Abstract
Content based multimedia retrieval systems have been proposed to allow for automatic and efficient indexing and retrieval of the increasing amount of audiovisual data (image, video and audio clips). The search for specific persons within this data is an important subtopic due to its large range of applications. This article describes an original system for multimodal person search and provides some initial performance results that demonstrate the efficiency of the system.
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© 2007 Springer-Verlag Berlin Heidelberg
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Goldmann, L., Samour, A., Sikora, T. (2007). Towards Person Google: Multimodal Person Search and Retrieval. 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_37
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DOI: https://doi.org/10.1007/978-3-540-77051-0_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77033-6
Online ISBN: 978-3-540-77051-0
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