A fast and accurate characteristic-based rate-quantization model for video transmission
Author(s) -
Din Yuen Chan,
Wei-Ta Chien,
ChunYuan Chang,
Cheng-Fu Chou,
Kate ChingJu Lin,
Junn-Yen Hu
Publication year - 2007
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.704858
Subject(s) - quantization (signal processing) , macroblock , computer science , algorithm , computational complexity theory , frequency domain , decoding methods , computer vision
In this paper, we analyze the limitation of ρ-domain based rate-quantization (R-Q) model. We find out that a characteristic-based R-Q model can be derived from ρ-domain to q-domain. Experimental data show that such a characteristic-based R-Q model can provide a more accurate estimation of the actual bitrate than existing models for both frame-level and macroblock(MB)-level. In addition, a simple analysis of computational complexity of our quantization-free characteristics extraction framework shows that our model is faster than existing variance and ρ-domain based R-Q models.
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