Method of evaluating the quality of audio-visual sequences

Details Method of evaluating the quality of audio-visual sequences Method of evaluating the quality of audio-visual sequences

2006-09-12

2006-09-12

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Machine learning

Reexamination Certificate

active

07107251

ABSTRACT:
The invention provides a method of evaluating the quality of an audiovisual sequence by:a) training, comprising allocating a subjective score NSito each of N0training sequences Si(where i=1, 2, . . . , N0) presenting degradations identified by a training vector MO1which is given to each sequence Siin application of a first vectorizing method, in order to build up a database of N0training vectors MOiwith subjective scores NS1;b) classifying the N0training vectors MOiintokclasses of scores as a function of the subjective scores NS1that have been allocated to them, so as to formktraining sets EA (where j=1, 2, . . . , k) which haveksignificant training scores NSRjallocated thereto;c) for each audiovisual sequence to be evaluated, generating a vector MO using said first vectorization method; andd) allocating to the audiovisual sequence for evaluation the significant training score NSRjthat corresponds to the closest training set EAj.

REFERENCES:
Quincy et al. “Expert Pattern Recognition Method and for Technology-Independent Classification of Video,” IEEE, 1988.
Quincy et al. “Speech Quality Assessment Using Expert Pattern Recognition Techniques,” IEEE, 1989.
Expert Pattern Recognition Method for Technology-Independent Classification of Video Transmission Quality, Edmund A. Quincy, et al., Globecom '88, IEEE Global Telecommunications Conference and Exhibition, Hollywood, USA, Nov. 28-Dec. 1, 1988, pp. 1304-1308.
The Development and Correlation of Objective and Subjective Vido Quality Measures, Stephen D. Voran et al., IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, May 9-10, 1991, pp. 483-485.

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