Multimedia data is an increasingly important information medium today. Providing intelligent access for effective use of this information continues to offer challenges in digital library research. As computer vision, image processing and speech recognition research continue to progress, we examine the effectiveness of these fully automated techniques in architecting effective video retrieval systems. We present semi-automated techniques that combine manual input, and video and speech technology for automatic content characterization integrated into a- single system we call Cue Video. CueVideo integrates voice and manual annotation, attachment of related data, visual content search technologies(QBICtm), and novel multiview storyboard generation to provide a system where the user can incorporate the type of semantic information that automatic techniques would fail to obtain.
By: Dulce Ponceleon, Savitha Srinivasan, Dragutin Petkovic, Dan Zivkovic
Published in: RJ10115 in 1998
LIMITED DISTRIBUTION NOTICE:
This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.
Questions about this service can be mailed to reports@us.ibm.com .