SIRSALE: a large scale video indexing and content-based retrieving system

Authors:
Ahmed Mostefaoui;Loic Favory;Lionel Brunie
Affiliations:
Franche-Comté Computing Laboratory, 4 place Tharradin, BP 71427, Montbéliard, France;National Institute of Applied Sciences, Lyon, France;National Institute of Applied Sciences, Lyon, France
Venue:
Proceedings of the tenth ACM international conference on Multimedia
Year:
2002

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Abstract

This paper presents the SIRSALE system. SIRSALE is a video management system that allows users to deal with video streams stored in distributed repositories. SIRSALE is based on a modular model that allows adapting the system to deal with specific semantic contexts. Thus SIRSALE allows users to browse documents by structures (shots, scenes, sequences), to annotate the content of the video documents and to query the database by content, by using a graphical tool adapted to the user's specific topic of interest. The system has been demonstrated to professionals with a positive feedback.