Skip to Main content Skip to Navigation
Conference papers

Trajectory-Based Video Indexing and Retrieval Enabling Relevance Feedback

Abstract : This paper is proposing an approach for retrieving videos based on object trajectories. First, a trajectory is translated into a sequence of symbols based on a symbolic representation, beyond the initial numeric representation, which does not suffer from scaling, translation or rotation. Then, in order to compare trajectories based on their symbolic representations, two similarity measures are proposed, inspired by works in bioinformatic. Moreover, based on these similarity measures, two relevance feedback strategies are given. Experimental results for two databases show that the proposed similarity measures gave results as good as other existing measures. Real advantages of these measures are the possibility for the partial matching and for relevance feedback.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Thi Lan Le Connect in order to contact the contributor
Submitted on : Friday, November 9, 2007 - 6:26:17 AM
Last modification on : Saturday, January 27, 2018 - 1:30:45 AM
Long-term archiving on: : Monday, September 24, 2012 - 3:05:30 PM


Files produced by the author(s)


  • HAL Id : inria-00186401, version 1



Thi Lan Le, Alain Boucher, Monique Thonnat. Trajectory-Based Video Indexing and Retrieval Enabling Relevance Feedback. First International Conference on Communications and Electronics (ICCE'06), Oct 2006, Hanoi, Vietnam. ⟨inria-00186401⟩



Record views


Files downloads