The main research objective of this Thesis is to tackle issues related to multimedia content processing, search and retrieval, under the prism of context, as the latter is expressed in the fields of knowledge adaptation and information access. More specifically, the main research motivation was caused by two major research fields: (i) multimedia content personalization and (ii) multimedia content analysis based on visual context. It tackles issues such as data mining, thematic categorization of multimedia documents, multimedia personalization, retrieval and ranking of personalized multimedia documents, knowledge-assisted analysis optimization through visual context exploitation, mid-level visual analysis and context utilization, contextual image classification problems, etc. Towards this direction, it presents research results and indicative implementations/applications, in order to facilitate the proposed interpretation.
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