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Thursday, February 6, 2020 | History

6 edition of Efficient algorithms for MPEG video compression found in the catalog.

Efficient algorithms for MPEG video compression

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  • 39 Currently reading

Published by Wiley in New York, N.Y .
Written in English

    Subjects:
  • Digital video.,
  • Video compression.,
  • MPEG (Video coding standard),
  • Computer algorithms.

  • Edition Notes

    Includes bibliographical references (p. 157-163) and index.

    StatementDzung Tien Hoang, Jeffrey Scott Vitter.
    SeriesWiley series in telecommunications and signal processing
    ContributionsVitter, Jeffrey Scott, 1955-
    Classifications
    LC ClassificationsTK6680.5 .H63 2002
    The Physical Object
    Paginationxxii, 169 p. :
    Number of Pages169
    ID Numbers
    Open LibraryOL3583533M
    ISBN 100471379425
    LC Control Number2002280853
    OCLC/WorldCa49289585

    Using a heuristic function of the prediction error and the motion vector codelength results in compression performance comparable to the more computationally intensive coders while running much faster. MPEG-2 in its x pixels frame size mode is the format used for full-motion video in broadcast television and DVD players, but it requires a data rate in the range of 4 to 10 Mbps. Key to this chain are the processes of compression encoding and decompression decodingin which bandwidth-intensive 'raw' digital video is reduced to a manageable size for transmission or storage, then reconstructed for display. Key features of the standard include compression efficiency providing significantly better compression than any previous standardtransmission efficiency with a number of built-in features to support reliable, robust transmission over a range of channels and networks and a focus on popular applications of video compression. The face of your friend appears on the screen and you greet each other. We compare methods for choosing motion vectors for motion-compensated video compression.

    The standards specifically do not define an encoder; rather, they define the output that an encoder should produce. We show for powerful models such as Markov sources and th order Markov sources that the page fault rates incurred by our prefetching algorithms are optimal in the limit for almost all sequences of page accesses. As the bit rate decreases, the proportion required to transmit the motion vectors increases. This method, based on a concept called the variability index, provides accurate models for pixel prediction errors without requiring explicit transmission of the models. The technical drive comes from continuing improvements in processing performance, the availability of higher-capacity storage and transmission mechanisms and research and development of video and image processing technology.

    Most practical video compression techniques are based on lossy compression, in which greater compression is achieved with the penalty that the decoded signal is not identical to the original. Here are some of the steps involved in JPEG and MPEG image compression: Colour space conversion and resampling If necessary, the image is first converted into the correct colour space and resolution. Video codec design[ edit ] Further information: Video coding format Video codecs seek to represent a fundamentally analog data set in a digital format. The primary focus is on videophone and video-conferencing applications, where low bit rates are necessary, where motion is usually limited, and where the amount of computation is also limited.


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Efficient algorithms for MPEG video compression book

Motion compensation establishes a correspondence between elements of nearby images in the video sequence. The continuous evolution of the digital video industry is being driven by commercial and technical forces. This is a hybrid coding algorithm, [10] which combines two key data compression techniques: discrete cosine transform DCT coding [13] [12] in the spatial dimensionand predictive motion compensation in the temporal dimension.

After the call has ended, you call up a live video feed from a football match. The more you divide the number by, the greater the strength of the quantisation and hence the greater the likely loss in precision once you multiple the number again. Oliver and C.

Prefetching can be looked upon as a type of online sequential prediction, where the predictions must be accurate as well as made in a computationally efficient way. Codecs have their qualities and drawbacks.

While the video coding format must support such compression across frames in the bitstream format, by not needlessly mandating specific algorithms for finding such block-matches and other encoding steps, the codecs implementing the video coding specification have some freedom to optimize and innovate in their choice of algorithms.

Chat to your friends and family by PC videophone.

H.264 and MPEG

If a part of a frame is lost, the next intraframe and the frames after that can be displayed because they only depend on the intraframe. We present new vector quantization algorithms based on the theory developed by the authors. Turn on the television and surf through tens or hundreds of digital channels.

Most practical video compression techniques are based on lossy compression, in which greater compression is achieved with the penalty that the decoded signal is not identical to the original.

The output of the transform is first quantizedthen entropy encoding is applied to the quantized values. In fact, due to rounding error you need greater precision in order to be able to store them than the pixel values.

We describe a new compression measurement called compression gain, and we give experimental results showing that the MLP method using the variability index technique for error modeling gives significantly more compression gain than other methods in the literature.

When DCT is performed, the top left corner has the highest coefficients and bottom right has the lowest, this makes compression easier. Storing these coefficients is no more efficient than storing the original pixel values.

The trade-off between compression power, speed, and fidelity including artifacts is usually considered the most important figure of technical merit. After subtracting from each of the pixel value, we got the following results. Excerpted by permission. Sing Like a Catholic.

Our algorithms for prefetching are novel in that they are based on data compression techniques that are both theoretically optimal and good in practice. This involves chopping up the picture into blocks, 8 pixels by 8 pixels, and compressing each block separately, and using a mathematical transform called a Discrete Cosine Transformation DCT.

Smith and S. Video compression is the enabling technology behind many. The interplay between compression and buffer control algorithms in order to maximize network performance and achieve high visual clarity has shown great results, and Efficient Algorithms for MPEG Video Compression is the first book dedicated to the subject.

When we save a JPEG image or MPEG movie we can usually set either a quality slider or quantisation factor — these just vary the number we are dividing by and hence the amount of precision we want to retain. To exploit temporal redundancy between frames, MPEG codes the remaining frames using two prediction techniques.

Video compression schemes for Web and DVD make use of a color sampling pattern, and the DV standard uses sampling ratios.Efficient Algorithms for MPEG Video Compression () Cached. Download Links {Hoang01efficientalgorithms, author = {Dzung Tien Hoang and Jeffrey Scott Vitter}, title = {Efficient Algorithms for MPEG Video Compression}, year = {}} Share.

OpenURL. Abstract. Keyphrases. efficient algorithm mpeg video compression Powered by. MPEG-2 based lossless video compression Abstract: The authors describe an efficient algorithm design for lossless video compression by using MPEG-2 as a basic research platform.

Starting from MPEG motion estimation and compensation, the proposed algorithm focuses on a context tree design to fine tune the statistics and thus optimise the Cited by: 7.

This book provides developers, engineers, researchers and students with detailed knowledge about the High Efficiency Video Coding (HEVC) standard.

HEVC is the successor to the widely successful H/AVC video compression standard, and it provides around twice as much compression as H/AVC for the same level of quality. Overview. Two video compression standard families have emerged: Motion Photographic Expert Group (MPEG) and HX. MPEG standards have been developed by the ISO and are primarily aimed at motion picture storage and communications.

HX proposed by the ITU on the other hand focus on video-conferencing applications. Oct 03,  · The goal of a video compression algorithm is to achieve efficient compression whilst minimising the distortion introduced by the compression process.

Video compression algorithms operate by removing redundancy in the temporal, spatial and/or frequency domains. Figure shows an example of a single video atlasbowling.com: $ The book gives an authoritative explanation of picture and video coding algorithms, working from basic principles through to the advanced video compression systems now being developed.

One of its main objectives is to describe the reasons behind the introduction of a standard codec for a specific application and its chosen atlasbowling.com by: