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Information fusion for multimedia: exploiting feature interactions for semantic feature selection and construction

Defense Thèse de doctorat : Univ. Genève, 2010 - Sc. 4282 - 2010/12/10
Abstract The joint processing of multimedia data received a lot of attention by computer science engineers and researchers in the last decade. This is for once due to the flood of multimedia data such as videos and photographs that are easily created nowadays due to ubiquitous capturing devices like cameras in mobile phones and that can be instantly published in the Internet. Secondly, the success of content-only processing approaches that only use the visual modality stayed behind expectations so far. Therefore, the fusion of multiple information sources, so called modalities, came into the focus of interest. Other application areas of multi modal fusion are, for example, biometric identification and emotion recognition systems, where it is hoped to increase accuracy and reliability over mono modal systems.
Keywords Multimodal Information FusionAttribute Relevance DetectionMultivariate Information MeasuresSemantic LearningAttribute Selection and Construction
Stable URL https://archive-ouverte.unige.ch/unige:14539
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URN: urn:nbn:ch:unige-145394
Research group Computer Vision and Multimedia Laboratory

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Deposited on : 2011-03-01

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