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检索条件"任意字段=Conference on Visual Communications and Image Processing 2002"

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VHDL design for hardware assistance of fractal image compression

VHDL design for hardware assistance of fractal image compres...

引用

conference on visual communications and image processing 2001

作者： Erickson, AJ Shaaban, ME Hsu, KW Czernikowski, RS IBM Microelect Essex Jct VT USA

ISBN: (纸本)0819439886

Fractal image compression has several useful properties, including resolution independence, high compression ratios, rapid decoding, and subjectively good image quality. Despite this, its adoption has been limited, largely because of the very high computational burden of compression. In this paper, an original ASIC design is described which performs the comparisons required for fractal image compression of grayscale images. The design is based around a pipeline of many individual block comparison units through which the set of domain blocks are propagated. Each unit performs the required comparisons between a single range block and the series of domain blocks, and stores the best possible match. The ASIC is designed using synthesizable VHDL, allowing it to be targeted to virtually any digital technology. The small portions of the design which are specific to a particular application or technology, such as the bus interfaces and memory blocks, have been kept separate from the application-independent portions of the design. Simulations of the design suggests that an actual hardware implementation would be about one thousand times faster than a general purpose microprocessor based on similar IC technology, reducing the time required to optimally compress a 256 x 256 image using 8 x 8 range blocks from a few minutes to a fraction of a second.

关键词： fractal image compression VHDL ASIC fractal image coding image compression image processing

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Extracting meaningful regions for content-based retrieval of image and video

Extracting meaningful regions for content-based retrieval of...

引用

conference on visual communications and image processing 2001

作者： Luo, Y Zhang, YJ Gao, YY Yang, WP Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China

ISBN: (纸本)0819439886

Meaningful region is the intermediate level between the original image and the interesting object of image. This level is an effective visual level for the representation of images and the successful extraction of meaningful regions from images helps to perform semantic segmentation. This paper proposes a scheme for roughly extracting meaningful regions in an image. By using multi-dimensional low-level feature analysis the local level of reliability of different features can be determined in order to adaptively weight the contribution of each feature to the segmentation process. Since the large variance of one feature always indicates that this feature would distinguish different objects clearly, a new weighted non-parametric clustering algorithm in the density space is implemented with suitably decided weights for different features. This permits us to utilize all. the features efficiently and to extract semantic meaning from images. The above technique is proposed along with a retrieval application of landscape images. In this application, the object recognition plays an important role. The meaningful regions extracted should be merged into objects and more subtly semantic meaning could be obtained. Experiments on extracting meaningful regions both from still images and video clips are carried out with some satisfactory results.

关键词： image segmentation meaningful region feature object recognition semantic content-based image retrieval

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Developing an integrated video analysis system

Developing an integrated video analysis system

引用

conference on visual communications and image processing 2001

作者： Mittal, A Cheong, LF Natl Univ Singapore Dept Elect & Comp Engn Vision & Image Proc Lab Singapore 117576 Singapore

ISBN: (纸本)0819439886

Matching the similarity between two units of data occurs as a frequent task in video or image analysis. The parameters of matching techniques are level of abstraction of features, distance measures and normalization of features, if supported, or else the method of relatively weighing the features. Most multimedia analysis systems employ only low level features with distance measures similar to Euclidean distance, with no method to automatically generate the weights of the features and thus are ineffective in replenishing suitable matches to the user's demands. We argue for shifting the burden of mapping the feature space with relevant categories from the user to the multimedia analysis system. In this paper, a Bayesian Framework is presented where the evaluation of the parameters of classification and especially the relevancy of each feature with respect to each class is performed automatically. The probabilistic framework is extended to work well for generalized multi-modal distribution of a particular class over the feature space. Theoretical foundation is developed to provide simultaneously existing multiple views to an image or a video sequence. The low-level features can be synthesized with intelligent association to furnish high-level features, which could be more meaningful to the user. The significance of this work is presented by comparing with a system which employs a unsophisticated approach similar to common systems where feature vector of query image and feature vector of template image are compared by means of weighted Euclidean distance. The superiority of our approach is presented over the database consisting of 300 video sequences comprising of diverse video classes.

