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

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Towards a robust solution for image coding with easy content access

引用

conference on visual communications and image processing

作者： Hanjalic, A Delft Univ Technol Fac Informat Technol & Syst Dept Mediamat Informat & Commun Theory Grp NL-2600 GA Delft Netherlands

ISBN: (纸本)0819437034

We address in this paper the issue of content accessibility in compressed images. Under content accessibility we understand the efficiency of regaining the features of content elements that are important for content-based applications in large-scale image databases. It is realistic to expect that current and future databases are likely to store preferably compressed images in order to optimally use the available storage space. At the same time, widely used image compression methods, also including the present (JPEG) and future standards (JPEG 2000), are not explicitly optimized regarding the content accessibility. Consequently, a high computational load in reaching features in compressed images, combined with a large amount of images stored in a database, can negatively influence the interaction with that database. In order to make this interaction more efficient, it is necessary to develop compression methods that besides the classical three optimization criteria (bit rate/complexity/distortion minimization) also explicitly take into account the accessibility of image content. We approach this challenge and propose here a novel image compression method where a good synergy among all four optimization criteria is reached.

关键词： image coding image retrieval content-based applications

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Block/object-based algorithm for estimating true motion fields

引用

conference on visual communications and image processing

作者： Wang, DM Lauzon, D Commun Res Ctr Ottawa ON K2H 8S2 Canada

ISBN: (纸本)0819437034

A hybrid algorithm for estimating true motion fields is proposed in this paper. This algorithm consists of three steps: block-based initial motion estimation, image segmentation, and wrong motion vector correction based on objects. The hierarchical block-matching algorithms are improved for the initial motion estimation. The improved algorithm uses an adaptive technique to propagate motion vectors between hierarchical levels. It produces accurate motion field everywhere, except in the areas of motion occlusion. In order to correct wrong motion vectors in the areas of motion occlusion, the current image is segmented into objects and an object-based method is proposed to process the estimated motion fields. With the object-based method, wrong motion vectors are detected by approximating the estimated motion field in each object with a motion model, and are corrected using an object-adaptive interpolator. The object-adaptive interpolator is also used to increase the density of the motion field. Experimental results show that the improved hierarchical block-matching algorithm outperforms the conventional hierarchical block-matching algorithms. The proposed algorithm results in dense motion fields that are smooth within every object, discontinuous between objects of different motion, and very close to the true motion fields.

关键词： motion estimation motion analysis video processing image processing object-based algorithm

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Motion vector certainty reduces bit rate in backward motion estimation video coding

引用

conference on visual communications and image processing

作者： Lundmark, A Li, HB Forchheimer, R Linkoping Univ Dept Elect Engn Image Coding Grp S-58183 Linkoping Sweden

ISBN: (纸本)0819437034

Wavelet video coding using motion vectors estimated simultaneously at the transmitter and receiver side from the transmitted image data have been reported to have good compression capabilities, comparable to the non-scalable version of H.263. When scalability is required, the comparison turns even more in favour of the wavelet coding scheme. This paper shows that it is possible to reduce the bit-rate further in backward motion estimation schemes by using the certainty of each estimated motion vector. In this paper we report a lowering in bit rate of about 20 % by using the motion vector certainty as background information in the entropy coding / decoding process. We also propose a low-complexity algorithm which does not require motion estimation / compensation, but uses the motion vector certainty.

关键词： certainty confidence motion estimation backward motion estimation scalable video scalability wavelet video multiresolution video coding motion compensated wavelet coding motion vector certainty aided coding

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Finding faces in wavelet domain for content-based coding of color images: Two approaches

引用

conference on visual communications and image processing

作者： Karlekar, J Desai, UB Hughes Software Syst Ltd Elect City 122015 Gurgaon India

ISBN: (纸本)0819437034

Human face images form the important database in banks, security kiosks, police departments and they are also found in abundance in day-to-day life. In these databases the important content, of course is the face region. In this paper, we present two highly efficient methods for compressing face images. The first method, which is lossy, detects the human faces in the wavelet domain for discriminative quantization to achieve high perceptual quality content-based image compression. This method gives superior subjective performance over JPEG standard without sacrificing the performance in the rate-distortion spectrum. The second method, which is lossy as well as lossless, also detects the human faces in the wavelet domain so that lossy/lossless mode can be selected dynamically for compression. This method gives the best solution to applications which can not tolerate losses for face regions. The method improves the overall coding efficiency by adapting lossy mode for non-face regions instead of coding entire image in lossless mode.

