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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： I. Koprinska S. Carrato Indian Institute of Technology Bangalore Sofia Bulgaria Department of Electrical Engineering and Computer Science (D.E.E.I.) Image Processing Laboratory University of Trieste Trieste Italy

An approach for parsing MPEG compressed video into shots and sub-shots based only on the macroblock (MB) and motion vector (MV) information is presented. The system follows a two-pass scheme and has a hybrid rule-based/neural structure. A rough scan over the P frames locates the potential shot boundaries and the solution is then refined by a precise scan over the B frames of the respective neighborhoods. The "simpler" boundaries are recognized by the rule-based module, while the decisions for the "complex" ones are refined by the neural part. The latter is also used to distinguish dissolves from object and camera motions and to break the shots into sub-shots. The experiments demonstrate high speed and accuracy in shot detection and their characterization.

关键词： Video compression Transform coding Cameras Image coding Image reconstruction Image segmentation Gunshot detection systems Histograms Image processing Laboratories

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parallel algorithms for simultaneous scheduling, binding and floorplanning in high-level synthesis

Parallel algorithms for simultaneous scheduling, binding and...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： P. Prabhakaran P. Banerjee Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois Urbana-Champaign IL USA Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University Evanston IL USA

With small device features in submicron technologies, interconnection delays play a dominant part in cycle time. Hence, it is important to consider the impact of physical design during high level synthesis. In comparison to a traditional approach which separates high-level synthesis from physical design, an algorithm which is able to make these stages interact very closely, would result in solutions with lower latency and area. However, such an approach could result in increased runtimes. parallel processing is an attractive way of reducing the runtimes. In this paper, two parallel algorithms for simultaneous scheduling, binding and floorplanning algorithm are presented. A detailed hardware model is considered, taking into account multiplexor and register areas and delays. Experimental results are reported on an IBM SP-2 multicomputer, with close to linear speedups for a set of benchmark circuits.

关键词： parallel algorithms High level synthesis Runtime Integrated circuit interconnections Delay effects Algorithm design and analysis parallel processing Scheduling algorithm Hardware Registers

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Twin-image removal by digital filtering and optical scanning holography

Twin-image removal by digital filtering and optical scanning...

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Southeastern Symposium on System Theory

作者： Taegeun Kim Ting-Chung Poon G. Indebetouw Optical Image Processing Laboratory Bradely Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA Physics Department Virginia Polytechnic Institute and State University Blacksburg VA USA

We propose an adjusted digital filtering method to overcome the Nyquist limitation of the iterative algorithm used to eliminate the twin image and demonstrate its advantages over existing algorithms. We also have appl... 详细信息

关键词： Optical filters Holographic optical components Digital filters Filtering Holography Image reconstruction Bandwidth Optical noise Optical recording Convolution

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Normal mammogram analysis and recognition

Normal mammogram analysis and recognition

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IEEE International Conference on Image processing

作者： Sheng Liu C.F. Babbs E.J. Delp Department of Basic Medical Sciences School of Veterinary Medicine Purdue University West Lafayette IN USA Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

Presents a novel approach to the problem of computer aided analysis of digital mammograms for breast cancer detection: namely, the development of algorithms to recognize unequivocally normal mammograms. First, the authors eliminate amorphous "clouds" or "blobs" in mammograms produced by normal glandular tissue of varying density using local average subtraction. Then the authors identify and remove normal connective tissue markings based on a set of specially designed line detectors. Any abnormality that may exist in the mammogram is therefore enhanced in the residual image, which makes the decision regarding the normality of the mammogram, much easier.

