Optical Font Recognition Using Typographical Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ontology-based web site mapping for information exploration
Proceedings of the eighth international conference on Information and knowledge management
H204M — watermarking for media: classification, quality evaluation, design improvements
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Content-based Image Retrieval Using Gabor-Zernike Features
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Color features for image fingerprinting
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Spatio–Temporal Transform Based Video Hashing
IEEE Transactions on Multimedia
Fusing audio-visual fingerprint to detect TV commercial advertisement
Computers and Electrical Engineering
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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.