Dynamic media content categorisation method
The present invention concerns a method of classifying a media item into a user profile suitability class in a classification system comprising a set of pre-trained artificial neural networks. The method comprising: receiving (101) a media file; extracting (103) a first data stream and a second data stream from the media file, the first media stream comprising first media content of a first media content form, the second data stream comprising second media content of a second, different media content form, the first and second data streams being comprised in the media item; generating (109, 111, 113) a first sequence of first feature vectors describing the first media content; generating (109, 111, 113) a second sequence of second feature vectors describing the second media content; generating (117) at least a first single feature vector representing the first sequence of first feature vectors and the second sequence of second feature vectors, or generating (117) at least a first single feature vector representing at least the first sequence of first feature vectors, and generating (119) a second feature vector representing at least the second sequence of second feature vectors; generating (123) a probability vector at least from the first single feature vector, or at least from the first and second single feature vectors; and assigning (125) a user profile suitability class to the media item based on the probability vector.
66794039
Alternative title(s) : (fr) Procédé de catégorisation de contenu multimédia dynamique
TTO:6.1977
Patent number | Country code | Kind code | Date issued |
US11961300 | US | B2 | 2024-04-16 |
US2022207864 | US | A1 | 2022-06-30 |
EP3963503 | EP | A1 | 2022-03-09 |
WO2020222027 | WO | A1 | 2020-11-05 |