Type

Conference Proceedings

Authors

Noel E. O'Connor
Yannis Avrithis
Eddie Cooke
Theofilos Mailis
Hervé Le Borgne
Evaggelos Spyrou

Subjects

Computer Science

Topics
svm classifier classification techniques image content level 7 mpeg 7 image classification information retrieval content based classification

Fusing MPEG-7 visual descriptors for image classification (2005)

Abstract This paper proposes three content-based image classification techniques based on fusing various low-level MPEG-7 visual descriptors. Fusion is necessary as descriptors would be otherwise incompatible and inappropriate to directly include e.g. in a Euclidean distance. Three approaches are described: A “merging” fusion combined with an SVM classifier, a back-propagation fusion combined with a KNN classifier and a Fuzzy-ART neurofuzzy network. In the latter case, fuzzy rules can be extracted in an effort to bridge the “semantic gap” between the low-level descriptors and the high-level semantics of an image. All networks were evaluated using content from the repository of the aceMedia project1 and more specifically in a beach/urban scene classification problem.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Noel E. O'Connor, Yannis Avrithis, Eddie Cooke, Theofilos Mailis, Hervé Le Borgne, Evaggelos Spyrou

Experts in our system

1
Noel E. O'Connor
Dublin City University
Total Publications: 420