Assisted video sequences indexing: motion analysis based on interest points

Author

Etiévent, Emmanuel ; Lebourgeois, Frank ; Jolion, Jean-Michel

Author_Institution

Lab. Reconnaissance de Formes et Vision, INSA, Villeurbanne, France

fYear

1999

fDate

1999

Firstpage

1059

Lastpage

1062

Abstract

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

Keywords

content-based retrieval; data compression; database indexing; image motion analysis; image sequences; object detection; visual databases; assisted video sequence indexing; compressed sequences; compressed video; content-based video indexing; image queries; interest points; motion analysis; motion queries; moving object detection; semi-automatic analysis; video summarising; Electrical capacitance tomography; Image coding; Image retrieval; Indexing; Motion analysis; Motion detection; Object detection; TV; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Processing, 1999. Proceedings. International Conference on

Conference_Location

Venice

Print_ISBN

0-7695-0040-4

Type

conf

DOI

10.1109/ICIAP.1999.797738

Filename

797738