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Automated Video Indexing and Summarization: Advancing Multimodal Information Discovery

The VACE project aims to revolutionize video information retrieval through automated indexing of video streams based on multimodal content. Utilizing the Informedia infrastructure, this initiative enhances speech-centric metadata extraction by integrating image content and visual characterizations. The system provides a testbed for demonstrating advanced algorithms, enabling the automatic creation of multimedia abstractions and video collages summarizing events. Milestones include successful installations at DIA and NSA, as well as the development of interactive multimodal queries and geographic visualizations.

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Automated Video Indexing and Summarization: Advancing Multimodal Information Discovery

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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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