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检索条件"机构=Parallel Processing Laboratory Department of Electrical and Computer Engineering"

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Region-based color image indexing and retrieval

Region-based color image indexing and retrieval

引用

IEEE International Conference on Image processing

作者： I. Kompatsiaris E. Triantafillou M.G. Strintzis Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

A region-based color image indexing and retrieval algorithm is presented. As a basis for the indexing, a novel K-Means segmentation algorithm is used, modified so as to take into account the coherence of the regions. A new color distance is also defined for this algorithm. Based on the extracted regions, characteristic features are estimated using color, texture and shape information. An important and unique aspect of the algorithm is that, in the context of similarity-based querying, the user is allowed to view the internal representation of the submitted image and the query results. Experimental results demonstrate the performance of the algorithm. The development of an intelligent image content-based search engine for the World-Wide Web is also presented, as a direct application of the presented algorithm.

关键词： Color Indexing Image retrieval Information retrieval Image segmentation Data mining Feature extraction Shape Search engines Web sites

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Robust layered coding of video for transmission over noisy channels

Robust layered coding of video for transmission over noisy c...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： N.V. Boulgouris A. Leontaris N. Thomos M.G. Strintzis Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)0780366859

A novel robust scheme is presented, for the efficient transmission of image sequences over unreliable channels. The proposed scheme is based on an efficient error-resilient wavelet video coder and is able to produce embedded bitstreams. The robust coder is evaluated for the transmission of image sequences over binary symmetric channels and is shown to have very promising performance.

关键词： Robustness Motion compensation Decoding Image reconstruction Image sequences Source coding Error correction codes Motion estimation Laboratories Informatics

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A compound Bayes test for detection of occlusion and visible background and foreground areas in stereo

A compound Bayes test for detection of occlusion and visible...

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International Workshop on Digital and Computational Video (DCV)

作者： G.A. Triantafyllidis D. Tzovaras M.G. Strintzis Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Informatics and Telematics Institute Thessaloniki Greece

ISBN: (纸本)0769511104

An efficient technique based on the Bayes test is introduced in this paper, for the identification of the occlusion and visible background and foreground areas in a noisy stereoscopic image pair. Four hypotheses are used for the formulation of compound Bayes decision rules. Experimental results illustrating the performance of the proposed techniques are presented and evaluated.

关键词： Testing Pixel Gaussian noise Additive white noise Stereo vision Cameras Information processing Laboratories Background noise Data compression

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MPEG-4 authoring tool for the composition of 3D audiovisual scenes

MPEG-4 authoring tool for the composition of 3D audiovisual ...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： P. Daras I. Kompatsiaris T. Raptis M.G. Strintzis Informatics and Telematics Institute Thessaloniki Greece Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)0780366859

Bringing much new functionality, MPEG-4 offers numerous capabilities and is expected to be the future standard for multimedia applications. In this paper a novel authoring tool fully exploiting the 3D functionalities of the MPEG-4 standard is described. It is based upon an open and modular architecture able to progress with MPEG-4 versions and it is easily adaptable to newly emerging better and higher-level authoring features.

关键词： MPEG 4 Standard Layout Streaming media Telematics Application software Transform coding MPEG 7 Standard MPEG standards Video compression Scalability

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An overview of security issues in streaming video

An overview of security issues in streaming video

引用

International Conference on Information Technology: Coding and Computing (ITCC)

作者： E.T. Lin G.W. Cook P. Salama E.J. Delp Video and Image Processing Laboratory(VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Electrical and Computer Engineering Purdue School of Engineering and Technology Purdue University Indiana University Indianapolis IN USA

The article describes some of the security issues in streaming video over the Internet. If high quality video sequences are to be delivered to computers and digital television systems over the Internet in our "di... 详细信息

ISBN: (纸本)0769510620

关键词： Streaming media Video compression Bandwidth Internet Protection Decoding Security Video sequences IP networks Authentication

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Hidden Markov model approaches to hyperspectral image classification

Hidden Markov model approaches to hyperspectral image classi...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Qian Du Chein-I Chang Department of Electrical Engineering and Computer Science Texas A and M University Kingsville TX USA Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

In this paper, we present a hidden Markov model (HMM) approach to hyperspectral image classification. HMMs have been widely used in speech recognition to model a doubly stochastic process with a hidden state process that can be only observed through a sequence of observations. Since the temporal variability of a speech signal is similar to the spectral variability of a remotely sensed image pixel vector, the same idea can be applied to hyperspectral image classification. It makes use of a hidden Markov process to characterize the spectral correlation and band-to-band variability where the model parameters are determined by the spectra of the pixel vectors that form the observation sequences. Experiments demonstrate that the HMM can better describe the unobserved spectral properties so as to improve classification performance.

