A new wavelet-based method for the compression of electrocardiogram (ECG) data is presented. The discrete wavelet transform (DWT) is applied to the digitized ECG signal. The DWT coefficients are firstly quantized with...
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A new wavelet-based method for the compression of electrocardiogram (ECG) data is presented. The discrete wavelet transform (DWT) is applied to the digitized ECG signal. The DWT coefficients are firstly quantized with a uniform scalar dead zone quantizer. Then the quantized coefficients are decomposed into four symbol streams: a binary significance symbol stream, a sign stream, a position of the most significant bit (PMSB) symbol stream and a residual bits stream. An adaptive arithmetic coder with different context models is employed for the entropy coding of these symbol streams. Experiments on several records from the MIT-BIH arrhythmia database showed that the proposed coding algorithm outperforms other well-known wavelet-based ECG compression algorithms.
We present a lossless compression algorithm for coding image edges. First, we determine an optimal order of all edges by solving a traveling salesperson problem and then code efficiently the starting point of each edg...
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We present a lossless compression algorithm for coding image edges. First, we determine an optimal order of all edges by solving a traveling salesperson problem and then code efficiently the starting point of each edge with respect to one of the two end points of the previous edge in the order. Next, we code the remaining edge points using a modified chain difference coding algorithm. This algorithm reduces entropy of the source. Finally, we use LZW for entropy coding of the output. We provide experimental results to compare the coding rate of our algorithm for some natural images with arithmetic coding of chain difference code and JBIG.
A joint source channel coding scheme for error resilient image transmission is proposed. A practical image coder was introduced in AN Kim et al, (2004) using modified differential pulse coded modulation (DPCM) codec w...
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A joint source channel coding scheme for error resilient image transmission is proposed. A practical image coder was introduced in AN Kim et al, (2004) using modified differential pulse coded modulation (DPCM) codec with multi-rate processing and adaptive entropy coding. In this paper the residual redundancy of the prediction error image is exploited by using turbo codes for both data compression and error protection. In the paper we deal with robust transmission of the source over a BSC channel, but the results can be easily extended for non binary channels. Note also that simple modification of the quantizer allows for progressive transmission and successive refinement of information. With properly chosen rate and puncturing, the system is able to approach the limit theoretically attainable and to outperform the separated approach that consists on the concatenation of the system in AN Kim et al, (2004) and the best turbo codes for the same spectral efficiency.
A high performance and silicon efficient hardware architecture for binary arithmetic coding (BAC) acceleration is presented and its application to entropy coding in the context of the H.264 video compressor standard d...
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A high performance and silicon efficient hardware architecture for binary arithmetic coding (BAC) acceleration is presented and its application to entropy coding in the context of the H.264 video compressor standard described. The proposed hardware architecture remains bit compatible with the software implementation used in the H.264 ITU standard. The renormalization sequence that maintains the state variables in the appropriate range has been rewritten in order to enable a data independent throughput in hardware of 1 symbol per clock cycle. The instruction set extensions required to be implemented as part of the ISA of a controlling RISC are proposed. Finally, ASIC and FPGA implementations are obtained and the performance and complexity compared with recent implementations of the well-known MQ-coder reported.
A highly efficient, lookup table-based, renormalization method is proposed, which can be used by any binary arithmetic coder with the follow-on procedure. It replaces the time-consuming branching operations in the ren...
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A highly efficient, lookup table-based, renormalization method is proposed, which can be used by any binary arithmetic coder with the follow-on procedure. It replaces the time-consuming branching operations in the renormalization process with table lookups and some simple bit-wise operations. We show that the proposed method is much faster than the one used by the M coder in the CABAC entropy coding scheme of the H.264 video coding standard. Our method requires much less memory than the previously known, table-based quasi-coder.
Summary form only given. In this paper, we propose a novel approach for the second step of the Burrows-Wheeler compression algorithm, based on the idea that the probabilities of events are not continuous valued, but a...
