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Video Information Summarization and Testbed

Information Exploration & Discovery. ONLINE. Requested Segment. or Summarization. Multimodal. Queries. Indexed Database. 1. 1. 0. 0. 0. 1. Indexed Segmented. 0. 1. 1. 1. 0. 0. 1. 0. Browsing. Transcript Compressed. and Query. & Images. Audio/Video. Refinement.

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Video Information Summarization and Testbed

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  1. Information Exploration & Discovery ONLINE Requested Segment or Summarization Multimodal Queries Indexed Database 1 1 0 0 0 1 Indexed Segmented 0 1 1 1 0 0 1 0 Browsing Transcript Compressed and Query & Images Audio/Video Refinement Distribution To Users Video Information Summarization and Testbed VIDEO ANALYSIS AND CONTENT EXTRACTION (VACE) • The Novel Ideas • Building on the Informedia Digital Video Library infrastructure • Fully automate the indexing of video streams based on multimodal information content • Provide testbed environment for integration and demonstration of VACE Program developed algorithms & techniques • Extend from speech centric metadata extraction to indexing of image content and visual characterizations • Video summaries and multimodal video mining • Automatic creation of multimedia abstractions • Automatic creation of video information collages as summaries over multiple events (e.g. timeline and geospatial tracking) Informedia VACE System Overview Information Collection & Analysis OFFLINE Surveillance Broadcast TV UAV Digital Encoding Indexing Analyst Motion Analysis Object Extraction Speech, Face, TextRecognition Relevant Result Set • Milestones/Dates/Status • Integration Platform Mo/Yr • Installation of demonstrator system at DIA and NSA Dec 2000 • Publication of interface specifications and procedures Mar 2001for data and module integration • Integration of two collaborators into demonstration system Aug 2001 • Modularization of processing architecture Apr 2002 • XML/XSL data interface and display templates Aug 2002 • Visualization/Summarization • Geographic collages with zoom in/out visualization Mar 2001 • Interactive multimodal queries Aug 2001 • Time based collages as event summaries Apr 2002 • Link analysis of metadata co-occurrence Aug 2002 • Impact and Champions • Impact • Provide unified infrastructure for integration and demonstration of systems for • Object detection, recognition and tracking • Audio, speech and natural language understanding • Automatically generated video information summaries and multimodal video mining • Enable the evaluation, testing and validation of research results by analysts in user-focused application • Champions • DIA, NSA Lead Principal Investigator: Howard Wactlar, Carnegie Mellon University Project COTR: William P. Olexy, DIA 10/00

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