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This paper describes a novel browsing paradigm, taking benefit of the various types of links (e.g. thematic, temporal, references, etc.) that can be automatically built between multimedia documents. This browsing paradigm can help eliciting multimedia archives' hidden structures or expanding search results to related media. The paper intend to present a novel model for browsing any kind of multimedia archives and further focuses on an archive of meetings recordings, in order to illustrate the advantage of our method to perform cross-meetings and in general cross-documents browsing. First of all, the structure of meeting datasets is presented, describing in particular the media implied, the annotations used for cross-document linking and the major mining techniques integrated in this work. Then, the paper presents at a glance the visual browser we developed that combines searching and browsing by links. Further, the performances of the actual system are discussed, i.e. the automatic indexing and linking processes for the two different meeting corpora, as well as the access and browsing performances. Finally, the paper presents the major unsolved issues and our perspectives for future works. [ABSTRACT FROM AUTHOR]

In an age characterized by tremendous technological breakthroughs, the world is witnessing overwhelming quantities and types of information. Digital Libraries (DLs) are a result of these breakthroughs, but they have not been spared by the challenges resulting from them. While DLs stakeholders are still struggling to come to terms with the massive quantities and complex types of information, the needs of the digital library as an information/knowledge environment is still evolving including new challenging needs. Information Visualization (Infovis) represents a viable solution to this. The human-vision channel has a high bandwidth and it can surveil a visual field in a parallel manner, processing the corresponding data to different levels of detail and recognition and understanding of overwhelming data can be done at an instant. It is an outstanding resource that can be exploited within a DLs in order to address issues arising from the conventional needs (such as the quantities and types of information) and the non-conventional needs. Here we analyze Infovis as a resource for DLs, relating visualization techniques to specific DLs needs, providing a classification of Infovis techniques and reporting about our analysis of DLs tasks and their correspondence with suitable visualizations. [ABSTRACT FROM AUTHOR]