submitted to NAB 2003 (Las Vegas, USA, 2003)
This paper describes a multimedia, multilingual and multimodal research system (CIMWOS) supporting content-based indexing, archiving, retrieval and on-demand delivery of audiovisual content. CIMWOS (Combined IMage and WOrd Spotting) incorporates an extensive set of multimedia technologies by seamless integration of three major subsystems – text, speech and image processing – producing a rich collection of XML metadata annotations following the MPEG-7 standard. These XML annotations are further merged and loaded into the CIMWOS Multimedia Database. Additionally, they can be dynamically transformed for interchanging semantic-based information into RDF and Topic Maps documents via XSL stylesheets. The CIMWOS Retrieval Engine is based on a weighted boolean model with intelligent indexing components. An ergonomic and user-friendly web-based interface allows users to efficiently retrieve video segments by a combination of media description, content metadata and natural language text. The database is a large collection of broadcast news and documentaries in three languages (English, Greek, and French), while the open architecture allows for more languages to be incorporated in the future.
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