A bridge between block matching and semantic (model based) motion estimation

Author

Carpentieri, B.

Author_Institution

Dipt. di Inf. ed Applicazioni, Salerno Univ., Italy

Volume

2

fYear

1997

fDate

2-4 Jul 1997

Firstpage

1131

Abstract

We present the split-merge displacement estimation algorithm as a bridge between the standard, block matching, displacement estimation technique and the semantic motion estimation techniques. We review this new technique and its applications in video compression and show how it can be used to maintain two different segmentation of the current visual field: a spatial segmentation identifying the objects that are present in the scene and a classification of the visual field into moving areas, that keeps track over time of the relationships between the objects

Keywords

data compression; image classification; image matching; image segmentation; image sequences; motion estimation; video coding; block matching; displacement estimation; image sequences; model based motion estimation; moving areas; semantic motion estimation; spatial segmentation; split-merge displacement estimation algorithm; video compression; visual field classification; visual field segmentation; Bridges; Guidelines; Image coding; Image color analysis; Image segmentation; Layout; Motion estimation; Utility programs; Video coding; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on

Conference_Location

Santorini

Print_ISBN

0-7803-4137-6

Type

conf

DOI

10.1109/ICDSP.1997.628565

Filename

628565