关键词： high level categories Bayesian Networks meaningful feature evaluation mapping partially specified querying similarity measures matching techniques multiple label assignment

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Efficient implementation of video post-processing algorithms on the BOPS parallel architecture

Efficient implementation of video post-processing algorithms...

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： Petrescu, D BOPS Inc Chapel Hill NC 27514 USA

ISBN: (纸本)0780370414

Deblocking and deringing are two video post-processing techniques largely used to remove coding artifacts and improve the visual quality when rendering low bit rate coded video. The algorithms used to achieve these tasks are computationally intensive and usually require high speed processors to be able to run in real time. Efficient implementations of signal adaptive filters for video post-processing can be obtained using the specialized features of the parallel BOPS(R) DSP cores. The performance achieved by deblocking and deringing CIF and SDTV size video sequences on the MANTA(TM) prototype chip are illustrated. It is shown that such complex tasks may be executed at low clock rates using the BOPS ManArray(TM) technology.

关键词： Video signal processing

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Local bandwidth constrained fast inverse motion compensation for DCT-domain video transcoding

Local bandwidth constrained fast inverse motion compensation...

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IEEE International conference on Acoustics, Speech, and Signal processing

作者： Liu, S Bovik, AC Laboratory for Image and Video Eng. Dept. of Elec. and Comp. Engineering The University of Texas at Austin Austin TX 78712-1084 United States

ISBN: (纸本)0780370414

DCT-based digital video coding standards such as MPEG and H.26x are becoming more widely adopted for multimedia applications. Since the standards differ in their format and syntax, video transcoding, where a pre-coded video bit-stream is converted from one format to another format, is of interest for purposes such as channel bandwidth adaptation and video composition. DCT-domain video transcoding is generally more efficient than spatial domain transcoding. However, since the data is organized block by block in the DCT-domain, inverse motion compensation becomes the bottleneck for DCT-domain methods. In this paper, we propose a novel local bandwidth constrained fast inverse motion compensation algorithm operating in the DCT-domain. Relative to Chang's algorithm [1], the proposed algorithm achieves computational improvement of 25% to 55% without visual degradation. A by-product of the proposed algorithm is a reduction of blocking artifacts in very low bit-rate compressed video sequences.

关键词： Motion compensation

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A research environment for developing and testing object tracking algorithms

A research environment for developing and testing object tra...

引用

conference on visual communications and image processing 2001

作者： Schoepflin, T Lau, C Garg, R Kim, DL Kim, YM Univ Washington Dept Bioengn Image Comp Syst Lab Seattle WA 98195 USA

ISBN: (纸本)0819439886

We present an integrated research environment (RAVEN) that we have developed for the purpose of developing and testing object tracking algorithms. As a Windows application, RAVEN provides a user interface for loading and viewing video sequences and interacting with the segmentation and object tracking algorithms, which are included at run time as plug-ins. The plug-ins interact with RAVEN via a programming interface, enabling algorithm developers to concentrate on their ideas rather than on the user interface. Over the past two years, RAVEN has greatly enhanced the productivity of our researchers, enabling them to create a variety of new algorithms and extend RAVEN's capabilities via plug-ins. Examples include several object tracking algorithms, a live-wire segmentation algorithm, a methodology for the evaluation of segmentation quality, and even a mediaprocessor implementation of an object tracker. After implementing an algorithm RAVEN makes it easy to present the results since it provides several mask display modes and output options for both image and video. We have found that RAVEN facilitates the entire research process, from prototyping an algorithm to visualization of the results to a mediaprocessor implementation.

关键词： algorithm development environment dynamic programming image segmentation interactive systems object tracking video segmentation

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Lossless and near-lossless image compression with successive refinement

Lossless and near-lossless image compression with successive...

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conference on visual communications and image processing 2001

作者： Avcibas, I Memon, N Sankur, B Sayood, K Polytech Univ Dept Comp & Informat Sci Brooklyn NY 11201 USA

ISBN: (纸本)0819439886

We present a technique that provides progressive transmission and near-lossless compression in one single framework. The proposed technique produces a bitstream that results in progressive reconstruction of the image just like what one can obtain with a reversible wavelet codec. In addition, the proposed scheme provides near-lossless reconstruction with respect to a given bound after each layer of the successively refinable bitstream is decoded. We formulate the image data compression problem as one of asking the optimal questions to determine, respectively, the value or the interval of the pixel, depending on whether one is interested in lossless or near-lossless compression. New prediction methods based on the nature of the data at a given pass are presented and links to the existing methods are explored. The trade-off between non-causal prediction and data precision is discussed within the context of successive refinement. Context selection for prediction in different passes is addressed. Finally, experimental results for both lossless and near-lossless cases are presented, which are competitive with the state-of-the-art compression schemes.

