Motion-classified autoregressive modeling of variable bit rate video

Author

Yegenoglu, Ferit ; Jabbari, Bijan ; Zhang, Ya-Qin

Author_Institution

Dept. of Electr. Eng., George Mason Univ., Fairfax, VA, USA

Volume

3

Issue

1

fYear

1993

fDate

2/1/1993 12:00:00 AM

Firstpage

42

Lastpage

53

Abstract

A motion-adaptive variable-bit-rate (VBR) video codec is considered, and a motion-classified model is developed to represent the characteristics of various classes of motion activities, including scene changes. The codec switches between interframe, motion-compensated, and intraframe coding corresponding to low, medium, and high amounts of motion and scene changes, respectively. The model captures the motion of various video scenes by providing the statistics of VBR-coded video traffic through a first-order autoregressive process with time-varying parameters. The parameters of this model are obtained from a VBR-coded sample video sequence with the objective of matching the bit-rate distribution and the autocorrelation among the bit rates. The validity and accuracy of the model are evaluated, and the characteristics of aggregated traffic sources obtained with the model are discussed

Keywords

codecs; data compression; statistical analysis; telecommunication traffic; video equipment; aggregated traffic sources; amount of motion; amount of scene change; autocorrelation; bit-rate distribution; data compression; first-order autoregressive process; motion activities; motion-classified model; scene changes; statistical analysis; time-varying parameters; variable bit rate video; video codec; video traffic; B-ISDN; Bit rate; ISDN; Layout; Mathematical model; Telecommunication traffic; Traffic control; Video codecs; Video compression; Video sharing;

fLanguage

English

Journal_Title

Circuits and Systems for Video Technology, IEEE Transactions on

Publisher

ieee

ISSN

1051-8215

Type

jour

DOI

10.1109/76.180689

Filename

180689