Semantic multimedia authentication with model vector signature

We propose novel techniques for image/video authentication at the semantic level. These methods use statistical learning, visual object segmentation and classification schemes for semantic understanding of visual content. A public digital signature, robust to rotation, scaling, and translation, is g...

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Bibliographic Details
Main Authors: Ching-Yung Lin, Tseng, B.L.
Format: Conference Proceeding
Language:English
Subjects:
Airplanes
Applied sciences
Artificial intelligence
Authentication
Computer science
control theory
systems
Digital signatures
Exact sciences and technology
Filtering
Hidden Markov models
Multimedia systems
Object segmentation
Pattern recognition. Digital image processing. Computational geometry
Robustness
Statistical learning
Support vector machines
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Description
Summary:We propose novel techniques for image/video authentication at the semantic level. These methods use statistical learning, visual object segmentation and classification schemes for semantic understanding of visual content. A public digital signature, robust to rotation, scaling, and translation, is generated. The authentication process is executed by comparing the classification result with the information carried by the digital signature. This method leads the authentication system to learn the semantic content of multimedia data and to perform the authentication task at the semantic level.
DOI:10.1109/ICME.2004.1394222