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检索条件"主题词=Compression algorithms"

共 2068 条记录，以下是291-300 订阅

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A Map-Matching Aware Framework For Road Network compression 16

A Map-Matching Aware Framework For Road Network Compression

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IEEE 16th International Conference on Mobile Data Management MDM

作者： Hendawi, Abdeltawab M. Khot, Amruta Rustum, Aqeel Basalamah, Anas Teredesai, Ankur Ali, Mohamed Univ Washington Tacoma Inst Technol Ctr Data Sci Tacoma WA USA Univ Minnesota Dept Comp Sci & Engn St Paul MN USA Umm Al Qura Univ Dept Comp Engn Mecca Saudi Arabia Umm Al Qura Univ KACST GIS Technol Innovat Ctr Mecca Saudi Arabia

ISBN: (纸本)9781479999729

We demonstrate a novel location aware services framework termed COMA for efficient compression and map-matching of road-network graph data. Key innovations include working demonstration of a new compression algorithm to eliminate nodes and edges that do not affect graph connectivity while ensuring object location map-matching accuracy. The demonstration features: (1) Algorithm to leverage compressed versions of road-network graphs for map-matching of objects locations to correct road edges without decompression;(2) Upwards of 75% compression ratio implying significant savings for road-network data transmission costs;a key constraint for internet of things (IOT) devices, and (3) Use of a new controllable parameter;termed conflict factor C, whereby location aware services can trade the compression efficiency with map-matching accuracy at varying granularity. In addition to above features the demonstration features an extensible framework that enables experimentation and comparison between various compression and map-matching algorithms in a rich interactive interface. In this paper we outline data management challenges for location aware services using various scenarios for compression of a real road-network map of a large region of United States, along with both real and synthetic moving object trajectories distributed over this map. We describe the COMA framework through its map-based Graphical User Interface, ability to select the area of interest from the road-network map, and submit a compression request. COMA can export and save the compact versions of the selected area in different formats and plot the compressed graph over the original map for visual inspection to study the differences between compressed and uncompressed versions and various related statistics.

关键词： Coma comatic aberration compression algorithms network map compression Awareness road network maps compression EFFICIENCY COMPRESSED Internet of things compression ratio Frameworks Data management MAPPING(MATHEMATICAL)

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A compression Framework for Triangulated 3-D Meshes

A Compression Framework for Triangulated 3-D Meshes

引用

10th Annual Conference of the IEEE-India-Council (INDICON)

作者： Sheker, C. Gupta, Sumana Indian Inst Technol Dept Elect Engn Kanpur 208016 Uttar Pradesh India

ISBN: (纸本)9781479922741;9781479922758

In 3-D animations and graphics, triangulated meshes play an important role to build 3-D surfaces of simple objects as well as complex objects. Generally meshes require a huge amount of data for storage and transmission. Consequently, compression of 3-D meshes. In this paper geometry and connectivity data are compressed seperately. Although connectivity data is compressed independently, the geometry compression uses connectivity data. For geometry data, we propose a compression technique using projection and connectivity guided prediction. The 3D mesh is transformed into two 2D images and standard image processing techniques are applied to obtain compression. We used JPEG coding for compression of images. For connectivity data, we present a new compression algorithm, based on the idea of making strips. The algorithm first encodes the connectivity information of mesh into a output text file which is half in size compared to the original mesh size. This is done by using recursion and stack operations. These text files can be further compressed into rar file or strip file resulting in faster transmission and rendering of complex graphical objects.

关键词： Text files Meshes compression algorithms image processing techniques Three Dimensions triangularization compression Stack operations connectivity two dimentional images

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Depth Stream compression for Enhanced Real Time Fall Detection by Multiple Sensors 4

Depth Stream Compression for Enhanced Real Time Fall Detecti...

引用

4th IEEE International Conference on Consumer Electronics Berlin (ICCE-Berlin)

作者： Cippitelli, Enea Gasparrini, Samuele Gambi, Ennio Spinsante, Susanna Univ Politecn Marche Dept Informat Engn I-60131 Ancona Italy

ISBN: (纸本)9781479961658

A fall detection system using depth data acquired from a single Kinect sensor could be expanded by addition of more devices. The idea consists in equipping each sensor with an embedded board, in order to stream the collected depth data over a network, towards a central system, able to retrieve the data and process them. A preliminary evaluation of a low-complexity compression algorithm for depth streams is performed, and some encouraging results are presented.

