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检索条件"任意字段=Conference on Visual Communications and Image Processing 2007"

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image-CODING FOR STORAGE AND TRANSMISSION BASED ON MORPHOLOGICAL SEGMENTATION

IMAGE-CODING FOR STORAGE AND TRANSMISSION BASED ON MORPHOLOG...

引用

conference on Video communications and PACS for Medical Applications

作者： TORRES, L SALEMBIER, P MARQUES, F HIERRO, P UPC ETSITDEPT SIGNAL THEORY & COMMUNBARCELONASPAIN

ISBN: (纸本)0819412236

The objective of the paper is to present a new object based image coding technique using morphological segmentation. These are the first results of a final objective of proposing a completely new coding/decoding scheme for storage and transmission applications based on Mathematical Morphology. The paper presents a new object based image coding algorithm that involves three main processing steps: segmentation, coding of contours and coding of the inside. The three fundamental coding steps of our approach work on a multiscale representation of the data. The coding of contours represents the shape and location of the region and is based on techniques relying on chain codes. The coding of inside consists in modeling the gray level function of the image and in filling each region with this model. Orthogonal polynomials are used for inside coding and bit allocation techniques are developed such that efficient compression rates are obtained. Several computer generated images are presented that show good visual results for a variety of different compression ratios. The techniques can also be applied to image sequences. Current research is under way to propose new coding techniques for both the contour and the inside coding using Mathematical Morphology.

关键词： image segmentation image compression image processing algorithms and systems Chromium image quality Feature extraction Mathematical morphology image processing Receivers visualization

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SIGNAL-ADAPTED TRANSFORM CODING OF SEQUENCES

SIGNAL-ADAPTED TRANSFORM CODING OF SEQUENCES

引用

Meeting on visual communications and image Communication 93

作者： MACQ, B COMES, S MERTES, JY QUELUZ, MP UNIV CATHOLIQUE LOUVAIN TELECOMMUN & TELEDETECT LABB-1348 LOUVAINBELGIUM

ISBN: (纸本)0819413690

In standard DCT coding schemes like MPEG, the sequences compression is achieved by motion compensation, transformation, quantization, and entropy coding. In this paper, we have followed the same path by adapting to the image signal the elements of the coding scheme. The motion compensation is achieved by a block-matching method, where the size of the blocks is adapted to the signal. Great attention has been paid to the relevance of the motion field. Combined with the motion compensation, the two fields of each frame are merged, taking into account the measured motion vectors, to compose a pseudo-progressive frame. The encoding is applied to this `motion-compensated progressive' frame. A wavelet decomposition is then applied on each (inter or intra) frame. Such a transform, intrinsically owning linear- phase and perfect reconstruction properties, has been optimized for maximizing a perceptually weighted coding gain. The wavelet coefficients are thereafter vector-quantized, in order to reach the maximum perceptual SNR : frequency weighting is taken into account. The relevance of the measured vector field allows a precise spatio-temporal quantization optimization. The vectors are entropy coded taking into account the remaining inter-band dependence, by an adapted entropy code. Results obtained from 1 Mbit/s to 8 Mbit/s are shown for moving sequences at the conference.

关键词： Motion estimation Motion measurement image compression Quantization Wavelets Binary data Linear filtering Optical filters Computer programming Signal to noise ratio

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HIERARCHICAL TRANSMISSION OF PICTURE-SIGNALS ON A MAN

HIERARCHICAL TRANSMISSION OF PICTURE-SIGNALS ON A MAN

引用

conference on Video communications and PACS for Medical Applications

作者： MACQ, B PISCAGLIA, P LALOUX, A UNIV CATHOLIQUE LOUVAIN B-1348 LOUVAINBELGIUM

ISBN: (纸本)0819412236

Picture archiving and communication systems (PACS) have to handle a lot of moving or still images services with different resolution levels (HDTV-like, TV-like and lower resolutions), quality requirements (from acceptable visual quality to lossless) and different priorities. In this paper we present a new system for the integration of hierarchical images transmission in a broadband network based on the DQDB protocol (IEEE 802.6 standard). This system is based on the combination of two new tools. First we have designed a multiresolution/multiquality image coding scheme based on wavelet transforms. The main original feature of the algorithm is that it allows a multiresolution lossless access to images. A greater compression ration is possible at the price of graceful degradations. Secondly, we have implemented an improved priority mechanism in the DQDB protocol. The aim was that, in case of network overload, the emissions lose quality but are always maintained. A simulation of the implementation of such a system for the handling of the communications inside a hospital is also presented.

关键词： image compression image resolution Quantization Picture Archiving and Communication System Wavelet transforms Signal processing visualization Surveillance Telecommunications Scanners

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MICROPROCESSOR OPEN VISION ENVIRONMENT (MOVE)

MICROPROCESSOR OPEN VISION ENVIRONMENT (MOVE)

引用

conference on Computer Vision for Industry

作者： SKORDAS, T DEPAOLI, S ITMI (France) GEC (United Kingdom) INRIA (France) AIVRU (United Kingdom) LTIRF-INPG (France)

ISBN: (纸本)0819412384

MOVE is one of the ESPRIT III OMI feasibility studies projects is Vision/Robotics for industrial applications. The objective of MOVE is to study a modular environment specifically designed for the field of Computer Vision, which permits the integration of heterogeneous processors and of specific software. This environment is open -- it allows integration of existing and future processors, actuators and visual sensors -- and it facilitates communication with the external world. It is used directly in the design of a set of industrial vision applications which correspond to real requirements and therefore it facilitates product development and make it cost effective. There are many areas of industry and commerce where application of machine vision would make an important impact on productivity and product quality, but the progress has been slow because of the lack of a suitable high-performance low-cost hardware. This paper gives some elements on how MOVE intends to provide the needed solution.

