Feature Extraction and a Database Strategy for Video Fingerprinting

This paper presents the concept of video fingerprinting as a tool for video identification. As such, video fingerprinting is an important tool for persistent identification as proposed in MPEG-21. Applications range from video monitoring on broadcast channels to filtering on peer-to-peer networks to meta-data restoration in large digital libraries. We present considerations and a technique for (i) extracting essential perceptual features from moving image sequences and (ii) for identifying any sufficiently long unknown video segment by efficiently matching the fingerprint of the short segment with a large database of pre-computed fingerprints.

[1]  Avideh Zakhor,et al.  Video similarity detection with video signature clustering , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[2]  Alfred Menezes,et al.  Handbook of Applied Cryptography , 2018 .

[3]  Jaap A. Haitsma,et al.  Robust Audio Hashing for Content Identification , 2001 .

[4]  Jiri Fridrich,et al.  Robust bit extraction from images , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[5]  Ruud M. Bolle,et al.  Feature based indexing for media tracking , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

[6]  Shih-Fu Chang,et al.  A robust content based digital signature for image authentication , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[7]  Ramarathnam Venkatesan,et al.  Robust image hashing , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[8]  Gonzalo Navarro,et al.  Fixed Queries Array: A Fast and Economical Data Structure for Proximity Searching , 2001, Multimedia Tools and Applications.

[9]  Mohamed Abdel-Mottaleb,et al.  Signature-based image identification , 1999, Optics East.