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Summary form only given. In this paper, we propose a novel approach for the second step of the Burrows-Wheeler compression algorithm, based on the idea that the probabilities of events are not continuous valued, but are rather quantized with respect to a specific class of base functions. The first pass of encoding transforms the input sequence x into sequence x/spl tilde/. The second pass models and codes x/spl tilde/using entropy coding. The entropy decoding, modeling, and context updating for decoding x/spl tilde/ are the same as the ones used for encoding. We have proved that the quantized local frequency transform is optimal in the case of binary and ternary alphabet memoryless sources, showing that x and x/spl tilde/ have the same entropy; for larger alphabets, we verified this by simulation.
In this paper, a scheme of applying H.264/MPEG-2 program transcoding on personal video recorder (PVR), home gateway or multimedia server is proposed, which enables PVR to play the H.264 programs. A transcoding archite...
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ISBN:
(纸本)0780389204
In this paper, a scheme of applying H.264/MPEG-2 program transcoding on personal video recorder (PVR), home gateway or multimedia server is proposed, which enables PVR to play the H.264 programs. A transcoding architecture which reuses the motion vectors in the source H.264 stream is further presented. Experimental results show that this architecture is more efficient than a cascaded pixel domain transcoder while provides fairly good video quality. To our knowledge, there is no known research on H.264/MPEG-2 video transcoding or its application on consumer electronics.
This paper has proposed a content adaptive rate-distortion optimization scheme for scalable video coding. To adaptively determine the tradeoff between texture and motion coding, the scheme first makes use of spatial a...
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This paper has proposed a content adaptive rate-distortion optimization scheme for scalable video coding. To adaptively determine the tradeoff between texture and motion coding, the scheme first makes use of spatial and temporal complexities to adjust the Lagrangian multiplier for all the macroblocks in a frame. After that, the Lagrangian multiplier for every macroblock of the frame is further refined using local perceptual cues. To ensure optimal local selection of the Lagrangian multiplier, several characteristics of human visual system have been taken into account to guide the adjustment. Experiments have shown that the proposed scheme could effectively adapt the adjustment of Lagrangian multiplier to video contents and the subjective quality of the reconstructed frames could be improved without compromising PSNR.
We consider the problem of packetizing a variable length coded Markov sequence into fixed length packets, while being protected by variable rate channel code. Given the total transmission bit budget, a joint source-ch...
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We consider the problem of packetizing a variable length coded Markov sequence into fixed length packets, while being protected by variable rate channel code. Given the total transmission bit budget, a joint source-channel coding problem is how to partition the input sequence and how to determine the coding rates of individual packets for minimum expected distortion when the sequence is sent over binary symmetric channel. Three methods are proposed to estimate the performance of a sequence when transmitted through the system, based on which we convert the joint source-channel coding problem into a shortest path problem in a weighted directed acyclic graph which can be solved by using dynamic programming. Simulation shows that the overall performance of the system can be improved by 10-30% compared with the performance of the fixed rate packetization scheme.
In a video coder, the optimal coding mode decision for each coding block could be achieved by exhaustively calculating the Lagrange cost (which includes the coding distortion plus the Lagrange parameter times the codi...
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In a video coder, the optimal coding mode decision for each coding block could be achieved by exhaustively calculating the Lagrange cost (which includes the coding distortion plus the Lagrange parameter times the coding bit consumption) of all possible modes. The best mode can then be chosen as the one with the minimum Lagrange cost. To speed up the computationally intensive Lagrange cost computation, in this paper, we propose transform-domain bit-rate estimation and distortion measures for the inter-mode decision in H.264/AVC coders. With the proposed scheme, entropy coding, inverse DCT, and pixel-reconstructions are not required in the process. Simulation results show that the proposed estimation method is accurate for the inter-mode decision and about 46.42% time reduction can be achieved.
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