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SAMMI

Semantic Affect-Enhanced MultiMedia Indexing

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Semantic Multimedia (SAMT 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4816))

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Abstract

Multimedia indexing is about developing techniques allowing people to effectively find media. Content-based methods become necessary when dealing with big databases. Current technology allows exploring the emotional space which is known to carry very interesting semantic information. In this paper we state the need for an integrated method which extracts reliable affective information and attaches this semantic information to the medium itself. We present a list of possible applications and advantages that the emotional information can bring about together with a framework called SAMMI and the preliminary results of this newly initiated research work.

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Bianca Falcidieno Michela Spagnuolo Yannis Avrithis Ioannis Kompatsiaris Paul Buitelaar

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© 2007 Springer-Verlag Berlin Heidelberg

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Paleari, M., Huet, B., Duffy, B. (2007). SAMMI. In: Falcidieno, B., Spagnuolo, M., Avrithis, Y., Kompatsiaris, I., Buitelaar, P. (eds) Semantic Multimedia. SAMT 2007. Lecture Notes in Computer Science, vol 4816. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77051-0_39

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  • DOI: https://doi.org/10.1007/978-3-540-77051-0_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77033-6

  • Online ISBN: 978-3-540-77051-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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