关键词： Hidden Markov models Image classification

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Real-time processing of an unsupervised constrained linear spectral unmixing algorithm

Real-time processing of an unsupervised constrained linear s...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： D.C. Heinz Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

Most spectral unmixing techniques require complete a priori knowledge of spectral endmembers in an image scene to be implemented. This knowledge is usually obtained from a complete hyperspectral image scene in either a supervised or unsupervised fashion, which prohibits real-time implementation. In this paper, we present a unique constrained spectral unmixing technique, which develops this knowledge in real-time on a pixel-by-pixel basis. Experiments using HYDICE data were conducted to demonstrate this proposed real-time approach for target detection and classification in hyperspectral imagery. Small modifications to the real-time algorithm were made in the experimental section to alleviate practical problems associated with a true pixel-by-pixel implementation.

关键词： Hyperspectral sensors Layout Hyperspectral imaging Object detection computer displays Remote monitoring Image sensors Remote sensing Signal processing Image processing

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Discrimination measures for target classification

Discrimination measures for target classification

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shao-Shan Chiang Chein-I Chang Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

Target detection does not necessarily yield target classification since the detected targets may belong to different classes and cannot be differentiated one from another by target detection. This often occurs when no prior target knowledge is available. In order to resolve this dilemma, four measures are proposed for target discrimination in this paper, two of which are designed based on the Bhattacharyya distance and the other two are derived from the concept of the matched filter. They will be used to cluster the detected anomalies into different types of targets in an unsupervised manner. These four target discrimination measures take advantage of the second-order statistics of the image data to account for sample spectral correlation. Consequently, they all outperform the commonly used single-pixel based similarity measures, such as spectral angle mapper (SAM), Euclidean distance. An experiment-based quantitative study is conducted for their performance evaluation. Interestingly, all these four measures perform very similarly.

关键词： Covariance matrix Matched filters Signal processing Object detection Remote sensing Image processing Laboratories computer science Statistics Euclidean distance

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Discovery of parallel scheduling algorithms in cellular automata - based systems 15

Discovery of parallel scheduling algorithms in cellular auto...

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15th International parallel and Distributed processing Symposium, IPDPS 2001

作者： Seredyński, F. Świȩcicka, A. Zomaya, A.Y. Polish -Japanese Institute of Information Technologies Koszykowa 86 Warsaw02-008 Poland Institute of Computer Science Polish Academy of Sciences Ordona 21 Warsaw01-237 Poland Department of Computer Science Bialystok University of Technology Wiejska 45A Bialystok15-351 Poland Parallel Computing Research Laboratory Department of Electrical and Electronic Engineering University of Western Australia Nedlands PerthWA6907 Australia

ISBN: (纸本)0769509908

In this paper we report new results concerning developing parallel multiprocessor scheduling algorithms working in cellular automata (CAs) - based scheduler. We consider the simplest case when a multiprocessor system is limited to two processors, but we not imply any limitations on a size and parameters of parallel programs. We use an approach called a selected neighborhood to design a nonlinear structure of CAs for a given program graph. We propose to use coevolutionary genetic algorithm (GA) to discover rules of parallel CAs, suitable for solving the scheduling problem. We compare sequential and parallel scheduling algorithms discovered in the context of CAs - based scheduling system. © 2001 IEEE.

关键词： Cellular automata

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FM halftoning via block error diffusion

FM halftoning via block error diffusion

引用

IEEE International Conference on Image processing

作者： N. Damera-Venkata B.L. Evans Halftoning and Image Processing Group Hewlett Packard Laboratories Palo Alto CA USA Embedded Signal Processing Laboratory Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

Error diffusion halftoning is a popular method of producing frequency modulated (FM) halftones. In FM halftoning the dot size and shape is fixed (equal to one pixel) and the dot frequency is varied in accordance to the graylevel values of the underlying grayscale image. We generalize error diffusion to produce FM halftones with user controlled dot size and shape using block quantization and a block filter in the feedback loop. We call this modified quantization and feedback process block error diffusion. The block filters are designed from well known scalar error filter prototypes and retain their properties. Further, we show that choosing a structured block filter results in an efficient parallel implementation of block error diffusion.

关键词： Frequency modulation Filters Shape control Quantization Pixel Gray-scale Error correction Size control Feedback loop Prototypes

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