A computation-distortion optimized framework for efficient DCT-based video coding

The rapidly expanding field of multimedia communications has fueled significant research and development work in the area of real-time video encoding. Dedicated hardware solutions have reached maturity and cost-efficient hardware encoders are being developed by several manufacturers. However, softwa...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2001-09, Vol.3 (3), p.298-310
Main Authors: Ismaeil, I.R., Docef, A., Kossentini, F., Ward, R.K.
Format: Article
Language:English
Subjects:
Algorithms
Coders
Computation
Digital signal processing
Digital signal processors
Discrete cosine transforms
Encoders
Encoding
Hardware
Manufacturing
Mathematical models
Microprocessors
Motion estimation
Multimedia
Multimedia communication
Multimedia communications
Quantization
Research and development
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Summary:The rapidly expanding field of multimedia communications has fueled significant research and development work in the area of real-time video encoding. Dedicated hardware solutions have reached maturity and cost-efficient hardware encoders are being developed by several manufacturers. However, software solutions based on a general purpose processor or a programmable digital signal processor (DSP) have significant merits. Toward this objective, we have developed a flexible framework for video encoding that yields very good computation-performance tradeoffs. The proposed framework consists of a set of optimized core components: motion estimation (ME), the discrete cosine transform (DCT), quantization, and mode selection. Each of the components can be configured to achieve a desired computation-performance tradeoff. The components can be assembled to obtain encoders with varying degrees of computational complexity. Computation control has been implemented within the proposed framework to allow the resulting algorithms to adapt to the available computational resources. The proposed framework was applied to MPEG-2 and H.263 encoding using Intel's Pentium/MMX desktop processor. Excellent speed-performance tradeoffs were obtained.
ISSN:1520-9210
1941-0077
DOI:10.1109/6046.944474