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PPT : Improving the Utility of Automated Processing for Digital Video Archives

Content Inside :

Talk Outline
* Automatically creating metadata for digital video
* Informedia demonstrations (oral history collection, news video collection)
* Types of search: beyond fact-finding
* Exploratory search through multiple views
* Evaluation hurdles
* Discussion

…now is a perfect opportunity for leveraging user involvement for better video information-seeking experiences

User Involvement
* User Correction: Corrective action for metadata errors (analogous to Harry Shum’s vision at Microsoft for human-assisted computer vision success)
* User Control: Driving the interface to overcome metadata errors
* User Context: More useful interfaces driven implicitly by context

CMU Informedia Digital Video Research
* Details at: http://www.informedia.cs.cmu.edu
* Speech recognition and alignment
* Image processing
* Named entity tagging
* Synchronized metadata for search and navigation
* Fast, direct video access to oral histories, news, etc.
* Demonstration oral history corpus: 913 hours of interviews from 400 individuals, 18,254 interview story segments (average story segment length of 3 minutes)
* Demonstration news corpus: TRECVID 2006 test set (165 hours of U.S., Arabic, and Chinese news with 79,484 reference shots)

Speech Recognition Functions
* Generates transcript (if one is not given) to enable text-based retrieval from spoken language documents
* Improves text synchronization to audio/video in presence of scripts (align speech with text)
* Supplies necessary information for library segmentation and multimedia abstractions (e.g., break stories apart at silence points rather than in the middle of sentences)

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PPT : Improving the Utility of Automated Processing for Digital Video Archives Category : Digital Video
Source : www.cs.cmu.edu
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