关键词： Lesions Biomedical imaging Medical diagnostic imaging Breast Cancer Tumors Image processing Laboratories Biomedical engineering computer aided analysis

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A Region-Based Representation of Images in MARS

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Journal of VLSI Signal processing Systems for Signal, Image, and Video Technology 1998年第1-2期20卷 137-150页

作者： Servetto, Sergio D. Rui, Yong Ramchandran, Kannan Huang, Thomas S. Beckman Inst. Adv. Sci. and Technol. Univ. Illinois at Urbana-Champaign Urbana IL 61801 United States Universidad Nacional de La Plata Argentina Univ. Illinois at Urbana-Champaign United States Comp. Res. Adv. Applications Group IBM Argentina Argentina Image Formation and Processing Group Beckman Institute UIUC United States Department of Computer Science UNLP Argentina Dept. of Elec. and Comp. Engineering UIUC United States Multimedia Commun. Res. Department Bell Laboratories Murray Hill NJ United States Info. Sciences Research Department AT and T Labs. Florham Park NJ United States Department of Computer Science UIUC United States Southeast University China Tsinghua University China University of Illinois Urbana-Champaign IL United States Image Formation and Processing Group Beckman Inst. Advance Sci. Technol. UIUC United States Vis. Technol. Grp. of Microsoft Res. Redmond WA United States City College of New York United States Columbia University United States AT and T Bell Labs. United States Ctr. for Telecommunications Research Columbia University United States Elec. and Comp. Eng. Department United States Beckman Institute Coordinated Science Laboratory IL United States IEEE Signal Processing Society United States IEEE IMDSP Technical Committee United States IEEE Transactions on Image Proc. United States National Taiwan University Taipei Taiwan Massachusetts Inst. of Technology Cambridge MA United States Department of Electrical Engineering MIT United States School of Electrical Engineering United States Lab. for Info. and Signal Processing Purdue University United States Dept. of Elec. and Comp. Engineering United States Coordinated Science Laboratory United States Image Formation and Processing Group Beckman Inst. Adv. Sci. and Technol. United States MIT Lincoln Laboratory IBM Thomas J. Watson Research Center Rheinishes Landes Museum Bonn Germany Swiss Institutes of Technology Zurich Switzerland Swiss Institutes of Technology Lausanne S

We study the problem of representing images within a multimedia Database Management System (DBMS), in order to support fast retrieval operations without compromising storage efficiency. To achieve this goal, we propose new image coding techniques which combine a wavelet representation, embedded coding of the wavelet coefficients, and segmentation of image-domain regions in the wavelet domain. A bitstream is generated in which each image region is encoded independently of other regions, without having to explicitly store information describing the regions. Simulation results show that our proposed algorithms achieve coding performance which compares favorably, both perceptually and objectively, to that achieved using state-of-the-art image/video coding techniques while additionally providing region-based support.

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Object-based coding of stereo image sequences using three-dimensional models

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 1997年第6期7卷 892-905页

作者： Malassiotis, S Strintzis, MG Information Processing Laboratory Department of Electrical and Computer Engineering University of Thessaloniki Thessaloniki Greece

An object-based stereo image coding algorithm is proposed. The algorithm relies on modeling of the object structure using 3-D wire-frame models and motion estimation using globally rigid and locally deformable motion models. Algorithms for the estimation of motion and structure parameters from stereo images are described. Motion parameters are used to construct predicted images by mapping the image texture on the object surface. Coding of object parameters, appearing background regions, and prediction errors are investigated, and experimental results with standard stereo image sequences depicting general scenes are presented. The proposed algorithm is seen to be very efficient for applications such as stereoscopic video transmission. Furthermore, it is especially well suited to advanced applications such as generation and transmission of intermediate views for multiview receiver systems and applications in which object-wise editing of the bit stream is required. The latter include video production using preanalyzed scenes and virtual reality applications.

