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检索条件"主题词=compression algorithms"

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Evaluation of compression schemes for wide area video

Evaluation of compression schemes for wide area video

引用

Applied Imagery Pattern Recognition Workshop (AIPR)

作者： A. G. Amitha Perera Roderic Collins Anthony Hoogs Kitware Inc. Clifton Park NY USA

Current and upcoming wide-area aerial video collectors have very large effective focal plane arrays, and can generate a tremendous amount of data. This presents significant challenges for onboard storage and for real-time downlink. This paper presents the results of an evaluation of a number of different image and video compression schemes on wide-area video. In general, we found that video compression produces 3 to 5 times more compression than single image compression, at equivalent quality. The quality was measured using the Structural Similarity metric. We also found that the stream can be compressed by a factor of 100-200 without a perceptual loss in quality.

关键词： Video compression Image coding compression algorithms Image storage Sensor arrays Intelligent sensors Color Streaming media Image converters Downlink

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Efficient Data Interpretation and compression over RFID Streams

Efficient Data Interpretation and Compression over RFID Stre...

引用

International Conference on Data Engineering

作者： Richard Cocci Thanh Tran Yanlei Diao Prashant Shenoy Department of Computer Science University of Massachusetts Amherst USA

ISBN: (纸本)9781424418367;1424418364

Despite its promise, RFID technology presents numerous challenges, including incomplete data, lack of location and containment information, and very high volumes. In this work, we present a novel data interpretation and compression substrate over RFID streams to address these challenges in enterprise supply-chain environments. Our results show that our inference techniques provide good accuracy while retaining efficiency, and our compression algorithm yields significant reduction in data volume.

关键词： Radiofrequency identification compression algorithms Computer science Cleaning Monitoring Information filtering Information filters Hardware Buildings Inference algorithms

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Improving HTML compression

Improving HTML Compression

引用

Data compression Conference (DCC)

作者： Przemyslaw Skibinski Institute of Computer Science University of Wroclaw Wroclaw Poland

The primary objective of our research was to design an efficient way of compressing HTML documents, which will reduce Internet's traffic or will reduce storage requirements of HTML data. In our work we present the lossless HTML transform (LHT) aiming to improve lossless HTML compression in combination with existing general purpose compressors. The main components of our algorithm are: a static dictionary or a semi-static dictionary of frequent alphanumerical phrases, and binary encoding of popular patterns, like numbers, dates or IP addresses. Alphanumerical phrases are not limited to "words" in a conventional sense as they can be XML tags, XML entities, URL addresses, e-mails, and runs of spaces. We have developed two versions of LHT: static and semi-static. Both algorithms have some disadvantages. Static LHT uses a fixed English dictionary required for compression and decompression. Semi-static LHT does not support streams as input (offline compression) as it requires two passes over an input file. Semi-static LHT creates a dictionary in a first pass and stores it within the compressed file.

关键词： HTML compression algorithms Dictionaries Internet Data compression Web pages Compressors XML Image coding Computer science

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Error analysis of 3Dc-based normal map compression and its application to optimized quantization

Error analysis of 3Dc-based normal map compression and its a...

引用

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

作者： Toshihiko Yamasaki Kiyoharu Aizawa Department of Information and Communication Engineering University of Tokyo Japan

Normal mapping is one of the most essential technologies for realistic three-dimensional computer graphics. In conventional normal map compression such as 3Dc, only the x and y components are encoded and the z components are restored based on the normalizing condition. In this paper, we present an intuitively comprehensive error analysis for this approach. As a result, we reveal in what condition compression error becomes larger. We also present a non-linear quantization algorithm based on the formula for better compression performance than the conventional approaches. Experimental results using 300 normal map demonstrate that the PSNR is improved by 0.29 dB on average. Our algorithm is compatible with random access and highly-parallel processing on GPU.

关键词： Error analysis Quantization Image coding compression algorithms Computer graphics Equations Transform coding Bit rate Application software PSNR

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Design and Implementation of a High-Performance Microprocessor Cache compression Algorithm

Design and Implementation of a High-Performance Microprocess...

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Data compression Conference (DCC 2008)

作者： Xi Chen Lei Yang Haris Lekatsas Robert P. Dick Li Shang EECS Department Northwestern University Evanston IL USA Vorras Corporation Princeton NJ USA ECE Department University of Colorado Boulder CO USA

Researchers have proposed using hardware data compression units within the memory hierarchies of microprocessors in order to improve performance, energy efficiency, and functionality. However, most past work, and in particular work on cache compression, has made unsubstantiated assumptions about the performance, power consumption, and area overheads of the required compression hardware. We present a lossless compression algorithm that has been designed for on-line memory hierarchy compression, and cache compression in particular. We reduced our algorithm to a register transfer level hardware implementation, permitting performance, power consumption, and area estimation. The results of experiments comparing our work to previous work are presented.

关键词： Algorithm design and analysis Microprocessors compression algorithms Hardware Energy consumption Delay Costs Flexible printed circuits Data compression Energy efficiency

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Variable Length Coding for Fixed Rate, Low Latency, Low Complexity compression Applications

Variable Length Coding for Fixed Rate, Low Latency, Low Comp...