关键词： assisted living data compression image coding medical image processing sensor fusion Kinect sensor depth data embedded board enhanced real time fall detection low-complexity depth stream compression multiple sensors Bandwidth compression algorithms PSNR Sensor systems Streaming media Transform coding

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Hybrid Pixel Encoding: An Effective Display Frame compression Algorithm for HD Video Decoder

Hybrid Pixel Encoding: An Effective Display Frame Compressio...

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15th IEEE International Conference on Computational Science and Engineering (CSE) / 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC)

作者： Li, Yifu Wang, Wenxiang Zhang, Guangfei Loongson Technol Corp Ltd Beijing 100190 Peoples R China Grad Univ Chinese Acad Sci Beijing 100149 Peoples R China Chinese Acad Sci ICT State Key Lab Comp Architect Beijing 100190 Peoples R China

ISBN: (纸本)9781467351652;9780769549149

High definition (HD) video decoder processes a great amount of data within a bounded time and thus requires high memory bandwidth. The memory bandwidth will dominate system performance, especially in embedded systems. In this paper, we propose a lossless hybrid display frame compression algorithm called HPE (Hybrid Pixel Encoding) for HD video decoder considering high compression performance and real time operation. The algorithm combines dictionary coding and run length coding to achieve a low compression ratio. We integrate the proposed design into an H. 264 decoder. Experimental results show that the proposed algorithm gains 67.7% of data reduction ratio on average when decoding 1080-HD video. It is much more effective than all previous works.

关键词： high definition video decoders memory bandwidth low compression ratio compression algorithms Embedded systems deceleration rate System performance pixel

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Control Area Network Based Quotient Remainder compression-Algorithm for Automotive Applications

Control Area Network Based Quotient Remainder Compression-Al...

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38th Annual Conference on IEEE-Industrial-Electronics-Society (IECON )

作者： Kelkar, Supriya Rajkamal Cummins Coll Engn Women Pune Maharashtra India Devi Ahilya Vishwa Vidyalaya Sch Elect Indore India

ISBN: (纸本)9781467324212

The present day automotives have variety of attractive features. Incorporating these features is possible with more electronics or embedded systems inside the vehicle. Controller Area Network (CAN) protocol offers low cost solution for communication between these embedded systems. These embedded systems communicate on CAN bus via message passing. With limited speed and bandwidth offered by CAN, there are limitations in communication. One of the solutions to overcome these limitations is the use of Data-Reduction (DR) algorithms or techniques. These algorithms make it possible to send fewer amount of data in the given time, thus reducing the bandwidth per message. This paper develops an alternative approach to data reduction technique called Quotient Remainder compression (QRC) algorithm. It provides double or at least equal range to the variation in the parameter as compared to the Enhanced Data Reduction (EDR) algorithm. The compression ratio of QRC is comparable to the earlier algorithms.

关键词： compression algorithms Data Reduction Automotive Applications Controller Area Network Protocol (CAN)

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Universal compression of a Piecewise Stationary Source Through Sequential Change Detection 24

Universal Compression of a Piecewise Stationary Source Throu...

引用

24th National Conference on Communications (NCC)

作者： Chittam, Dheeraj Kumar Bansal, Rakesh Srivastava, Ritvik Honeywell Tech Solut Lab Pvt Ltd Bangalore 560028 Karnataka India Indian Inst Technol Dept Elect Engn Kanpur 208016 Uttar Pradesh India

ISBN: (纸本)9781538612248

This paper focuses on universal compression of a piecewise stationary source using sequential change detection algorithms. The change detection algorithms that we have considered assume minimal knowledge of the source and make use of universal estimators of entropy. Here, data in each segment is characterized either by an I.I.D. random process or a first order Markov process. Simulation study of a modified sequential change detection test proposed by Jacob and Bansal [1] is carried out. Next, an algorithm to effectively compress a piece-wise stationary sequence using such change detection algorithms is proposed. Overall compression efficiency achieved with Page's Cumulative Sum (CUSUM) test and the modified change detection test proposed in [1] (JB-Page test) as part of the change detection schemes, are compared. Further, when JB-Page test is used for change detection, four different compression algorithms, namely, Lempel Ziv Welch (LZW), Lempel Ziv (LZ78), Burrows Wheeler Transform (BWT) and Context Tree Weighting (CTW) algorithms are compared based on their impact on overall compression.

