Espinosa Gútiez, Silvia and Ordieres Mere, Joaquin Bienvenido and Bello García, Antonio
Multiple Hashing Integration for Real-Time Large Scale Part-to-Part Video Matching.
In: "VII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA 2013) . IV Congreso Nacional de Informática. CEDI 2013", 17/09/2014 - 20/09/2014, Madrid, España. ISBN 978-84-695-8348-7. pp. 1437-1446.
A real-time large scale part-to-part video matching algorithm, based on the cross correlation of the intensity of motion curves, is proposed with a view to originality recognition, video database cleansing, copyright enforcement, video tagging or video result re-ranking. Moreover, it is suggested how the most representative hashes and distance functions - strada, discrete cosine transformation, Marr-Hildreth and radial - should be integrated in order for the matching algorithm to be
invariant against blur, compression and rotation distortions: (R; _) 2 [1; 20]_[1; 8], from 512_512 to 32_32pixels2 and from 10 to 180_. The DCT hash is invariant against blur and compression up to 64x64 pixels2.
Nevertheless, although its performance against rotation is the best, with a success up to 70%, it should be combined with the Marr-Hildreth distance function. With the latter, the image selected by the DCT hash should be at a distance lower than 1.15 times the Marr-Hildreth minimum