inria-00510162, version 1
Content based access for a massive database of human observation video
Laurent Joyeux 1Erika Doyle 1Hugh Denman 1Andy CrawsordAdrien Bousseau
2Anil Kokaram 1Ray Fuller 1
MIR '04: Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval (2004) 46 -- 52
Abstract: We present in this paper a CBIR system for use in a psychological study of the relationship between human movement and Dyslexia. The system allows access to up to 500 hours of video and is an example of a scientific user context. This user context requires 100% accurate indexing and retrieval for a set of specific queries. This paper presents a novel use of interactive visual and audio cues for attaining this level of indexing performance. Furthermore, the issue of motion estimation accuracy in the presence of compression artifacts is explored as part of the data integrity storage problem. In addition, content based motion analysis techniques accurate enough to parse sequences on the basis of motion and objectively evaluate that motion are investigated. The tool allows Psychologists to undertake a study that would previously be impractical and the paper presents a number of lessons gained from the ongoing work.
- 1: Department of Computer Science - Trinity College Dublin
- University of Dublin
- 2: ARTIS (IMAG-INRIA Rhône-Alpes / GRAVIR)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- Domain : Computer Science/Computer Graphics and Virtual Reality
- Keywords : content retrieval – dyslexia – human body motion – tracking – video retrieval
- inria-00510162, version 1
- http://hal.inria.fr/inria-00510162
- oai:hal.inria.fr:inria-00510162
- From: Team Evasion
- Submitted for:
- Submitted on: Wednesday, 13 October 2010 15:56:06
- Updated on: Thursday, 14 October 2010 08:55:59







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