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research-article

Requantization for transcoding of MPEG-2 intraframes

Published: 01 February 1999 Publication History

Abstract

An investigation on requantization for transcoding of video signals is carried out. Specifically, MPEG-2 compatible discrete cosine transform (DCT) intraframe coding is addressed. The aim of this work is twofold: first, to provide a theoretical analysis of the transcoding problem, and second, to derive quantization methods for efficient transcoding based on the results of the analysis. The mean squared error (MSE) cost function is proposed for designing a quantizer with minimum distortion resulting in up to 1.3 dB gain compared with the quantizer used in the MPEG-2 reference coder TM5. However, the MSE quantizer leads in general to a larger bit rate and may therefore only be applied locally to blocks of sensitive image content. A better rate-distortion performance can be provided by the maximum a posteriori (MAP) cost function. In critical cases, the MAP quantizer gives a 0.4 dB larger signal-to-noise-ratio (SNR) at the same bit rate compared with the TM5 quantizer. The results are not limited to MPEG-2 and can be adapted to other coding schemes such as H.263 or JPEG

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  • (2018)Camera identification based on very low bit rate videos with overall noise pattern having time varying statisticsMultimedia Tools and Applications10.1007/s11042-016-4323-077:1(1299-1322)Online publication date: 1-Jan-2018
  • (2016)CVSSProceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2016.49(106-115)Online publication date: 16-May-2016
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  1. Requantization for transcoding of MPEG-2 intraframes

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    cover image IEEE Transactions on Image Processing
    IEEE Transactions on Image Processing  Volume 8, Issue 2
    February 1999
    158 pages

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    IEEE Press

    Publication History

    Published: 01 February 1999

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    • (2022)Cost Minimization of Cloud Services for On-Demand Video StreamingSN Computer Science10.1007/s42979-022-01140-x3:3Online publication date: 19-Apr-2022
    • (2018)Camera identification based on very low bit rate videos with overall noise pattern having time varying statisticsMultimedia Tools and Applications10.1007/s11042-016-4323-077:1(1299-1322)Online publication date: 1-Jan-2018
    • (2016)CVSSProceedings of the 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2016.49(106-115)Online publication date: 16-May-2016
    • (2011)Fast requantization using self organizing feature map with orthogonal polynomials transformProceedings of the 2011 International Conference on Communication, Computing & Security10.1145/1947940.1947982(194-199)Online publication date: 12-Feb-2011
    • (2011)Quantizer offset selection for improved requantization transcodingImage Communication10.1016/j.image.2011.02.00326:3(117-129)Online publication date: 1-Mar-2011
    • (2009)Toward optimal real-time transcoding using requantization in the DCT domainProceedings of the 16th IEEE international conference on Image processing10.5555/1819298.1819742(3633-3636)Online publication date: 7-Nov-2009
    • (2009)Mixed architectures for H.264/AVC digital video transratingMultimedia Tools and Applications10.1007/s11042-009-0273-044:1(39-64)Online publication date: 1-Aug-2009
    • (2008)A novel approach for fast codebook re-quantizationPattern Recognition10.1016/j.patcog.2008.02.00841:9(2956-2963)Online publication date: 1-Sep-2008
    • (2007)Perfect requantization for video transcodingMultimedia Tools and Applications10.1007/s11042-007-0127-635:2(163-173)Online publication date: 1-Nov-2007
    • (2006)Requantization transcoding of H.264/AVC bitstreams for intra 4×4 prediction modesProceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing10.1007/11922162_92(808-817)Online publication date: 2-Nov-2006
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