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15th IEEE International Symposium on Multimedia (ISM)

作者： Hadzic, Ilija Woithe, Hans C. Carroll, Martin D. Alcatel Lucent Bell Labs Murray Hill NJ 07974 USA

ISBN: (纸本)9780769551401

We present a compression algorithm and a streaming protocol designed for streaming of computer-desktop graphics. The encoder has low memory requirements and can be broken into a large number of independent contexts with a high degree of data locality. The encoder also uses only simple arithmetic, which makes it amenable to hardware or highly parallel software implementation. The decoder is trivial and requires no memory, which makes it suitable for use on devices with limited computing capabilities. The streaming protocol runs over UDP and has its own unique error recovery mechanism specifically designed for interactive applications.

关键词： Computer graphics compression algorithms Video codecs Streaming media Transport protocols

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Graph-Cut-based compression Algorithm for Compressed-Sensed Image Acquisition

Graph-Cut-based Compression Algorithm for Compressed-Sensed ...

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Signal Processing and Communications Applications Conference

作者： Julide Gulen Alaydin Seden Hazal Gulen Maria Trocan Behcet Ugur Toreyin Cankaya University Institut Superieur d'Electronique de Paris

ISBN: (纸本)9781479948734

The purpose of the paper is to find the best quantizer allocation for compressed-sensed acquired images, by using a graph-cut quantizer allocation method. The compressed sensed acquisition is realized in a block-based manner, using a random projection matrix, and on the obtained block measurements a graph-cut-based quantizer allocation method is applied, in order to further reduce the bitrate associated to the measurements. Finally, the quantized measurements are reconstructed using a Smooth Projected Landweber recovery method. The proposed compression method for compressed sensed acquisition shows better results when compared to JPEG2000.

关键词： Bit rate quantizer JPEG compression algorithms image samples COMPRESSED

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Edge Mining the Internet of Things

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IEEE SENSORS JOURNAL 2013年第10期13卷 3816-3825页

作者： Gaura, Elena I. Brusey, James Allen, Michael Wilkins, Ross Goldsmith, Dan Rednic, Ramona Coventry Univ Dept Syst Engn Cogent Comp Coventry CVL 5FB W Midlands England

This paper examines the benefits of edge mining-data mining that takes place on the wireless, battery-powered, and smart sensing devices that sit at the edge points of the Internet of Things. Through local data reduction and transformation, edge mining can quantifiably reduce the number of packets that must be sent, reducing energy usage, and remote storage requirements. In addition, edge mining has the potential to reduce the risk in personal privacy through embedding of information requirements at the sensing point, limiting inappropriate use. The benefits of edge mining are examined with respect to three specific algorithms: linear Spanish inquisition protocol (L-SIP), ClassAct, and bare necessities (BN), which are all instantiations of general SIP. In general, the benefits provided by edge mining are related to the predictability of data streams and availability of precise information requirements;results show that L-SIP typically reduces packet transmission by around 95% (20-fold), BN reduces packet transmission by 99.98% (5000-fold), and ClassAct reduces packet transmission by 99.6% (250-fold). Although energy reduction is not as radical because of other overheads, minimization of these overheads can lead up to a 10-fold battery life extension for L-SIP, for example. These results demonstrate the importance of edge mining to the feasibility of many IoT applications.

关键词： compression algorithms data compression wireless sensor networks body sensor networks

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On the Use of compression algorithms for Network Anomaly Detection

On the Use of Compression Algorithms for Network Anomaly Det...

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IEEE International Conference on Communications

作者： Christian Callegari Stefano Giordano Michele Pagano Department of Information Engineering University of Pisa Italy

In the last few years, the number and impact of security attacks over the Internet have been continuously increasing. Since it seems impossible to guarantee complete protection to a system by means of the "classical" prevention mechanisms, the use of Intrusion Detection Systems has emerged as a key element in network security. In this paper we address the problem considering some techniques for detecting network anomalies. Our approach is based on the use of different compression algorithms for detecting anomalies in the network traffic running over TCP. In more detail we take into account the use of three different compression algorithms, based on distinct approaches, namely: Huffman coding, Dynamic Markov Coding, and Lempel-Ziv-Welch algorithm. The proposed methods are based on the consideration that the entropy represents a lower bound to the compression rate that we can obtain, and that the more redundant the data are and the better we can compress them. The performance analysis, presented in this paper, demonstrates the effectiveness of the proposed methods.

关键词： compression algorithms Intrusion detection Image coding Data security Protection Huffman coding Entropy Internet Cryptography Communications Society

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Power Aware Transformation of Bandlimited Signals

Power Aware Transformation of Bandlimited Signals

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IEEE 26th International System-on-Chip Conference (SOCC)

作者： Krishnamoorthy, Prakash Tekumalla, Ramesh LSI Corp APAC SOC Design Allentown PA 18109 USA LSI Corp APAC SOC Dev Allentown PA 18109 USA

ISBN: (纸本)9781479911660

This work presents an universal, lossless, linear, low complexity data transformation algorithm based on the sampling theorem that significantly reduces the complexity of operations in data processing systems. While many lossy and lossless compression methods are in existence, the data compressed by such methods cannot be directly processed by signal processing systems without decompression due to the non linear nature of most data compression algorithms. If there were linear compression method in existence, then compressed data could directly be passed to digital signal processing systems. Doing so significantly reduces the complexity of signal processing operations including additional benefits in the form of reduced power dissipation, improved signal integrity and better bandwidth utilization. This approach can be used in applications for the storage and retrieval of data from storage mediums such as read channels, system and processor interconnects including memory buses. System level simulations show that this method not only reduces the amount of data, but also improves performance due to improved signal integrity and significant reduction in power dissipation (upto 15% reduction) associated with the processing of multimedia content.