关键词： content-based coding image coding face detection wavelet transform skin-tone lossy coding lossless coding S-transform dynamic coding

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Improved fractal image coding using sub-block luminance shifting

引用

conference on visual communications and image processing

作者： Sawada, K Hiraiwa, Y Nakamura, E Aichi Inst Technol Aichi 4700392 Japan

ISBN: (纸本)0819437034

This paper presents an improved fractal block coding scheme for still images. The proposed scheme employs a new technique which we call "sub-block luminance level shifting." In fractal block coding, an input image is first partitioned into range blocks. Each range block is encoded by a set of contractive affine transformations of its corresponding domain block. One of the coded data for each range block is an average pixel value of the range block, which is used for luminance level shifting between the range block and the contracted domain block. in our proposed method, a range block is further partitioned into sub-blocks in some cases and an average value of each sub-block instead of the range block is used for luminance level shifting. We have proposed an improved fractal block coding scheme applying this sub-block luminance level shifting adaptively block-by-block basis and also combining this method with adaptive range block size fractal coding. The computer simulation results show that the proposed fractal coding scheme gives higher SNR (Signal-to-Noise Ratio) values and better image qualities compared to the conventional fractal block coding scheme.

关键词： fractal image coding fractal block coding fractal image compression sub-block luminance level shifting contractive transformation

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Novel video coding scheme using adaptive mesh based interpolation and node tracking

引用

conference on visual communications and image processing

作者： Baum, E Speidel, J Univ Stuttgart Inst Telecommun D-70569 Stuttgart Germany

ISBN: (纸本)0819437034

An alternative method to H.263 for encoding of moving images at bit rates below 64 kbit/s is presented using adaptive spatial subsampling, mesh based interpolation and node tracking. This is why we call this new coding algorithm Mesh Based Interpolative Coding (MBIC). Data compression is achieved by representing the image content by a number of nonequidistant sampling points (nodes) for luminance and colour difference signals. The decoder reconstructs the image by interpolating the transmitted sampling points. For a given number of nodes which corresponds approximately to the total bit rate, the coder generates the node positions by minimizing the mean square error between the original picture and the interpolated picture. For moving images, each node is associated with a motion vector for node tracking. Simulation results of a complete encoder and decoder show that this method can provide lower bit rates than conventional schemes at a given picture quality for sequences with moderate movement.

关键词： image coding spatial subsampling adaptive interpolation Delaunay mesh node tracking

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Scalable and lossless transmission of multi-level images using minimized average error method

引用

conference on visual communications and image processing

作者： Kato, S Hasegawa, M Utsunomiya Univ Fac Engn Utsunomiya Tochigi 3218585 Japan

ISBN: (纸本)0819437034

image information service systems have been actively developed. It takes, however, very long transmission time for a multilevel image over narrow band channel, because the image information has a large amount of data. A variety of progressive or scalable transmission schemes have been proposed to reduce this disadvantage, which enable the receivers to recognize the image contents at the earlier transmission stage. Among these scalable transmission schemes, there are some schemes in which use bit plane coding techniques. These schemes have good performances because the resolution or the number of multi-levels can be improved independently. However, the effects of the half-tone representation at the earlier transmission stages are not good because of using the natural binary planes. In this paper, we propose a new scalable and lossless transmission method of multi-level images using the minimized average error method, which gives good quality of the half-tone reproduction. The simulation results show that our method gives good image quality at the first stage of the transmission.

