CIMWOS: A Multimedia Retrieval System based on Combined Text, Speech and Image Processing
|Authors:||Harris Papageorgiou; Prokopis Prokopidis; Iason Demiros; Nick Hatzigeorgiu; George Carayannis|
|Book title:||RIAO 2004 Conference Proceedings: Coupling approaches, coupling media and coupling languages for information retrieval|
|Address:||University of Avignon (Vaucluse), France|
|Organization:||Le Centre de Hautes Etudes Internationales D'Informatique Documentaire (C.I.D.)|
In this paper, we present a multimedia, multimodal and multilingual system that has been developed in the framework of the CIMWOS project, supporting content-based indexing, archiving, retrieval and on-demand delivery of audiovisual content. We have conducted research on emerging technologies for multimedia data processing, indexing and retrieval, and embedded them in a video library system that covers sports, broadcast news and documentaries in English, French and Greek. The CIMWOS Digital Video Library uses intelligent, automatic mechanisms that provide full-content search and retrieval from a large (scaling to several hours) online digital video library. The tools that we have developed during the project, can automatically populate the library and support access to it. The approach that we follow uses combined speech, language and image understanding technology to automatically transcribe, segment and index the video.