H.264/SVC scene motion analysis

Author

Kas, Christian ; Nicolas, Henri

Author_Institution

LaBRI, Univ. of Bordeaux 1, Talence

fYear

2009

fDate

19-24 April 2009

Firstpage

957

Lastpage

960

Abstract

We present a simple and lightweight approach to scene analysis in the H.264/SVC domain. The method is entirely based on the motion vectors found in the compressed stream. Motion segmentation and object detection is performed after the estimation of the camera motion. Important object properties are calculated, which are used for object matching and trajectory estimation. The relative distance to the camera is estimated, resulting in a pseudo 3-D representation of the object trajectories.

Keywords

data compression; image matching; image representation; image segmentation; motion estimation; object detection; video coding; H.264/SVC scene motion analysis; camera motion estimation; compressed stream; motion segmentation; motion vectors; object detection; object matching; pseudo 3D representation; trajectory estimation; Cameras; Image analysis; Layout; Low pass filters; Motion analysis; Motion estimation; Object detection; Static VAr compensators; Streaming media; Video compression; H.264/SVC; compressed domain; scene analysis; trajectory estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4959744

Filename

4959744