关键词： 3-D models object-based coding stereo sequences

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Optimization of quadtree segmentation and hybrid two-dimensional and three-dimensional motion estimation in a rate-distortion framework

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1997年第9期15卷 1726-1738页

作者： Tzovaras, D Vachtsevanos, S Strintzis, MG Department of Electrical and Computer Engineering Information Processing Laboratory Aristotle University of Thessaloniki Thessaloniki Greece

A rate-distortion framework is used to define a very low bit-rate coding scheme based on quadtree segmentation and optimized selection of motion estimators, This technique achieves maximum reconstructed image quality under the constraint of a target bit rate for the coding of the vector field and segmentation information, First, a complete scheme is proposed for hybrid two-dimensional (2-D) and three-dimensional (3-D) motion estimation and compensation, The quadtree object segmentation is optimized for hybrid motion estimation in the rate-distortion sense, This scheme adapts to the depth of the quadtree and the technique used for motion estimation for each leaf of the tree. A more sophisticated technique, adapted to the requirements of a very low bit-rate coder, is also proposed which also considers the transmission of the prediction error corresponding to the particular choice of the motion estimator, Based on these coding schemes, two versions of a very low bit-rate image sequence coder are developed, Experimental results illustrating the performance of the proposed techniques in very low bit-rate image sequence coding application areas are presented and evaluated.

关键词： hybrid 2-D and 3-D motion estimation quadtree segmentation rate-distortion theory very low bit-rate coding

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Monitoring functions on global states of distributed programs

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JOURNAL OF parallel AND DISTRIBUTED COMPUTING 1997年第2期41卷 173-189页

作者： Tomlinson, AI Garg, VK Parallel and Distributed Systems Laboratory Department of Electrical and Computer Engineering 4 The University of Texas at Austin Austin Texas 78712

The domain of a global function is the set of all global states of an execution of a distributed program, We show how to monitor a program in order to determine if there exists a global state in which the sum x(1) + x(2) +...+ x(N), exceeds some constant K, where x(i) is defined in process i. We examine the cases where x(i) is an integer variable for N = 2 and where x(i) is a boolean variable for general N, For both cases we provide algorithms, prove their correctness, and analyze their complexity. (C) 1997 Academic Press.

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Coding of video-conference stereo image sequences using 3D models

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SIGNAL processing-IMAGE COMMUNICATION 1997年第2期9卷 125-135页

作者： Malassiotis, S Strintzis, MG Information Processing Laboratory Department of Electrical and Computer Engineering University of Thessaloniki Thessaloniki 540 06 Greece

In this paper we propose an object-based stereo image coding algorithm. The algorithm relies on modeling of the object structure using 3D wire-frame models, and motion estimation using globally rigid and locally deformable motion models. Algorithms for the estimation of motion and structure parameters from stereo images are described. Motion parameters are used to construct predicted images at subsequent time instances by mapping the image texture on the object surface. Coding of object parameters, appearing background regions and prediction errors is investigated and experimental results with video-conference scenes are presented. The proposed algorithm is very efficient for applications like stereoscopic video transmission, and is especially suited to advanced applications such as generation and transmission of intermediate views for multiview receiver systems, as well as applications in which an object-wise editing of the bit-stream is required, such as video-production using preanalysed scenes or virtual reality applications.

关键词： stereo synthetic and natural hybrid coding 3D model coding

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Model-based joint motion and structure estimation from stereo images

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computer VISION AND IMAGE UNDERSTANDING 1997年第1期65卷 79-94页

作者： Malassiotis, S Strintzis, MG Information Processing Laboratory Department of Electrical and Computer Engineering University of Thessaloniki Thessaloniki 540 06 Greece

In this paper we integrate motion and structure estimation in order to exploit their coherence. We propose an algorithm that uses models for object surfaces and their motion and estimates the model parameters using the image intensity matching criterion. The visible scene surface is represented with a parametrically deformable, spatially adaptive, wireframe model. Object motion is first modeled using the well-known rigid motion assumption along with the quaternion rotation representation. Nonrigid motion modeling using the finite element technique is also investigated as an alternative to rigid motion modeling or as a refinement of it. A functional containing image matching and surface smoothness constraints is minimized with respect to the unknown model parameters. A discontinuity detection scheme allowing deactivation of smoothness constraints across object boundaries, is investigated. A regularization scheme using a coarse to fine strategy is employed. (C) 1997 Academic Press.

关键词： Stereo vision

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