关键词： bandlimited signals Signal Processing Worksystem Signal integrity Power dissipation compression algorithms Data compression lossless compression signal processing Complexity Decompression

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On the use of compression algorithms for the classification of IP flows

On the use of compression algorithms for the classification ...

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International Symposium on Performance Evaluation of Computer & Telecommunication Systems SPECTS

作者： D. Adami C. Callegari S. Giordano M. Pagano F. Russo Department of Information Engineering University of Pisa Italy

In the last few years, the classification of IP traffic flows according to application level protocols has emerged as a key issue for the design and development of multiservice IP networks. Several proposals have been made to address this problem and to enhance such systems, but to the best of our knowledge none of them is suitable for reliably identifying the application that generated the IP traffic. This paper introduces a new approach, based on the use of compression algorithms, which can be used to classify applications running over TCP. Three different compression algorithms are taken into consideration and applied to real traffic traces, so as to demonstrate the effectiveness of the proposed method and to evaluate the performance.

关键词： compression algorithms Telecommunication traffic Entropy Protocols IP networks TCPIP Resource management Electronic mail Communication system traffic control Traffic control

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Using the ZDelta compression algorithm for data reduction in cellular networks

Using the ZDelta compression algorithm for data reduction in...

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Future Network and Mobile Summit

作者： David Bezaleli Jacob Gutman Ronit Nossenson Jerusalem College of Technology Jerusalem Israel

According to Cisco's Visual Networking Index forecast, global mobile data traffic grew 2.3-fold in 2011, and has more than doubled for the fourth year in a row. This has entailed expensive network capacity upgrades which reduce cellular network profitability. This drives the need for new data reduction features to decrease the upgrade cost. We tested the data reduction potential of the well known ZDelta compression algorithm by Trendafilov et al. on modern web application sites. The results indicate a high data reduction potential averaging 34%. Further, the additional latency is less than 50 ms for file sizes of up to 350KB.

关键词： compression algorithms Mobile communication Benchmark testing Bandwidth Web pages Streaming media Broadband communication

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A real-time algorithm for fixed-length short data compression

A real-time algorithm for fixed-length short data compressio...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Qin Li Jin Yang Caiming Liu Laboratory of Intelligent Information Processing and Application Leshan Normal University Leshan China

ISBN: (纸本)9781467352512

Based on the specialties of the transmission of fixed-length short data in certain special industries, the lossless compression algorithm for the fixed-length short data packets is presented. The iteration procedure is used to explore the rules rightward and downward from the source data packet and the compression dictionary is obtained. It overcomes the shortcoming of the traditional compression algorithm which only compresses the data by file, but cannot compress the short data effectively by packets. Only the compressed packet but not the compression dictionary is transferred in the network. The experimental results show that the proposed algorithm also overcomes the shortcoming that the Lempel-Ziv-Welch (LZW) algorithm cannot compress the data by pockets. This lossless compression algorithm can effectively compress the fixed-length short data which has similar structure and massive repetition. It realizes compressing and transfering the packets effectively and securely.

关键词： Dictionaries Real-time systems Encoding Data compression Probability compression algorithms Data mining

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Implementation of Template Matching Based ECG compression Algorithm for Mobile Application

Implementation of Template Matching Based ECG Compression Al...

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International Conference on IT Convergence and Security (ICITCS)

作者： Byeong-Hoon Kim Yun-Hong Noh Do-Un Jeong Dept. of Ubiquitous IT Engineering Dongseo University Busan South Korea Division of Computer & Information Engineering Dongseo University Busan South Korea

In this paper, a template based ECG compression algorithm for mobile device application is proposed and *** threshold is applied for good R-peak detection *** for PQ interval, QRS complex, ST interval is *** template code that closely matched with the input signal is saved. The determining factor for "closely matched" is based on the calculation of MSE value after comparing the template with each of the intervals (PQ interval, QRS complex and ST interval) with real time input ECG *** performance of algorithm is evaluated by using the Massachusetts Institute of Technology-Boston's Beth Israel Hospital Normal Sinus Rhythm Database and different sampling record. The highest compression ratio is 15.2:1. The accuracy of the R-peak detection is 100%.

关键词： Electrocardiography compression algorithms Real-time systems Monitoring Mobile communication Rhythm Databases

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Development of compression algorithm for video flow based on processing of predicted frames

Development of compression algorithm for video flow based on...

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International Crimean Conference on Microwave & Telecommunication Technology

作者： N.A. Kharchenko A.V. Hahanova Xarkivs'kyj nacional'nyj universytet radioelektroniky Kharkiv UA

The present paper concerns the basic algorithm for processing of video sequences by way of the example of P-type predicted frames. The article shows the major disadvantages of this method and proposes an alternative algorithm using polyadic encoding, which will increase the compression ratio, taking into account the requirements for it in time of processing, the bit rate and quality of video data recovery.

关键词： Encoding Transform coding Electronic mail Prediction algorithms compression algorithms Educational institutions Abstracts

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