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Dynamic organization of audiovisual database using a user-defined similarity measure based on low-level features

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4 Author(s)
Jeremy Philippeau ; IRIT UMR 5505 CNRS-INP-UT1-UPS, 118 Route de Narbonne, 31062 Toulouse Cedex 9, FRANCE ; Julien Pinquier ; Philippe Joly ; Jean Carrive

In this paper we explore the way to allow a user to interactively organize a multimedia database through a dynamic interface, creating its own "audiovisual concepts" freely. The user defines distances on a small subset of documents, using low-level audio and video off-line automatically extracted descriptors. The semi-supervised learning process, relying on support vector regression used in an early fusion context, leads to generate a behavioral model of those descriptors thanks to human interaction, creating a personal audiovisual similarity measure.

Published in:

2008 15th IEEE International Conference on Image Processing

Date of Conference:

12-15 Oct. 2008