted by choosing the number of logistic maps. The encrypted image is still highly compressible since shuffling operation is confined in DCT equal-frequency coefficients. What is more, a random number, called nonce, is introduced to initialize initial values of logistic maps, which ensures that the proposed scheme can resist chosen-plain-text cryptanalysis.

关键词： Robustness Chaos Cryptography Logistics Chaotic communication Discrete cosine transforms Image coding Image processing Smoothing methods Security

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On cross-language image annotations

On cross-language image annotations

引用

IEEE International Conference on multimedia and Expo (ICME)

作者： Xiaoguang Rui Nenghai Yu Mingjing Li Lei Wu MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China

Automatic annotation of digital pictures is a key technology for managing and retrieving images from large image collections. Typical algorithms only deal with the problem of monolingual image annotation. In this paper, we propose a framework to deal with the problem of multilingual image annotation, which can annotate images in multiple languages. The framework can not only benefit users with different native languages, but also provide more accurate annotations. In this framework, image annotation is performed in two stages, including parallel monolingual image annotation and the fusion of annotation results in multiple languages. In the first stage, candidate annotations for each language are extracted by leveraging multilingual large scale Web image database. Due to the incompleteness and inaccuracy problem of candidate annotations, we proposed a multilingual annotation fusion algorithm (MAF). By modeling candidate annotations for each language as an n-partite graph, MAF algorithm can improve and re-rank multilingual annotations. Finally, annotations with the highest ranking values in each language are selected and translated as the result. Experimental results for English-Chinese image annotations demonstrate the effectiveness of the proposed framework.

关键词： Natural languages Training data Image retrieval Large-scale systems Laboratories multimedia computing Technology management Image databases Fusion power generation Fuses

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Learning probabilistic structure to group image edges for object extraction

Learning probabilistic structure to group image edges for ob...

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IEEE International Conference on multimedia and Expo (ICME)

作者： Yangyu Tao Lin Liang Yingqing Xu MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China Microsoft Research Asia Beijing China

We investigate exploiting the class specific information in the conventional perceptual edge grouping for the task of object extraction, since the domain information is usually available in practice. Instead of applying the classical Gestalt principles, we turn to learn a class specific probabilistic structure model from training images. During the learning, both geometrical and photometric features such as color and texture are fused. Experiments show the model is fairly robust to the intra-class variations of object as well as background clutters. Moreover, we design a novel saliency measure for the grouping based on the probabilistic structure model. The object extraction is formulated as an optimization problem which can be efficiently solved by the recently developed ratio contour algorithm. The effectiveness of the proposed method is demonstrated by the experiments on real images.

关键词： Boosting Asia Shape Decision trees Laboratories multimedia computing Fuses Probability distribution Design optimization Bayesian methods

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A high-performanance remote computing platform

A high-performanance remote computing platform

引用

IEEE International Conference on Pervasive computing and communications (PerCom)

作者： Huifeng Shen Yan Lu Feng Wu Shipeng Li MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China Internet Media Group Microsoft Research Asia Beijing China

The pervasive computing environment and the wide network bandwidth provide users more opportunities to utilize remote computing resources. In this paper, we introduce a high-performance remote computing platform to enable thin clients to access the applications in remote servers. Our system employs a compression-friendly model, where all the data redundancies are exploited in the compression viewport. Within this model, we also propose a unified coding scheme to efficiently compress the vast-spectral screens. Several mechanisms are further proposed to improve interactivity and reduce the bandwidth consumption in the system, including adaptive transmission for heterogeneous display devices. Simulations with real applications demonstrate that our system significantly outperforms previous thin-client systems. Especially for video playback under moderate- and low-bandwidth network conditions, our system can achieve the frame update rate 5 times as high as the previous counterparts.

关键词： Network servers Bandwidth Computer networks Pervasive computing Computer displays Web server Application software Software maintenance Codecs Middleware

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Improving security of an image encryption algorithm based on chaotic circular shift

Improving security of an image encryption algorithm based on...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Weihai Li Yuan Yuan MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China School of Engineering and Applied Science Aston University Birmingham UK

An image encryption algorithm based on chaotic circular bit shift is proposed recently. This paper analyses the security of this algorithm and point out that the key space is not as large as they alleged and the algorithm can not resist chosen-plaintext attack or difference attack. The amount of chosen-plaintexts to carry out an attack is very few. This paper also introduces two methods to improve its security by changing chaotic sequences generators, altering orders of permutation and substitution, and applying feedback link mode. The improved algorithm has variable key space and has very good avalanche effect to resist chosen-plaintext attacks, chosen-ciphertext attacks, or difference attacks. The computation cost of improved algorithm is very low.

关键词： Security Cryptography Chaos Streaming media Logistics Chaotic communication Resists Space technology Cybernetics USA Councils

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