TR2003-27

Rate-Distortion Analysis of The Multiple Description Motion Compensation Video Coding Scheme


    •  Lin, S., Vetro, A., Wang, Y., "Rate-Distortion Analysis of the Multiple Description Motion Compensation Video Coding Scheme", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2003, vol. 3, pp. 401-404.
      BibTeX TR2003-27 PDF
      • @inproceedings{Lin2003apr,
      • author = {Lin, S. and Vetro, A. and Wang, Y.},
      • title = {Rate-Distortion Analysis of the Multiple Description Motion Compensation Video Coding Scheme},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2003,
      • volume = 3,
      • pages = {401--404},
      • month = apr,
      • issn = {1520-6149},
      • url = {https://www.merl.com/publications/TR2003-27}
      • }
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  • Research Area:

    Digital Video

Abstract:

Multiple description motion compensation (MDMC) is a multiple description video coding scheme that has shown good error resilience performance. MDMC enables one to vary coding parameters according to the desired trade-off between coding efficiency and error resilience. To fully utilize this advantage, one needs to establish a set of models, relating the rate, encoder distortion, and the end-to-end distortion after transmission, with the encoder parameters and channel parameters. Using these models, one can find the optimal coding parameters for given channel parameters and rate (or distortion) constraints. In this paper, we formulate and validate the rate and encoder distortion models.

 

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      Where: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
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      Brief
      • The papers "Lossless Compression of Language Model Structure and Word Identifiers" by Raj, B. and Whittaker, E.W.D., "Rate-Distortion Analysis of the Multiple Description Motion Compensation Video Coding Scheme" by Lin, S., Vetro, A. and Wang, Y., "Comparing MFCC and MPEG-7 Audio Features for Feature Extraction, Maximum Likelihood HMM and Entropic Prior HMM for Sports Audio Classification" by Xiong, Z., Radhakrishnan, R., Divakaran, A. and Huang, T.S., "Audio Events Detection Based Highlights Extraction from Baseball, Golf and Soccer Games in a Unified Framework" by Xiong, Z., Radhakrishnan, R., Divakaran, A. and Huang, T.S., "Multi-Channel Source Separation by Factorial HMMs" by Reyes-Gomez, M.J., Raj, B. and Ellis, D.P.W. and "Tracking Noise via Dynamical Systems with a Continuum of States" by Singh, R. and Raj, B. were presented at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
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