关键词： lossless compression near-lossless compression rate scalable compression successive refinement embedded bit stream density estimation causal non-causal prediction

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A feedback system for graphics video coding and networking

A feedback system for graphics video coding and networking

引用

2001 IEEE International conference on Acoustics, Speech, and Signal processing

作者： Wang, D. Mersereau, R.M. Agere Systems StarCore Technology Center Atlanta GA 30328 United States

This paper presents feedback design of a desktop visual communications system. The system consists of video coding using a 3-D graphics model and video transmission over the Internet. To reduce the overall video quality degradation in visual communications caused by coding and networking errors, we jointly researched the compression and transmission of video signals. In building the 3-D graphics model-based coding structure, instead of using feedforward idea based on pixel intensity, we develop a three-level signal representation and an analysis-by-synthesis feedback frame-work. In prototyping the video over IP in desktop conferencing, we adapt the video encoders coding rates based on feedback of the network states and receivers. We contribute to the analysis, modeling, and transmission of multimedia signals for desktop visual communications.

关键词： image coding

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Adaptive regularized image interpolation using data fusion and steerable constraints

Adaptive regularized image interpolation using data fusion a...

引用

conference on visual communications and image processing 2001

作者： Shin, JH Paik, JK Price, JR Abidi, MA Chung Ang Univ Dept Image Engn Grad Sch Adv Imaging Sci Multimedia & Film Tongjak Ku Seoul 156756 South Korea

ISBN: (纸本)0819439886

This paper presents an adaptive regularized image interpolation algorithm from blurred and noisy low resolution image sequence, which is developed in a general framework based on data fusion. This framework can preserve the high frequency components along the edge orientation in a restored high resolution image frame. This multiframe image interpolation algorithm is composed of two levels of fusion algorithm. One is to obtain enhanced low resolution images as an input data of the adaptive regularized image interpolation based on data fusion. The other one is to construct the adaptive fusion algorithm based on regularized image interpolation using steerable orientation analysis. In order to apply the regularization approach to the interpolation procedure, we first present an observation model of low resolution video formation system. Based on the observation model, we can hare an interpolated image which minimizes both residual between the high resolution and the interpolated images with a prior constraints. In addition, by combining spatially adaptive constraints, directional high frequency components are preserved with efficiently suppressed noise. In the experimental results, interpolated images using the conventional algorithms are shown to compare the conventional algorithms with tile proposed adaptive fusion based algorithm. Experimental results show that the proposed algorithm has the advantage of preserving directional high frequency components and suppressing undesirable artifacts such as noise.

关键词： image interpolation data fusion steerable filter regularization resolution enhancement adaptive edge preserving

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Embedded to lossless coding of motion compensated prediction residuals in lossless video coding

Embedded to lossless coding of motion compensated prediction...

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conference on visual communications and image processing 2001

作者： Abhayaratne, GCK Monro, DM Univ Bath Dept Elect & Elect Engn Signal & Image Proc Grp Bath BA2 7AY Avon England

ISBN: (纸本)0819439886

Lossless video coding is useful in applications where no loss of information or visual quality is tolerable. In embedded to lossless coding an encoded video stream can be decoded into any bit rate up to the lossless bit rate, which is quite useful in numerous applications. in this paper, the research we present is based on lossless video coding, which uses motion compensated prediction to eliminate temporal redundancy. We specifically address the problem of embedded to lossless coding of the motion compensated prediction residuals. Since the statistical properties of the residuals are different from still images, the best wavelet bases for still images do not perform well for residuals. Since residuals contain a higher portion of high frequency information in high motion regions, a fixed transform for the entire frame is not very efficient. We introduce a spatially adaptive wavelet transform method, which takes the local frame statistics into account before choosing the wavelet base. This transform technique provided the best performance for most of the test frames.

关键词： lossless video coding lossless residual coding embedded to lossless coding adaptive wavelets nonlinear wavelets

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