关键词： image coding scalable coding progressive transmission lossless coding minimized average error method

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Fast calculation of IFS parameters for fractal image coding

引用

conference on visual communications and image processing

作者： Harada, M Kimoto, T Fujii, T Tanimoto, M Nagoya Univ Grad Sch Engn Dept Informat Elect Chikusa Ku Nagoya Aichi 4648603 Japan

ISBN: (纸本)0819437034

Fractal image coding based on Iterated Function System (IFS) has been attracting much interest because of possibilities of drastic data compression. It achieves compression by using the self-similarity in an image. It is one of the weak points on IFS that the calculation time is huge. Especially, the amount of calculation on scaling parameter and rmse is very huge. In this paper, Ne propose two schemes to reduce the calculation time while the quality of the image is kept. The first one reduces calculation time of parameters, affine transform and rmse by using the maximum amplitude ratio which is a ratio between the maximum amplitude range of range block and that of domain block. By using the maximum amplitude ratio, domain block which does not seem to choose is excluded before calculating parameters. The second one reduces calculation time of scaling parameter by using the ratio between variance of range block and that of domain block. The variance ratio is used instead of the scaling parameter. We perform the fractal compression experiments based on the proposed schemes to verify the effectiveness of these schemes. Computational experiments show that about 50% of calculation time is reduced by using both of two schemes.

关键词： image compression Fractal image Coding Iterated Function System Scaling parameter Fast calculation maximum amplitude ratio variance ratio

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Video segmentation based on adaptive combination of multiple features according to MPEG-4

引用

conference on visual communications and image processing

作者： Tancharoen, D Jitapunkul, S Kittipanya-ngam, P Siritaranukul, N Chulalongkorn Univ Dept Elect Engn Digital Signal Proc Res Lab Bangkok 10330 Thailand

ISBN: (纸本)0819437034

Video segmentation for object based video coding according to MPEG-4 should be able to segment interested objects in video sequence clearly. This paper presents the object segmentation algorithm which image features are combined to use in segmentation process following to characteristic of video signal. Because the combination of many features in video sequence is a method that can achieve high quality object segmentation. in addition, this algorithm is an adaptive method that many parameters can be adjusted in order to give clearly segmentation. The significant features are used in segmentation process including color, motion vector and change information. A fast shortest spanning tree (SST) algorithm is adapted to use for fast segmenting image boundary. Motion vectors are estimated and searched by thresholding hierarchical block matching (HBM) which want quite low computation and give a few groups of motion vectors. The change information is used to detect moving objects that can separate between moving object and static background. After that, each feature will be considered in segmentation decision process to segment interested objects. Then the post processing refines the final segmentation. The results from many test sequences have good quality and show object boundary clearly.

关键词： object segmentation image feature low bit rate video coding MPEG-4

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Scene adaptive multiple coding scheme for robust image transmission

Scene adaptive multiple coding scheme for robust image trans...

引用

2000 IEEE Wireless communications and Networking conference

作者： Cao, Lei Chen, Chang Wen Department of Electrical Engineering University of Missouri-Columbia Columbia MO 65211 United States

ISBN: (纸本)0780365968

In this paper, we propose a combined source and channel coding scheme for image transmission over noisy channels. The key component is extracting and preserving the scene information and incorporating it with unequal error protection to combat the channel errors. After hierarchical wavelet decomposition of the image, wavelet coefficients with parent-child relationship are grouped into wavelet blocks and classified according to corresponding scenes in the original image. For each class, spatial neighborhood coefficients in the high frequency subbands are constrained so that the spatially isolated coefficients are removed and clustered coefficients are retained at the same time. All the wavelet blocks in the same class are grouped together and coded using SPIHT algorithm. High source coding efficiency is preserved even though multiple source coded bitstreams are generated since the wavelet tree structure is untact. In order to combat the channel errors, unequal error protection strategy implemented by RCPC/CRC channel coding is designed based on the bit contribution to both PSNR and human visual sensitivity. Finally, a post-processing method is developed at the receiving end to restore the degradation due to the residual error after channel decoding. Experimental results show that the proposed scheme is indeed able to provide protection for more important bits and more important visual content under noisy transmission environment. In particular, the reconstructed images illustrate consistently better visual quality.

关键词： image coding

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