Complexity management for video encoders | Zendy

Yafan Zhao | Zendy; Iain E. G. Richardson | Zendy

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Complexity management for video encoders

Author(s) -

Yafan Zhao,

Iain E. G. Richardson

Publication year - 2002

Publication title -

openair@rgu (robert gordon university)

Language(s) - English

Resource type - Conference proceedings

ISBN - 1-58113-620-X

DOI - 10.1145/641007.641136

Subject(s) - computer science , codec , computational complexity theory , encoder , coding (social sciences) , discrete cosine transform , complexity management , computer engineering , real time computing , theoretical computer science , algorithm , artificial intelligence , computer hardware , mathematics , operating system , statistics , marketing , business , image (mathematics)

Computational complexity is an important performance constraint for software-only video CODECs. The aim of this research is to develop a video coding system with variable, controllable computational complexity. Adaptive algorithms for DCT and motion estimation are proposed separately to reduce complexity of each function and maintain it at target level. An integrated approach to video CODEC complexity management is also addressed. This work will have potential benefit for a wide range of computation-constrained or power-constrained multimedia applications.

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