We describe 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 components - speech, text 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 documents via XSL stylesheets. The CIMWOS Retrieval Engine is based on a weighted boolean model with intelligent indexing components. A user-friendly webbased interface allows users to efficiently retrieve video segments by a combination of media description, content metadata and natural language text. The database includes sports, broadcast news and documentaries in three languages. © Springer-Verlag 004.
CITATION STYLE
Papageorgiou, H., & Protopapas, A. (2004). The CIMWOS multimedia indexing system. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3115, 619–627. https://doi.org/10.1007/978-3-540-27814-6_72
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