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检索条件"机构=Computer Vision and Image Processing Laboratory Electrical and Computer Engineering"

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Web Document image Retrieval System Based on Word Spotting

Web Document Image Retrieval System Based on Word Spotting

引用

IEEE International Conference on image processing

作者： K. Zagoris N. Papamarkos C. Chamzas Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering Democritus University of Thrace Xanthi Greece

Nowadays, the huge non-indexing quantities of image archives (especially document images) require the development of intelligent tools for their retrieval with convenience comparable of the texts search engines. The proposed technique addresses the document retrieval problem by a word matching procedure. It performs matching directly in the images bypassing OCR and using word-images as queries. It is constituted of two different parts: The offline and the online operation. In the offline operation, the archive of document images is examined and the results are stored in a database. The online operation consists of the Web interface, the creation of the word's image and finally, the matching stage. The proposed matching process it can be described shortly as a two-threshold rating system. Finally, the proposed system has been build and it can be found in at the Web address: http://***/irs2.

关键词： image retrieval image databases Search engines Optical character recognition software Information retrieval Feature extraction Spatial databases image processing Multimedia systems Laboratories

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Backward Channel Aware Wyner-Ziv Video Coding

Backward Channel Aware Wyner-Ziv Video Coding

引用

IEEE International Conference on image processing

作者： Limin Liu Zhen Li Edward J. Delp School of Electrical and Computer Engineering Purdue University Video and Image Processing Laboratory West Lafayette IN USA

Wyner-Ziv video coding is a low complexity video encoding method that exploits source statistics at the decoder and shifts much of the computational complexity from the encoder to the decoder. Many Wyner-Ziv video coding schemes rely on the use of INTRA frames so that the decoder can derive sufficiently accurate side information. In this paper we extend our previous work on Wyner-Ziv coding that uses backward channel aware motion estimation. The basic idea is to perform motion estimation at the decoder and send the motion information back to the encoder through a backward channel. Experimental results show that this method can significantly improve the coding efficiency with a minimal use of the backward channel bandwidth. We also propose an error resilient technique by using error detection and adaptive coding to handle the situation when the backward channel is subject to erasure errors or delays.

关键词： Video coding Decoding Motion estimation image coding Extrapolation Noise reduction Interpolation image processing Statistics Computational complexity

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A New Technique for Solving a Jigsaw Puzzle

A New Technique for Solving a Jigsaw Puzzle

引用

IEEE International Conference on image processing

作者： M. Makridis N. Papamarkos Image Processing and Multimedia Laboratory Department of Electrical & Computer Engineering Democritus University of Thrace Xanthi Greece

A new technique for solving jigsaw puzzles is proposed, which takes advantage of both geometrical and color features. It is considered that an image is being divided into a number of pieces (sub-images). The proposed technique is based on extraction of a set of boundary characteristic points and on a Kohonen self-organized feature map (KSOFM) color reduction technique. For each characteristic point a set of color and geometrical features are extracted. The technique compares these sets of features and decides whether two sub-images match or not. When a matching pair has been found, a corrective procedure is applied in order for these sub-images to fit exactly. Next, the proposed technique creates a new sub-image, which consists of the two matched sub-images. The whole matching procedure is being repeated until only one sub-image remains or no more matching sub-images can be found.

关键词： image analysis Shape image restoration image processing Laboratories Color Feature extraction image matching image reconstruction Proteins

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A Secure Group Key Management Scheme for Wireless Cellular Networks

A Secure Group Key Management Scheme for Wireless Cellular N...

引用

International Conference on Information Technology: New Generations (ITNG)

作者： Hwayoung Um E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

In wireless networks, secure multicast protocols are difficult to implement efficiently due to the dynamic nature of the multicast group and scarcity of bandwidth at the receiving and transmitting ends. Mobility is one of the most distinct features to be considered in a wireless network. Moving users onto the key tree causes extra key management resources even though they are still in service. To take care of frequent handoff between wireless access networks, it is necessary to reduce the number of rekeying messages and the size of the messages. In this paper, we design a key management tree such that neighbors on the key tree are also physical neighbors on the cellular network. By tracking the user location, we localize the delivery of rekeying messages to the users who need them. This lessens the amount of traffic in wireless and wired intervals of the network. The group key management scheme uses a pre-positioned secret sharing scheme

关键词： Communication system security Land mobile radio cellular systems Wireless networks Multicast protocols Streaming media Cryptography Data security Access control computer networks Bandwidth

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Wyner-Ziv Video Coding using LDPC Codes

Wyner-Ziv Video Coding using LDPC Codes

引用

Proceedings of the Nordic Signal processing Symposium (NORSIG)

作者： Limin Liu Edward J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Wyner-Ziv video coding aims to design encoders based on the Slepian-Wolf and Wyner-Ziv distributed source coding theorems. In this coding scenario, source statistics are exploited at the decoder so that it is feasible to design simplified encoders. The shift of the computational complexity from the encoder to the decoder is suitable for emerging mobile multimedia applications. Many channel coding techniques are used for the construction of distributed video coding systems. In this paper we present a Wyner-Ziv video coding design using low-density parity-check (LDPC) codes. We also present a refined side estimator to further improve the decoded video quality. Experimental results are presented to demonstrate the rate-distortion performance of the method

关键词： Video coding Parity check codes Decoding image coding Rate-distortion Source coding Statistical distributions Computational complexity Mobile computing Channel coding

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A New Technique for Hand Gesture Recognition

A New Technique for Hand Gesture Recognition

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IEEE International Conference on image processing

作者： E. Stergiopoulou N. Papamarkos Department of Electrical & Computer Engineering Democritus University of Thrace Xanthi Greece Image Processing and Multimedia Laboratory Greece

A new method for hand gesture recognition is proposed which is based on an innovative self-growing and self-organized neural gas (SGONG) network. Initially, the region of the hand is detected by using a color segmentation technique that depends on a skin-color distribution map. Then, the SGONG network is applied on the segmented hand so as to approach its topology. Based on the output grid of neurons, palm geometric characteristics are obtained which in accordance with powerful finger features allow the identification of the raised fingers. Finally, the hand gesture recognition is accomplished through a probability-based classification method.

