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检索条件"主题词=Compression algorithms"

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A lossless embedded compression algorithm for high definition video coding

A lossless embedded compression algorithm for high definitio...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Jaemoon Kim Jungsoo Kim Chong-Min Kyung School of Electrical Engineering & Computer Science KAIST Daejeon South Korea

With a rapid increase of image resolution in recent mobile video systems, the memory bandwidth and power consumption have surfaced as critical problems in video coding. Despite many embedded compression algorithms proposed to overcome these problems, no proper algorithms have yet been reported with high enough throughput and no quality loss. This paper first proposes a lossless embedded compression algorithm with high compression ratio along with the hardware architecture for high throughput. Experimental results show that the proposed algorithm achieves at least 60% data compression without quality loss and bitrate increment. Moreover, the latency of the proposed architecture is sufficient to meet the real-time requirement of high-definition video coding, i.e., 30 cycles/macroblock. The proposed algorithm can be implemented with about 28 K gates.

关键词： compression algorithms High definition video Video coding Throughput Image resolution Video compression Bandwidth Energy consumption Hardware Data compression

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Nonlinear Dynamical and Entropic Complexity Measures as Indicators of Nonstationarities in Short-Term ECG Signals

Nonlinear Dynamical and Entropic Complexity Measures as Indi...

引用

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Rafal Ladysz Volgenau School of Information Technology and Engineering George Mason University Fairfax VA USA

Heart rate variability (HRV) is among important characteristics of general cardiac health. While 24-hour Holter monitoring is well recognized as a comprehensive analytical technique, short-term (up to 30 min.) electrocardiogram (ECG), recorded in presence of controlled environmental stimuli, remains rather unexplored in diagnostic practice. The presented method of change point detection in such class of signals addresses urgent quest from cardiologists for a simple, real time analysis of short-term ECG. Based on the concepts of sample entropy and Lempel-Ziv compression, the methodology combines sensitivity to subtle dynamical changes of the heart rate with robustness to noise. It was evaluated on 20 ECG signals from two groups of subjects: healthy and with cardiac problems. The method helps improve accuracy in discerning between the two groups and the results support hypothesis that healthy individuals are more responsive to environmental stimuli.

关键词： Electrocardiography Heart rate variability Signal analysis Entropy Cardiology Noise robustness Biomedical monitoring compression algorithms Doped fiber amplifiers Time series analysis

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2D enhanced intra prediction (2DEIP) for high definition image/video coding

2D enhanced intra prediction (2DEIP) for high definition ima...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Yunyang Dai Qi Zhang C.-C. Jay Kuo Ming Hsieh Department of Electrical Engineering and Signal and Image Processing Institute University of Southern California Los Angeles CA USA

ISBN: (纸本)9781424438273

An intra prediction (IP) scheme based on 2D geometrical manipulation, called 2DIP, was proposed in to improve the line-based intra prediction (LIP) in H.264/AVC. In this work, we propose ways to reduce the complexity and enhance the efficiency of 2DIP and call the resultant scheme 2D enhanced intra prediction (2DEIP). These enhancements are achieved via block classification and translation vector prediction. It is shown by experimental results that the proposed 2DEIP method allows better prediction for images with complex textures. The average PSNR gain over the H.264/AVC intra prediction can be as high as 0.6 dB.

关键词： Video coding Automatic voltage control Image coding Surface texture Transform coding Performance gain PSNR Electronics packaging compression algorithms Motion pictures

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Speed up the Search in Bitmap Based Compressed Sparse Arrays

Speed up the Search in Bitmap Based Compressed Sparse Arrays

引用

International Conference on Information Management and Engineering, ICIME

作者： Joseph Zalaket Department of computer science Université Saint-Esprit de Kaslik Jounieh Lebanon

ISBN: (纸本)9781424437740

MOLAP (multidimensional OLAP) systems are storing data as cubes in multidimensional arrays. Data cubes can be sparse, which slows down the performance of MOLAPs and requests useless additional data storage. Many compression algorithms have been introduced to deal with the sparsity of MOLAP data cubes. In this paper we present a new compression algorithm based on the bitmap compression technique. Instead of the linear structure used by the classical bitmap, we use a balanced tree structure to store the compressed data in order to reduce the search time. We demonstrate in this paper that our algorithm performs a search in the compressed structure in a logarithmic time which overcomes the linear time needed by classical bitmap compression methods. We finally show some empirical results in which our proposed algorithm has been tested over multiple datasets and compared to the classical bitmap algorithm.

关键词： Multidimensional systems compression algorithms Data warehouses Marketing and sales Testing Information management Data engineering Computer science Electronic mail Memory

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A distributed joint source-channel coding scheme for multiple correlated sources

A distributed joint source-channel coding scheme for multipl...

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International Conference on Communications and Networking in China (CHINACOM)

作者： Xuqi Zhu Lin Zhang Yu Liu School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China

Multiple nodes sensing the common target is the most popular application of the Wireless Sensor Networks (WSNs). Pure distributed compression of multiple correlated sources has been discussed much in the related literature, while taking the noisy communication channels into account is more suitable for the actual scenario. In this paper, a practical Distributed Joint Source-Channel Coding (DJSCC) scheme for multiple correlated sources is proposed. Besides considering the noisy channels and multiple sources, the processing of the noisy side information is also investigated here. By combining the Shannon theorem and the Slepian-Wolf theorem, the theoretical limits of the proposed DJSCC scheme are derived. An efficient coding strategy with a single Low-Density Parity Check (LDPC) code is designed based on the theory to cope with both source and channel coding. The simulation results demonstrate the desired efficiency of our scheme.

