The proceedings contain 162 papers. The topics discussed include: facial image tracking system architecture utilizing real-time labeling;subjective mode regions of picture and painting of 3-D picture;model based segme...
The proceedings contain 162 papers. The topics discussed include: facial image tracking system architecture utilizing real-time labeling;subjective mode regions of picture and painting of 3-D picture;model based segmentation of the tongue surface using a modified scale space filter;extraction of two-dimensional arbitrary shapes using a genetic algorithm;symmetrical segmentation-based image coding;a parallel approach to character recognition and its VLSI implementation;time-varying homotopy and the animation of facial expressions for 3D virtual space teleconferencing;very low bit-rate video coding with object-based motion compensation and orthogonal transform;fractal approach to low rate video coding;localized fractal dimension measurement in digital mammographic images;sequence coding based on the fractal theory of iterated tranformations systems;and joint multigrid estimation of 2D motion and object boundaries using boundary patterns.
The Proceedings first volume contains 40 papers. The topics covered include hierarchical image coding, motion analysis, feature extraction, image restoration, video coding, morphological and related nonlinear filters.
ISBN:
(纸本)0819410187
The Proceedings first volume contains 40 papers. The topics covered include hierarchical image coding, motion analysis, feature extraction, image restoration, video coding, morphological and related nonlinear filters.
An overview of low bit rate coding and the interaction between source coding and channel coding is presented. The interaction of coding with networking in a multiuser environment, including algorithms for robust codin...
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An overview of low bit rate coding and the interaction between source coding and channel coding is presented. The interaction of coding with networking in a multiuser environment, including algorithms for robust coding which anticipate imperfect network performance, and techniques of decoding a signal that has traversed an imperfect network are described. The performances of such algorithms are illustrated with examples from speech, audio, and video transmission in the presence of packet losses. The challenges in measuring the quality of service (QOS) in the context of new algorithms for coding and networking and the difficulty of measuring QOS in the networking of multimedia information are discussed.< >
Digital image classification is a computation intensive task. In remote sensing image analysis, a large proportion of computing time is spent on image classification. Reducing the time required for classification may ...
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ISBN:
(纸本)0819410209
Digital image classification is a computation intensive task. In remote sensing image analysis, a large proportion of computing time is spent on image classification. Reducing the time required for classification may largely improve the efficiency of image analysis. This is especially significant for real-time applications of remote sensing images. Parallel computing provides effective techniques for improving data processing efficiency. In this paper, three parallel classification algorithms for multiple spectral remote sensing images are described. The strategies for the parallel classification are discussed and experimental results are presented and analyzed.
In this paper we describe a quantitative distortion measure for judging the quality of compressed monochrome images based on a psycho-visual model. Our model follows the human vision perception in that the distortion ...
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ISBN:
(纸本)0819413690
In this paper we describe a quantitative distortion measure for judging the quality of compressed monochrome images based on a psycho-visual model. Our model follows the human vision perception in that the distortion as perceived by a human viewer is dominated by the compression error uncorrelated with the local features of the original image. We have performed subjective tests to obtain the ranking results for images which were compressed using different compression algorithms and compared the results with the rankings obtained using our distortion measure and other existing mean-square error based distortion measures. We have found that our distortion measure's ranking matches the subjective ranking perfectly where as the mean-square error and its variants are only 60% correct on the average.
A new scheme for sequence coding based on the iterated functions systems theory is presented. The method relies on a 3D approach in which the sequence is adaptively partitioned. Each partition block can be coded eithe...
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A new scheme for sequence coding based on the iterated functions systems theory is presented. The method relies on a 3D approach in which the sequence is adaptively partitioned. Each partition block can be coded either by using the spatial self similarities or by exploiting temporal redundancies. The proposed system shows very good performances when compared to other existing methods.
It is shown that images with missing pixels can be approximately and usefully reconstructed using an interpolation function derived from as few as 10% of the original pixels in the image. The interpolation procedure u...
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ISBN:
(纸本)0819411973
It is shown that images with missing pixels can be approximately and usefully reconstructed using an interpolation function derived from as few as 10% of the original pixels in the image. The interpolation procedure uses Gaussian radial basis functions to `hammer' a plane to the given data points, where the basis function widths are calculated according to diagonal dominance criteria. In this paper the effectiveness of the reconstruction technique is investigated as a function of the degree of diagonal dominance.
We present a new technique for image interpolation based on polynomial transforms. This is an image representation model that analyzes an image by locally expanding it into a weighted sum of orthogonal polynomials. In...
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ISBN:
(纸本)0819413690
We present a new technique for image interpolation based on polynomial transforms. This is an image representation model that analyzes an image by locally expanding it into a weighted sum of orthogonal polynomials. In the discrete case, the image segment within every window of analysis is approximated by a finite set of polynomial coefficients. We show how the problem of interpolating an image can be approached by interpolating the smooth window function used to locally analyze the image. Comparison with the existing interpolation techniques illustrates the good performance of the method presented in this paper.
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