Assisted Video Sequences Indexing : Motion Analysis Based on Interest Points

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

This work deals with content-based video indexing. Our viewpoint is semi-automatic analysis of compressed video. We consider the possible applications of motion analysis and moving object detection : assisting moving object indexing, summarising videos, and allowing image and motion queries. We propose an approach based on interest points. As first results, we test and compare the stability of different types of interest point detectors in compressed sequences.
HTML, 8 pages, 6 figures, http://rfv.insa-lyon.fr/~etievent/

Keywords

Computer Vision and Pattern Recognition, I.4.8; I.4.9

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/30249

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0004012
 http://arxiv.org/abs/cs/0004012
 Iciap 99, Venezia, 27-29 sept., 1059-1062

Collections

arXiv