Title :
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
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;
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
DOI :
10.1109/ICIAP.1999.797738
