C4.5: programs for machine learning
C4.5: programs for machine learning
Automatic recognition of film genres
Proceedings of the third ACM international conference on Multimedia
Automatic Genre Identification for Content-Based Video Categorization
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Perceptive Visual Texture Classification and Retrieval
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
Enhanced ontologies for video annotation and retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Video classification using spatial-temporal features and PCA
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
ICMCS '99 Proceedings of the 1999 IEEE International Conference on Multimedia Computing and Systems - Volume 02
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
A rule-based video annotation system
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper we introduce a new approach to multimedia data semantic characterisation and in particular television programmes fingerprinting, based on multimodal content analysis and fuzzy clustering. The definition of the fingerprints can be seen as a space transformation process , which maps each programme description from the surrogate vector space to a new vector space, defined through a fuzzy clustering method. The fuzzy fingerprint model is well suited for similarity based information retrieval, and it captures "semantic" similarities coming from common pattern in the programme data, at different semantic levels.