A novel source modeling framework for bit rate and picture quality control in DCT visual coding
Ahihai He, Yong Kwan Kim, and Sanjit K. Mitra
Dept. of Electrical and Computer Engineering
University of California, Santa Barbara
{zhihai, ykkim, mitra} [at] iplab.ece.ucsb.edu
Dept. of Electrical and Computer Engineering
University of California, Santa Barbara
{zhihai, ykkim, mitra} [at] iplab.ece.ucsb.edu
Abstract
We present a novel source modeling framework in this paper. With the proposed source model, we can estimate the rate-distortion(R-D) curve before quantization and coding for DCT-based still images and video compression. The relative estimation error is less than 5%. In addition, the estimation algorithm has very low computational complexity. Based on the estimated R-D curve, we can perform accurate bit rate and picture quality control for still images and video compression.
Picture Coding Symposium, South Korea, Apr. 2001.
Node ID: 320 ,
DB ID: 117 ,
Lab: IPL ,
Target: Conference
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