Data-Compression.org

data compression link collection

Bit-rate Control


Fast and Efficient Algorithms for Video Compression and Rate Control

by Dzung Tien Hoang and Jeffrey Scott Vitter.

http://citeseer.ist.psu.edu/cache/papers/cs/3489/http:zSzzSzwww.math.tau.ac.ilzSz~matiaszS
zcourseszSzpaperszSzHoV98.VC_book.pdf/hoang98fast.pdf

         

Posted in July 10th, 2007

Analyzed rate distortion model in standard video codecs for rate control

by Rezaei, M.; Gabbouj, M.; Wenger, S.

http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10549/33371/01579928.pdf?isnumber=&a
rnumber=1579928

         

Posted in July 6th, 2007

Adaptive Rate Control for JVT

by Zhengguo Li, Feng Pan, Keng Pang Lim, Genan Feng, Xiao Lin and Susanto Rahardja.

http://ftp3.itu.ch/av-arch/jvt-site/2002_12_Awaji/JVT-F019r1.doc

         

Posted in July 4th, 2007

Optimum Bit Allocation and Rate Control for H.264/AVC

by Zhengguo Li, Feng Pan, Keng Pang Lim, Genan Feng, Xiao Lin and Susanto Rahardja.
The authors says “In this proposal, we present an adaptive picture layer rate control scheme for JVT by introducing a linear model to predict the mean absolute difference (MAD) of current picture by that of previous picture.”

http://ftp3.itu.ch/av-arch/jvt-site/2005_04_Busan/JVT-O016.doc

         

Posted in July 4th, 2007

A Fast Bits Estimation Method for Rate-Distortion Optimization in H.264/AVC

by Quqing Chen, Yun He.
“In this paper, a simple and fast bits estimation method for entropy coding is proposed
and used in RDO so that the number of entropy-coded bits can be quickly predicted
without entropy coding”.

http://www.ece.ucdavis.edu/PCS2004/pdf/ID35_A%20Fast%20Bits%20Estimation%20Method%20for%20
Rate-Distortion%20Optimization%20in%20H.264.pdf

         

Posted in July 2nd, 2007

Rate-Distortion optimal joint macroblock mode selection and motion estimation for MPEG-like video coders

A paper by Hyungjoon Kim and Yucel Altunbasak that describes a proposed “a joint macroblock mode
selection and motion estimation by employing a computationally efficient, yet highly-effective rate-distortion model”.

http://www.ece.gatech.edu/research/labs/MCCL/pubs/dwnlds/kim_icip04_1.pdf

* * * * *

Posted in July 2nd, 2007

Rate-Distortion Optimization for Video Compression

by Gary J. Sullivan and Thomas Wiegand.

http://citeseer.ist.psu.edu/sullivan98ratedistortion.html

* * * * *

Posted in July 2nd, 2007

Notes on “Rate-Distortion Methods for Image and Video Compression”

by A. Ortega and K. Ramchandran (IEEE Signal Processing Magazine Nov. 1998 pp. 23 – 50)

http://www.ws.binghamton.edu/fowler/fowler%20personal%20page/EE523_files/Notes%20on%20Rate
-Distortion%20Methods.pdf

* * * * *

Posted in July 2nd, 2007

A Frame-Layer Rate Control Algorithm for H.264 Using Rate-Dependent Mode Selection

A article by Jun-Yup Kim, Seung-Hwan Kim, and Yo-Sung Ho that describes a proposed new bit
allocation scheme for intra frame and inter frame.

http://rbrc.gist.ac.kr/paper/56.pdf

* * * *  

Posted in July 2nd, 2007

Efficient Cost Measures for Motion Estimation at Low Bit Rates

by Dzung T. Hoang, Philip M. Long, and Jeffrey Scott Vitter, Fellow, IEEE.
The authors says “We present and compare methods for choosing
motion vectors for block-based motion-compensated video coding”.

http://citeseer.ist.psu.edu/hoang98efficient.html

* * * * *

Posted in July 2nd, 2007

Video Bit-Rate Control with Spline. Approximated Rate-Distortion Characteristics

by Liang-Jin Lin.
The author says “The control scheme defined in MPEG Test Model 5 provides
a solution with very light computational overhead. However, the results are not
always good for any given video sequence and channel rates. It is also difficult
to adjust parameters to improve the quality without the help of some trial and
error encoding tests. Moreover, it does not control the buer to prevent buer
overflow. Several rate-distortion (R-D) based techniques have been proposed.
The new approaches solved all these problems and generate better and more
stable results. However, these approaches are complex because they require the
R-D characteristics of the input data to be measured before making quantization
assignment decisions.
In this research, we show how the complexity of computing the R-D data can be
reduced without reducing too much the performance of the optimization procedure.”

http://sipi.usc.edu/~ortega/PhDTheses/LiangjinLin.pdf

* * * * *

Posted in July 2nd, 2007