关键词： compression algorithms Markov processes Probability distribution Detection algorithms Change detection algorithms Random processes Jacobian matrices

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Star-Derived Transforms in Lossless Text compression

Star-Derived Transforms in Lossless Text Compression

引用

International Symposium on Signals, Circuits and Systems

作者： Radescu, Radu Univ Politehn Bucuresti Appl Elect & Informat Eng Dept Bucharest Romania

ISBN: (纸本)9781424437849

This paper presents a study of transforms method used in lossless text compression in order to preprocess the text by exploiting the inner redundancy of the source file. The transform methods are derived from the Star (*) Transform. LIPT, ILPT, NIT, and LIT applied to text files emphasize their positive effects on a set of test files picked up from the classical corpora of both English and Romanian texts. Experimental results and comparisons with universal lossless compressors were performed, and set of interesting conclusions and recommendations are driven on their basis.

关键词： Sorting Encoding Arithmetic Testing Compressors compression algorithms Dictionaries Entropy Performance evaluation Adaptive algorithm

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Efficient Trace Data compression using Statically Selected Dictionary

Efficient Trace Data Compression using Statically Selected D...

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29th IEEE VLSI Test Symposium (VTS)/Workshop on Design for Reliability and Variability (DRV)

作者： Basu, Kanad Mishra, Prabhat Univ Florida Gainesville FL 32611 USA

ISBN: (纸本)9781612846552

Post-silicon validation and debug have gained importance in recent years to track down errors that have escaped the pre-silicon phase. Limited observability of internal signals during post-silicon debug necessitates the storage of signal states in real time. Trace buffers are used to store these states. To increase the debug observation window, it is essential to compress these trace signals, so that trace data over larger number of cycles can be stored in the trace buffer while keeping its size constant. In this paper, we propose several dictionary based compression techniques for trace data compression that takes account of the fact that the difference between golden and erroneous trace data is small. Therefore, the static dictionary selected based on golden trace data can provide notably better compression performance than the dynamic dictionaries selected in the current approaches. This will also significantly reduce the hardware overhead by reducing the dictionary size. Our experimental results demonstrate that our approach can provide up to 60% better compression compared to existing approaches, while reducing the architecture overhead by 84%.

关键词： Buffer storage compression algorithms Data compression Dictionaries Error analysis Silicon System-on-a-chip data compression debug observation window dictionary based compression techniques dictionary size dynamic dictionaries hardware overhead integrated circuit testing internal signals logic testing post-silicon debug post-silicon validation pre-silicon phase signal states static dictionary statically selected dictionary system-on-chip trace buffers trace data compression trace signals

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compression Algorithm for Extended Grid Coordinates used in Mobile Robots Navigation 24

Compression Algorithm for Extended Grid Coordinates used in ...

引用

International Conference on Automation, Quality and Testing, Robotics (AQTR)

作者： Marcu, Cosmin Tigauan, Claudia Tech Univ Cluj Napoca Automat Dept Cluj Napoca Romania

ISBN: (纸本)9798350361940;9798350361933;9798350361919

The data compression algorithms are used in different fields to manipulate and store big amount of information. The data exchange between different systems has become crucial nowadays and it actively contributes to the systems' efficiency. Besides the applications for file archiving, multimedia and communication, compression algorithms are used lately in embedded systems applications as well. In hardware environments with limited resources such as embedded systems, compression algorithms are used to save storage space and to improve the power consumption by reducing the amount of data that needs to be handled. This paper proposes a compression algorithm for GPS navigation data applied on extended grid coordinates. In addition, the paper presents a navigation method for mobile robots which uses compressed coordinates directly. The algorithm is validated by numerical identification of the results in different scenarios.

关键词： compression algorithms navigation mobile robots grid mapping extended grid coordinates

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A character elimination algorithm for lossless data compression

A character elimination algorithm for lossless data compress...

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Data compression Conference (DCC 2002)

作者： Hosang, M

ISBN: (纸本)0769514774

Summary form only given. We present a detailed description of a lossless compression algorithm intended for use on files with non-uniform character distributions. This algorithm takes advantage of the relatively small distances between character occurrences once we remove the less frequent characters. This allows it to create a compressed version of the file that, when decompressed, is an exact copy of the file that was compressed. We begin by performing a Burrows-Wheeler (1994) Transform (BWT) on the file. The algorithm scans this BWT file to create a character frequency model for the compression phase. To deal with the issue of bit encoding, we write every number as a byte or sequence of bytes to the compressed file and run an arithmetic encoder after the file has been compiled. © 2002 IEEE.

关键词： Arithmetic compression algorithms Data compression Decoding Encoding Frequency Writing

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