Title
A Normalized Rate-Distortion Model For H.263-Compatible Codecs And Its Application To Quantizer Selection
Abstract
This paper proposes a new normalized parametric rate-distortion model which can be efficiently applied to H.263-compatible video codecs and other codecs of similar type. The model is very efficient in terms of computational complexity and amount of required memory since it approximates all 31 rate-distortion relations (one for each quantization parameter QP) with only one curve by normalizing the energy of signals and the quantization distortion with functions of QP. We show how the model parameters can be obtained from experimental data. We also propose a quantizer selection scheme which uses the model to estimate the number of bits required for encoding 8x8 residual blocks. Experiments show that the model provides very good approximations of the rate and the distortion characteristics for all QPs, and that the proposed quantizer selection scheme works better than the scheme used in [3].
Year
DOI
Venue
1997
10.1109/ICIP.1997.638668
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL II
Keywords
Field
DocType
parameter estimation,quantization,quadratic programming,computational complexity,encoding,rate distortion theory,codecs
Computer science,Artificial intelligence,Estimation theory,Rate–distortion theory,Distortion,Codec,Mathematical optimization,Pattern recognition,Algorithm,Parametric statistics,Quantization (signal processing),Encoding (memory),Computational complexity theory
Conference
Citations 
PageRank 
References 
25
6.53
2
Authors
3
Name
Order
Citations
PageRank
K. Yang1256.53
Arnaud Jacquin214836.35
Nikil Jayant310223.17