The overarching goal of the Informedia initiatives is to achieve machine understanding of video and film media, including all aspects of search, retrieval, visualization and summarization in both contemporaneous and archival content collections. The base technology developed under Informedia-I combines speech, image and natural language understanding to automatically transcribe, segment and index linear video for intelligent search and image retrieval. Informedia-II seeks to improve the dynamic extraction, summarization, visualization, and presentation of distributed video, automatically producing collages and auto-documentaries that summarize documents from text, images, audio and video into one single abstraction.

Research efforts underway apply Informedia technology to the domains of education, health care, defense intelligence and the coordination and understanding of human activity. Informedia also has international digital library collaborations in Europe and Asia that have produced multilingual, multi-cultural and cross-lingual versions.

For complete information visit the project web site at http://www.Informedia.cs.cmu.edu

Our subprojects include:

• Informedia-I: Integrated Speech, Image & Language Understanding for Creating Digital Video Libraries
  
• Informedia-II: Integrated Video Information Extraction and Synthesis for Adaptive Presentation and Summarization from Distributed Libraries
  
• Informedia Collaborations
  
• Capturing, Coordinating & Remembering Human Experience
  
• CareMedia: Automated Video and Sensor Analysis for Geriatric Care
  
• ENVIE: Extensible News Video Information Exploitation
  
• Question and Answering from Errorful Multimedia Streams
  
• Threading Information Pathways Through NSDL Video
  
• Video Information Summarization and Demonstration Testbed