关键词： Machine vision Telecommunications Software development Algorithm development Computer vision technology Data communications Operating systems Standards development Digital signal processing image processing

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Block adaptive 3-D subband coding of image sequences

Block adaptive 3-D subband coding of image sequences

引用

IEEE International conference on communications (ICC)

作者： W. Li M. Kunt Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

A video coding method is proposed which is based on 3-D subband decomposition and adaptive selection of small blocks in each subband. The influence of energy threshold and block size on the coding performance is discu... 详细信息

关键词： image coding image sequences Filter bank Humans Discrete cosine transforms Band pass filters Pixel Block codes Adaptive signal processing Video signal processing

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Improvements on stochastic vector quantization of images

Improvements on stochastic vector quantization of images

引用

1993 IEEE International conference on Acoustics, Speech, and Signal processing

作者： L. Torres J. Salillas Department of Signal Theory and Communications UPC Barcelona Spain

A novel nonadaptive fixed-rate vector quantizer encoding scheme is presented, and preliminary results are shown. The design of the codebook has been based on a stochastic approach in order to match a previously defined model for the image to be encoded. Following this approach, the generation of the codebook is made extremely simple in terms of computational load. Good visual results are shown in the range of 0.5-0.8 bit/pixel. Much better performance is expected for adaptive schemes.< >

关键词： Stochastic processes Vector quantization Clustering algorithms Speech coding image coding Process design Algorithm design and analysis Statistics Pixel Code standards

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A computational model of neural contour processing: Figure-ground segregation and illusory contours

A computational model of neural contour processing: Figure-g...

引用

International conference on Computer Vision (ICCV)

作者： F. Heitger R. von der Heydt Communication Technology Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Neurology University Hospital Zurich Zurich Switzerland

The detection of occluding contours in images of 3-D scenes is a fundamental problem of vision. The authors present a computational model of contour processing that was suggested by neurophysiological recordings from the monkey visual cortex. The model uses convolutions and nonlinear operations, but no feedback loops. Contours are defined by the local maxima of the responses of a contour operator that sums a representation of contrast borders and a grouping signal. The grouping consists of convolving a representation of key-points, such as T-junctions, corners, and line ends, with a set of orientation selective kernels, and a nonlinear pairing operation. The grouping scheme is selective based on whether the configuration of key-points is consistent with the interpretation of occlusion. The resulting contour representation includes an indicator of figure-ground direction. It is shown that the model reproduces illusory contours in accurate agreement with perception and generates representations of occluding contours on images of natural scenes that are more complete and less cluttered by spurious connections of foreground and background than those obtained by conventional edge detection operators.< >

关键词： Computational modeling Layout Brain modeling Feedback loop image edge detection communications technology Laboratories Nervous system Hospitals Kernel

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MULTIPOINT TELEconference ARCHITECTURE FOR CCITT STANDARD VIDEOconference TERMINALS

MULTIPOINT TELECONFERENCE ARCHITECTURE FOR CCITT STANDARD VI...

引用

1992 ANNUAL CONF ON visual communications AND image processing

作者： OKA, S MISAWA, Y Mitsubishi Communication Systems Lab. Kanagawa Japan

ISBN: (纸本)0819410187

In this paper we describe an architecture and an implementation method for multipoint teleconference systems as one of the most important applications of image communications. We studied a centralized architecture using Multipoint Control Units (MCUs) as service providers. In order to apply this architecture to large-scale systems we adopted a hierarchical star configuration for inter-MCUs connections. Also we have developed a composite mechanism of international standard protocols and our original protocol for high performance services. We have built a prototype teleconference system which can provide a variety of services including several procedures for opening conferences and various types of conference modes. These services can be used not only by our original videoconference terminals but also by international standard terminals and ordinary audio telephones.

关键词： Teleconferencing

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STOCHASTIC VECTOR QUANTIZATION OF imageS

STOCHASTIC VECTOR QUANTIZATION OF IMAGES

引用

INTERNATIONAL CONF ON ACOUSTICS, SPEECH AND SIGNAL processing

作者： TORRES, L ARIAS, E Dept. of Signal Theory and Communications ETSIT UPC P.O. Box 30.002 Barcelona 08080 Spain

ISBN: (纸本)0780305329

The vector quantization scheme has proven to be very effective in speech and image coding. One of the most important steps in the whole process is the design of the codebook. The codebook is generally designed using the LBG algorithm, that is in essence a clustering algorithm which uses a large training set of empirical data that is statistically representative of the image to be quantized. The problem that we are addressing in the paper is the stochastic generation of the codebook. Our approach is to model the codebook according to some previous model defined for the image to be encoded and then to generate the training set according to the same model and not according to some specific data sequence. The model used is the well known autoregressive model (AR). Good visual results are shown in the range of 0.5-0.8 bist/pixel. © 1992 IEEE.

关键词： Vector quantization

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Applying neural networks to colour image data compression 21

Applying neural networks to colour image data compression

引用

1992 IEEE Region 10 International conference on Technology Enabling Tomorrow: Computers, communications and Automation towards the 21st Century, TENCON 1992

作者： Godfrey, K.R.L. Attikiouzel, Y. Centre for Intelligent Information Processing Systems Department of Electrical and Electronic Engineering University of Western Australia Nedlands6009 Australia

ISBN: (纸本)0780308492

A self-organizing neural network is used to achieve color image segmentation and image data compression, with an adaptive codebook for faster training. Neural network architectures are well-suited to high speed processing because they are massively parallel. By adding an external threshold decision, a compression network can build its codebook adaptively and therefore speed the compression process. A 24-bit color image is compressed to 6.39 bit with virtually no visual degradation. © 1992 IEEE.

关键词： Color

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