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Data compression Conference (DCC)

作者： Alireza Shoa VXP Image Processing Sigma Designs Inc. Burlington Canada

In order to maximize coding efficiency the coding algorithm must ensure the probability of encoding a sequence of n quantized symbols at a rate smaller than R is maximized (i.e. there is no need to increase the quantization step size). This optimization problem is different from the one solved by algorithms like Huffman coding in which it is assumed that a large sequence of symbols are being coded. We proposed a new coding algorithm that solves the above optimization problem.

关键词： Delay Image coding Bit rate Partial response channels Data compression Image processing Process design Algorithm design and analysis compression algorithms Quantization

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CoTe: A Software Tool for compression Benchmarking

CoTe: A Software Tool for Compression Benchmarking

引用

Data compression Conference (DCC)

作者： Jakub Swacha Institute of Information Technology in Management University of Szczecin Szczecin Poland

The tool, CoTe (compression tester), is a stand-alone program aiding in preparation of the tests (that is, choosing a set of test programs, files and their locations, and setting run-time options), running the tests (executing the programs with appropriate command- line switches, measuring processing time and output file size, removing unnecessary files after the tests are finished), and maintaining the results (viewing them, exporting to portable format). CoTe comes with an embedded database of the most popular compression programs which contains command-line syntax, used compression methods, modes and additional parameters, thus making it possible to test the programs without reading their documentation first. There is also included a much smaller database of the most popular test files. In both cases the items are categorized in taxonomical groups (encompassing compression method families and file types, respectively) which can help in drawing generalized conclusions from the test results (e.g., pertaining to a family of compression methods). Of course, each database can be modified and extended from within CoTe.

关键词： Software tools Testing Databases Data compression compression algorithms Information technology Conference management Information management Technology management Hardware

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Further results on relative redundancy

Further results on relative redundancy

引用

IEEE International Symposium on Information Theory

作者： Hirakendu Das Alon Orlitsky Narayan Prasad Santhanam Junan Zhang ECE UCSD USA ECE and CSE UCSD USA EECS UC Berkeley Duke University Medical Center USA

ISBN: (纸本)9781424422562

Standard redundancy measures the excess number of bits needed to compress a sequence as a function of the sequencepsilas length. Since long sequences can have arbitrarily low minimum description length (MDL), even low standard redundancy can be arbitarily high compared to the sequencepsilas MDL. By contrast, relative redundancy evaluates the excess number of bits as a function of the sequencepsilas MDL. Hence unlike standard redundancy, low relative redundancy implies that the number of bits needed to compress any sequence is essentially the lowest possible. Results in [1] show that for iid distributions over binary alphabets, block relative redundancy essentially equals block standard redundancy while sequential relative redundancy is about twice its standard counterpart. We show that unlike binary alphabets, for larger alphabets both block and sequential relative redundancy essentially equal their standard counterparts. We also define and determine expected relative redundancy and show that it is almost same as worst-case relative redundancy.

关键词： Redundancy Upper bound compression algorithms Length measurement Probability distribution Approximation methods

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Complexity Based Image Artifact Detection

Complexity Based Image Artifact Detection

引用

Data compression Conference (DCC)

作者： Alexandre Mallet Lionel Gueguen Mihai Datcu GET/Télécom Paris Paris France German Aerospace Center Wessling Germany

Images may contain blemishes or artificial structures which come from the processing or directly from the sensors, that decrease the quality of the images and can lead to analysis and interpretation problems. We are interested in detecting these defects automatically. The aim of our method will be to look for artifacts as too regular or too irregular image structures that will be detected using the basic properties of Kolmogorov complexity.

关键词： Entropy Length measurement Data compression Image sensors Image analysis Information resources compression algorithms Information theory

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Compressing inertial motion data in wireless sensing systems — An initial experiment

Compressing inertial motion data in wireless sensing systems...

引用

IEEE/EMBS International Summer School on Medical Devices and Biosensors

作者： Lawrence Cheng Stephen Hailes Zhen Cheng Fu-Yi Fan Denis Hang Yang Yang

The use of wireless inertial motion sensors, such as accelerometers, for supporting medical care and sportpsilas training, has been under investigation in recent years. As the number of sensors (or their sampling rates) increases, compressing data at source(s) (i.e. at the sensors), i.e. reducing the quantity of data that needs to be transmitted between the on-body sensors and the remote repository, would be essential especially in a bandwidth-limited wireless environment. This paper presents a set of compression experiment results on a set of inertial motion data collected during running exercises. As a starting point, we selected a set of common compression algorithms to experiment with. Our results show that, conventional lossy compression algorithms would achieve a desirable compression ratio with an acceptable time delay. The results also show that the quality of the decompressed data is within acceptable range.

关键词： Wireless sensor networks Sensor systems compression algorithms Optical sensors Sampling methods Acceleration Humans Biosensors Accelerometers Biomedical optical imaging

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