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Title: Multimedia in forensics, security, and intelligence
Authors: Battiato, Sebastiano
Emmanuel, Sabu
Ulges, Adrian
Worring, Marcel
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Battiato, S., Emmanuel, S., Ulges, A., & Worring, M. (2012). Multimedia in forensics, security, and intelligence. IEEE multimedia, 19(1), 17-19.
Series/Report no.: IEEE multimedia
Abstract: With the proliferation of multimedia data, it has become necessary to secure this content from illegal use, efficiently detect and reconstruct illegal activities from it, and use it as a source of intelligence. Serious challenges arise from the sheer data volume, however. The multimedia research community has developed many exciting solutions for dealing with video footage, images, audio, and other multimedia content over recent years, including knowledge extraction, automatic categorization, and indexing. Although this work forms an excellent foundation for protecting and analyzing multimedia content, challenges remain in the complexity of the targeted material, the lack of structure and metadata, and other application-specific constraints. This special issue provides an overview of current research following this mission. The articles originally appeared at the ACM Multimedia 2010 Workshop on Multimedia in Forensics, Security, and Intelligence (MiFor). The six high-quality contributions cover various approaches in the field, ranging from the visual recognition of faces and tattoos to the discovery of near duplicates and content tampering.
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Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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