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ABSTRACT

The overarching goal of the Informedia Digital Video Library project, initiated in 1994 as a Digital Library Initiative (DLI), has been to achieve machine understanding of video media, including all aspects of search, retrieval, visualization and summarization. The base technology developed by the Informedia project combines speech, image and natural language understanding to automatically transcribe, segment and index broadcast video for intelligent search and image retrieval.  Our CareMedia research creates a meaningful, manageable information resource based on video observations enabling more complete and accurate assessment, diagnosis, treatment, and evaluation of behavioral problems for the elderly.

I present insights from a decade of video library research, as well as our current effort in the health care domain, with emphasis on ongoing work towards a large scale ontology for video description and the use of existing video description standards such as MPEG-7.

PRESENTATION available in PowerPoint.

BIOGRAPHY

Alex Hauptmann is Senior Systems Scientist in Computer Science at Carnegie Mellon University, and also a faculty member in the Language Technologies Institute. His current main interest has been on multi-media analysis and retrieval. Other research interests include speech recognition and interfaces, translation and natural language in general. Most of his time is spent on the Informedia Digital Video Library project (www.informedia.cs.cmu.edu). He is also pursuing projects on video observations for patient care for the elderly and personal wearable memory devices.  

Alex holds a BA and MA degree in Psychology from Johns Hopkins University, a 'Diplom' in Computer Science from the Technische Universitaet Berlin (and obtained a Ph.D. in Computer Science at Carnegie Mellon.