Simultaneous motion estimation and resolution enhancement of compressed low resolution video

Author

Mateos, Javier ; Katsaggelos, Aggelos K. ; Molina, Rafael

Author_Institution

Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

653

Abstract

We propose an iterative algorithm for simultaneously estimating the motion field and high resolution frames from a compressed low resolution video sequence. The algorithm exploits the existing correlation between high and low resolution frames and information provided by the encoder, such as coding modes and motion vectors (when available), to obtain a higher resolution frame. The performance of the algorithm is demonstrated experimentally.

Keywords

correlation methods; data compression; image enhancement; image resolution; image sequences; iterative methods; motion estimation; video coding; algorithm; algorithm performance; coding modes; compressed low resolution video; compressed low resolution video sequence; correlation; encoder; high resolution frames; iterative algorithm; low resolution frames; motion estimation; motion field estimation; motion vectors; video resolution enhancement; Biomedical imaging; Cameras; Image coding; Image resolution; Iterative algorithms; Motion estimation; Quantization; Remote sensing; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899793

Filename

899793