Authors: Atta Badii, Daniel Thiemert
Addresses: Intelligent Media Systems and Services, School of Systems Engineering, University of Reading, Whiteknights, Reading, RG6 6AY, UK. ' Intelligent Media Systems and Services, School of Systems Engineering, University of Reading, Whiteknights, Reading, RG6 6AY, UK
Abstract: Fingerprinting is a well known approach for identifying multimedia data without having the original data present but instead what amounts to its essence or |DNA|. Current approaches show insufficient deployment of various types of knowledge that could be brought to bear in providing a fingerprinting framework that remains effective, efficient and can accommodate both the whole as well as elemental protection at appropriate levels of abstraction to suit various Zones of Interest (ZoI) in an image or cross media artefact. The proposed framework aims to deliver selective composite fingerprinting that is powerfully aided by leveraging both multi-modal information as well as a rich spectrum of collateral context knowledge including both image-level collaterals and also the inevitably needed market intelligence knowledge such as customers| social networks interests profiling which we can deploy as a crucial component of our fingerprinting collateral knowledge.
Keywords: multi-modal fingerprinting; robust hash; multimedia data; data protection; assets; DNA; fingerprints; zones of interest; images; cross media artefacts; selective composite fingerprinting; leverage; multi-modal information; collateral contexts; image-level collaterals; market intelligence; customer profiles; social networks; internet; world wide web; collateral knowledge; business information systems; simulation; business modelling.
International Journal of Business Information Systems, 2010 Vol.6 No.1, pp.133 - 149
Published online: 06 Jul 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article