关键词： Channel coding Wireless sensor networks Parity check codes Source coding Decoding Communication channels Aggregates compression algorithms Turbo codes Pollution

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A note on the estimation of string complexity for short strings

A note on the estimation of string complexity for short stri...

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International Conference on Information, Communications and Signal Processing

作者： Ulrich Speidel Department of Computer Science University of Auckland Auckland New Zealand

ISBN: (纸本)9781424446568

While Kolmogorov's well-known results show that absolute string complexity is not computable, its estimation is nevertheless of importance in fields such as randomness testing, data compression evaluation, similarity measurement and event detection. Several complexity estimators have been developed over the years, with the Lempel-Ziv parsers being the most prominent. The estimators' asymptotic behaviour for long strings is generally compatible, but they differ considerably in the domain of short strings. Short strings are however exactly the kind of data encountered in many of the practical application areas. This paper proposes a method for evaluating the comparative performance of such estimators and presents experimental results for Lempel-Ziv parsers and a more recent estimator, the T-complexity.

关键词： Production Testing Entropy Computer science Data compression Event detection compression algorithms Vocabulary Proposals Upper bound

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A reverse-encoding-based on-chip AHB bus tracer for efficient circular buffer utilization

A reverse-encoding-based on-chip AHB bus tracer for efficien...

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Asia and South Pacific Design Automation Conference

作者： Fu-Ching Yang Cheng-Lung Chiang Ing-Jer Huang Department of Computer Science and Engineering National Sun Yat-sen University Taiwan

ISBN: (纸本)9781424427482

The post-T/pre-T trace refers to the trace captured before/after a target point is reached, respectively. Real time compression of the post-T trace in a circular buffer is a challenging problem since the initial state of the trace being compressed might be corrupted when wrapping around occurs and thus, makes it difficult to reconstruct the trace from the incomplete information stored in the circular buffer. This paper proposes an efficient compression algorithm which is capable of compressing both pre-T and post-T traces. The algorithm is based on an innovative reverse encoding scheme by reversing the order of the datum being encoded and the datum being referred. This algorithm has been successfully implemented in a realtime on-chip AHB bus tracer and has been embedded in a 3D graphics SoC as an application example. The bus tracer costs only 44 K gates and runs at 500 MHz on 0.13 mum technology. Experiments have shown that this bus tracer achieves 100% circular buffer utilization and captures 1.2times and 4.86times trace depths than state-of-the-art related work and conventional industrial approaches, respectively.

关键词： Encoding compression algorithms Buffer storage System-on-a-chip Pins Hardware Computer science Wrapping Graphics Costs

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Security using Shannon-Fano-Elias codes

Security using Shannon-Fano-Elias codes

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Raj S. Katti Ahana Ghosh Department of Electrical and Computer Engineering North Dakota State University Fargo ND USA

ISBN: (纸本)9781424438273

In this paper we propose using the compression method, Shannon-Fano-Elias coding, for encryption. Shannon-Fano-Elias codes lend themselves for encryption because code-words depend on the order in which the symbols that need to be coded are written and it does not matter if the probability mass function of the symbols is known to everyone. If there are n symbols then there are n! orderings, each leading to a new code. Using an ordering as a key for encryption for small n leads to a weak encryption scheme. We therefore propose a new scheme called adaptive Shannon-Fano-Elias code that makes the complexity of attacks exponential in m, where m is the length of the string being compressed. Since m is usually very large (> 2 20 ), the security of our scheme is very high. The main reason why our scheme's security depends on m is the fact that all attacks require the ciphertext to be scanned from left to right.

关键词： Cryptography Data security Multimedia systems Huffman coding Computer security Data compression compression algorithms Multimedia communication Encoding Distribution functions

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Forward adaptive KLT coding

Forward adaptive KLT coding

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Carlos E. Davila Electrical Engineering Department Southern Methodist University Dallas TX USA

A framework for implementing the forward adaptive Karhunen-Loeve Transform (FAKLT) is described. Unlike backward adaptive methods, FAKLT computes transform coefficients using basis vectors derived from the most recent signal frame. As a result, it exhibits improved energy compaction compared to the backward adaptive KLT. The method encodes only the KLT coefficients and a small amount of side information, the KLT basis vectors (eigenvectors) are not encoded.

关键词： Karhunen-Loeve transforms Decoding Autocorrelation Eigenvalues and eigenfunctions Transform coding GSM Compaction Data compression Adaptive systems compression algorithms

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Gamut fitting for image composition applications

Gamut fitting for image composition applications

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IEEE International Conference on Image Processing

作者： Wenxian Yang Jianmin Zheng Jianfei Cai School of Computer Engineering Nanyang Technological University Singapore

Existing digital image composition algorithms neglect the out-of-gamut problem, i.e. some pixel values in a composited image exceed the displayable or printable range. In this paper, we show that the commonly used solution, i.e. hard clipping or linear scaling, results in either detail loss or global contrast reduction. Directly applying the existing high dynamic range (HDR) compression algorithms cannot achieve pleasant visual quality either. Thus, we propose a gamut fitting method to solve this out-of-gamut problem in image composition. In particular, we formulate gamut fitting as a multi-criteria optimization problem. Polynomials in the Bernstein-Be¿zier form are used to compute the optimal gamut mapping curve. The proposed approach can be regarded as a post-processing procedure to enhance the visual quality of the resulting images from image composition applications.

关键词： Dynamic range Image coding Pixel Digital images compression algorithms Image generation Application software Computer displays Fitting Polynomials

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