File:News visualization.jpg
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| Description |
English: Automated, Intelligent Broadcast Video Content Analysis
News visualization topics are arranged according to “interestingness” for a given time period. Hottest topics (those most reported) appear in the central column. Side columns are used for topics of lesser impact by the interestingness measure. A multimodal data analysis is applied to concurrent visual signals, auditory signals, and, when available, closed caption text. The analysis is general and unstructured; it can be applied, for example, to broadcast video in any language. We have applied the analysis to automatically identify and segment news broadcasts. However, the methods can be applied to identify and segment other broadcast types as well. |
| Date | |
| Source | VAC Vieuws feb 2007 op nvac.pnl.gov. p.9. |
| Author | VAC news |
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
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| current | 17:29, 14 July 2008 | | 525 × 635 (63 KB) | Mdd (talk | contribs) | {{Information |Description={{en|1=Topics arranged according to “interestingness” for a given time period. Hottest topics (those most reported) appear in the central column. Side columns are used for topics of lesser impact by the interestingness measu |
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