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Accessing News Video Libraries through Dynamic Information Extraction, Summarization, and Visualization
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Accessing News Video Libraries through Dynamic Information Extraction, Summarization, and Visualization
Michael G. Christel6 
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Computer Science Department and HCI Institute, Carnegie Mellon University, 5000 Forbes Ave., 15213 Pittsburgh, PA, USA |
Abstract
The Informedia Project has developed and evaluated surrogates, summary interfaces, and visualizations for accessing a digital
video library containing thousands of documents and terabytes of data. This chapter begins with a review of Informedia surrogates
for a single video document, including titles, storyboards, and skims. Incorporating textual elements, considering user context
and emphasizing phrases over words have all led to better video surrogates. These lessons have driven the development of direct
manipulation interfaces and visualization strategies for exploring news video libraries. Summarization strategies employed
in the Informedia Project for sets of broadcast news video documents are discussed, concluding with the research challenges
in building visual interfaces from vast quantities of image data and imperfect automatic video processing.
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