High compression of faces in video sequences for multimedia applications

Author

Torres, Luis ; Prado, Daniel

Author_Institution

Tech. Univ. of Catalonia, Barcelona, Spain

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

481

Abstract

This paper presents a proposal for a novel video coding scheme intended to encode human faces in video sequences at very high compression using a recognition and reconstruction approach. The scheme is based on the well-known eigenspace concepts used in face recognition systems, which have been modified to cope with the video compression application. An adaptive mechanism is presented to update the eigenspace which improves the overall approach. Results are presented which look promising.

Keywords

data compression; eigenvalues and eigenfunctions; face recognition; image reconstruction; image sequences; multimedia communication; principal component analysis; video coding; eigenspace concepts; face recognition systems; human faces encoding; image coding; image recognition; image reconstruction; multimedia applications; principal component analysis; video coding; video compression; video sequences; Face detection; Face recognition; Facial animation; Image coding; Image recognition; Image reconstruction; MPEG 4 Standard; Proposals; Video coding; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on

Print_ISBN

0-7803-7304-9

Type

conf

DOI

10.1109/ICME.2002.1035823

Filename

1035823