Title :
Content fingerprinting from an industry perspective
Author_Institution :
Motion Picture Laboratories, Inc. (MovieLabs), USA
fDate :
June 28 2009-July 3 2009
Abstract :
Content recognition technology, particularly digital fingerprinting of audio and video content, has important applications in the distribution of movies and television programming on the Internet. However, the identification process is complex as distributed content is often substantially altered prior to distribution through processes such as cropping, shape transformations, noise, signal distortion and transcoding that make recognition difficult. Fingerprinting has emerged as a robust and general approach to content identification. MovieLabs and the Motion Picture Association of America have been conducting tests of various fingerprint algorithms against real-world content. Our findings indicate that the best algorithms can achieve match accuracy greater than 98% with a 0% misrecognition (false positive) rate against severely transformed content. This paper describes applications of content recognition, fingerprinting, criteria and methods for evaluating fingerprinting, and describes our fingerprint testing.
Keywords :
Internet; fingerprint identification; Internet; Motion Picture Association; MovieLabs; audio content; content fingerprinting; content identification; content recognition technology; cropping; digital fingerprinting; fingerprint testing; identification process; industry perspective; movies programming; shape transformations; television programming; video content; Distortion; Fingerprint recognition; Internet; Motion pictures; Noise shaping; Shape; Signal processing; TV; Testing; Transcoding; P2P; UGC; content recognition; fingerprint; watermark;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202794