Feature Extraction and a Database Strategy for Video Fingerprinting
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Fast and robust short video clip search using an index structure
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Video copy detection: a comparative study
Proceedings of the 6th ACM international conference on Image and video retrieval
Digital camera identification from sensor pattern noise
IEEE Transactions on Information Forensics and Security
Digital Single Lens Reflex Camera Identification From Traces of Sensor Dust
IEEE Transactions on Information Forensics and Security
Nonintrusive Component Forensics of Visual Sensors Using Output Images
IEEE Transactions on Information Forensics and Security
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
Spatio–Temporal Transform Based Video Hashing
IEEE Transactions on Multimedia
Classification of digital camera-models based on demosaicing artifacts
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Image classification for content-based indexing
IEEE Transactions on Image Processing
Source camera identification using enhanced sensor pattern noise
IEEE Transactions on Information Forensics and Security
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We introduce a new video copy detection scheme to complement existing content-based techniques. The idea of our scheme is based on the fact that visual media possess unique characteristics that can be used to link a media to its source. Proposed scheme attempts to detect duplicate and modified copies of a video primarily based on peculiarities of imaging sensors rather than content characteristics only. We demonstrate the viability of our scheme by both analyzing its robustness against common video processing operations and evaluating its performance on real world data. Results show that proposed scheme is very effective and suitable for video copy detection application.