An operational rate-distortion optimal single-pass SNR scalable video coder

Author

Kondi, Lisimachos P. ; Katsaggelos, Aggelos K.

Author_Institution

Dept. of Electr. Eng., State Univ. of New York, Buffalo, NY, USA

Volume

10

Issue

11

fYear

2001

fDate

11/1/2001 12:00:00 AM

Firstpage

1613

Lastpage

1620

Abstract

We introduce a new methodology for signal-to-noise ratio (SNR) video scalability based on the partitioning of the DCT coefficients. The DCT coefficients of the displaced frame difference (DFD) for inter-blocks or the intensity for intra-blocks are partitioned into a base layer and one or more enhancement layers, thus, producing an embedded bitstream. Subsets of this bitstream can be transmitted with increasing video quality as measured by the SNR. Given a bit budget for the base and enhancement layers the partitioning of the DCT coefficients is done in a way that is optimal in the operational rate-distortion sense. The optimization is performed using Lagrangian relaxation and dynamic programming (DP). Experimental results are presented and conclusions are drawn

Keywords

data compression; discrete cosine transforms; dynamic programming; image sequences; rate distortion theory; transform coding; video coding; DCT coefficients partitioning; Lagrangian relaxation; base layer; bit budget; displaced frame difference; dynamic programming; embedded bitstream; enhancement layers; image sequence; optimal rate-distortion; scalable video codec; signal-to-noise ratio; single-pass SNR scalable video coder; video quality; video scalability; Codecs; Design for disassembly; Discrete cosine transforms; Dynamic programming; Network servers; Rate-distortion; Scalability; Video compression; Video sequences; Web server;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.967389

Filename

967389