Spatial-motion clustering for video compression

Author

Wanderley, Juliana F Camapum

Author_Institution

Dept. de Engenharia Eletrica, Brasilia Univ., Brazil

fYear

2002

fDate

13-16 Oct. 2002

Firstpage

98

Lastpage

101

Abstract

The most significant contribution of this paper is the algorithm for the segmentation of videoconference image sequences for content-based coding. The segmentation is based on motion estimation trough the computation of the optical flow field and motion segmentation by applying a graph-theoretical clustering. A visual collaboration environment for desktop is being implemented and tested. The segmentation algorithm is added to the video codec of this videoconference environment which is based on the OpenH323 project. In addition, an overview of the state of the art of segmentation based video coding aimed at low-bit rate application is presented.

Keywords

graph theory; image segmentation; image sequences; motion estimation; optimisation; pattern clustering; teleconferencing; video codecs; video coding; content-based coding; graph-theoretical clustering; image segmentation; motion estimation; optical flow field; optimization; spatial-motion clustering; spatiotemporal segmentation; video codec; video coding; video compression; videoconference image sequences; visual collaboration; Clustering algorithms; Image coding; Image motion analysis; Image segmentation; Image sequences; Motion estimation; Motion segmentation; Optical computing; Video compression; Videoconference;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop. Proceedings of 2002 IEEE 10th

Print_ISBN

0-7803-8116-5

Type

conf

DOI

10.1109/DSPWS.2002.1231084

Filename

1231084