Smoothing algorithms for clip-and-paste model-based video coding

Author

Hao, Shu-Sheng ; Lee, Ming-Feng ; Yang, Jar-Ferr

Author_Institution

Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

45

Issue

2

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

427

Lastpage

435

Abstract

Model-based video coding has been adopted as a core experiment in the ISO MPEG-4 standard. The clip-and-paste technique for putting video objects in line is an important tool to reduce the transmission rate. To assist the clip-and-pasting method fitting into the 2-D model, we propose several smoothing algorithms for improving the quality of the reconstructed images. In this paper, the proposed smoothing algorithms can adjust the deformation of the zoom, tilt, and rotation of the object images. A luminance smoothing algorithm is also applied to compensate the light source variations. Simulation results show that the smoothing methods help to improve clip-and-paste images to achieve a satisfactory quality in visual perception

Keywords

image motion analysis; image reconstruction; smoothing methods; video coding; 2-D model; ISO MPEG-4 standard; clip-and-paste model-based video coding; light source variations; luminance smoothing; object images; reconstructed images; rotation; smoothing algorithms; tilt; transmission rate; video objects; visual perception quality; zoom; Bit rate; Cameras; Eyes; Head; Image coding; Image reconstruction; Light sources; Mouth; Smoothing methods; Video coding;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.793428

Filename

793428