关键词： image segmentation Skin Fingers Chromium image recognition image analysis Neural networks Application software computer vision Hidden Markov models

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Multiresolution Object Recognition Using Dual Heuristic Programming

Multiresolution Object Recognition Using Dual Heuristic Prog...

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International Joint Conference on Neural Networks (IJCNN)

作者： F. Siddiqui K.M. Iftekharuddin Intelligent Systems and Image Processing Laboratory Department of Electrical and Computer Engineering University of Memphis Memphis TN USA

We present automatic target recognition (ATR) model based on principles of biological vision systems. The model employs reinforcement learning (RL) through Dual Heuristic Programming (DHP). The performance of the reported ATR model is compared to that of our previously reported ATR model, based on Heuristic Dynamic Programming (HDP). The HDP and DHP, known as the Adaptive Critic Designs (ACD), are neural network based implementation of Dynamic Programming (DP). The simulation shows promising results for both HDP and DHP based ATR model in presence of resolution distortion in incoming images and confirms that the DHP model is faster and more robust for our ATR system than the HDP.

关键词： Object recognition Learning Robustness Biological system modeling Machine vision Target recognition Dynamic programming Neural networks image resolution Nonlinear distortion

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Performance Evaluation of Subspace-based Algorithm in Selecting Differentially Expressed Genes and Classification of Tissue Types from Microarray Data

Performance Evaluation of Subspace-based Algorithm in Select...

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International Joint Conference on Neural Networks (IJCNN)

作者： J.S. Shaik M. Yeasin Computational Vision Pattern and Image Analysis Laboratory Department of Electrical and Computer Engineering University of Memphis Memphis TN USA

This paper presents the implementation and evaluation of subspace-based clustering algorithm for robust selection of differentially expressed genes as well as the classification of tissue types from microarray data. The performance of the proposed algorithm is compared against other well known clustering algorithms and the quality of clusters is evaluated using a number of cluster validation indices. Empirical analyses on a number of synthetic and real microarray data sets suggest that the proposed subspace-based algorithm is robust in selecting differentially expressed genes and performs significantly better compared to popular clustering algorithms in selecting differentially expressed genes and classifying different tissue types.

关键词： Clustering algorithms Robustness Algorithm design and analysis Data analysis Partitioning algorithms computer vision image analysis Performance analysis Biomedical imaging Diseases

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Analysis of P300 Classifiers in Brain computer Interface Speller

Analysis of P300 Classifiers in Brain Computer Interface Spe...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： H. Mirghasemi R. Fazel-Rezai M. B. Shamsollahi BDP laboratory Department of Electrical Engineering Sharif University of Technology Tehran Iran Brain Image and Signal Processing BISP Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

In this paper, the performance of five classifiers in P300 speller paradigm are compared. Theses classifiers are Linear Support Vector Machine (LSVM), Gaussian Support Vector Machine (GSVM), Neural Network (NN), Fisher Linear Discriminant (FLD), and Kernel Fisher Discriminant (KFD). In classification of P300 waves, there has been a trend to use SVM classifiers. Although they have shown a good performance, in this paper, it is shown that the FLD classifiers outperform the SVM classifiers. FLD classifier uses only ten channels of the recorded electroencephalogram (EEG) signals. This makes them a very good candidate for real-time applications. In addition, FLD approach does not need any optimization similar to other methods. In addition, in this paper, it is shown that the efficiency of using Principal Component Analysis (PCA) for feature reduction results in decreasing the time for the classification and increasing the accuracy

关键词： Brain computer interfaces Electroencephalography Support vector machines Support vector machine classification Principal component analysis Band pass filters Digital filters computer interfaces Cities and towns USA Councils

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High SNR flexible top hat monopole probe for 1.5 T MRI

High SNR flexible top hat monopole probe for 1.5 T MRI

引用

作者： Mohammadzadeh, M. Shahabadi, M. Soltanian-Zadeh, H. Tavakoli, A. Rafiei, B. Javidnia, D. Oghabian, M.A. Department of Physics Amir-Kabir University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Image Analysis Laboratory Department of Radiology Henry Ford Health System Detroit MI United States Department of Electrical Engineering Amir-Kabir University of Technology Tehran Iran Medical Imaging Center Imam Khomeyni Hospital Tehran Iran Research Center for Science and Technology in Medicine Tehran University of Medical Sciences Tehran Iran

In this paper, design principles and application of a thin and flexible intravascular top hat monopole probe with increased signal-to-noise ratio (SNR) and improved longitudinal and radial coverage are described and compared with the conventional monopole probe. The top hat probe is constructed by removing a segment of the shield of a coaxial cable. A flexible thin copper foil in contact with the inner conductor of the cable is added to the end section of the cable. The copper foil acts as an antenna top hat load increasing the uniformity of the current distribution on the probe and establishes a uniform region of SNR distribution around the probe. Improvement of the SNR distribution of the top hat probe relative to the conventional monopole probe is evaluated using quantitative indices. Experimental results show that for the top hat probe, the ratio of the maximum image SNR to its relative standard deviation (SR) is 2.73 times higher than that of a conventional probe. © 2006 IOP Publishing Ltd.

关键词： Medical imaging

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