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- W2157658397 abstract "In this paper we explore the way to allow a user to interactively organize a multimedia database through a dynamic interface, creating its own 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." @default.
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- W2157658397 date "2008-10-01" @default.
- W2157658397 modified "2023-10-01" @default.
- W2157658397 title "Dynamic organization of audiovisual database using a user-defined similarity measure based on low-level features" @default.
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- W2157658397 doi "https://doi.org/10.1109/icip.2008.4711684" @default.
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