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Image search / Information retrieval / Internet search engines / Artificial intelligence applications / Image retrieval / Video search engine / Content-based image retrieval / Text Retrieval Conference / Document retrieval / Information science / Science / Artificial intelligence


THE VisOR SYSTEM: TESTING THE UTILITY OF USER INTERFACE COMPONENTS FOR FEATURE BASED SEARCHING IN VIDEO RETRIEVAL SOFTWARE by Richard Gruss
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Document Date: 2013-08-31 11:12:42

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File Size: 1,11 MB

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Company

Canon / Apple’s Final Cut Pro / Information Retrieval Information Systems / Adobe / MySQL / Sony / VIDEO RETRIEVAL SOFTWARE / /

Currency

USD / /

Facility

National Institute of Standards and Technology / University of North Carolina / Library Science / Chapel Hill / /

IndustryTerm

Quality video editing software / keyword search field / software projects / retrieval software / neural networks / typical search tasks / Internet Archive / video search interface / normal search tasks / comparison algorithm / retrieval tool / search tasks / digital video products / software package / search results / retrieval systems / /

MarketIndex

Canon Consumer Digital Lifestyle / /

NaturalFeature

Chapel Hill / /

Organization

National Institute of Standards and Technology / University of North Carolina / School of Information and Library Science / Carnegie Mellon / /

Person

Richard Gruss / Gary J. Marchionini / /

Position

librarian / Advisor / Premier / /

ProvinceOrState

North Carolina / /

Technology

speech recognition / OCR / ASCII / comparison algorithm / digital cameras / digital video / /

URL

http /

SocialTag