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Infographics / Scientific modeling / Visualization / Computing / Information visualization / Segmentation / Market segmentation / ID3 / Science / Computational science / Computer graphics


Videotater: An Approach for Pen-Based Digital Video Segmentation and Tagging Nicholas Diakopoulos and Irfan Essa College of Computing (IIC), GVU Center, Georgia Institute of Technology 85 5th Street NW., Atlanta, GA 3033
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Document Date: 2007-05-30 00:51:47

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File Size: 385,64 KB

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City

Making Pen / Davenport / Montreux / /

Company

IEEE Software / /

Country

Switzerland / /

Currency

USD / /

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Facility

Irfan Essa College of Computing / GVU Center / Georgia Institute of Technology / /

IndustryTerm

people mash-up media assets / tag paint / automatic segmentation algorithms / video logging tools / web-based system / earliest systems / paint / real-time video logging / media databases / online activity / experimental tool / time-based media / /

Organization

Irfan Essa College of Computing / Tagging Nicholas Diakopoulos and Irfan Essa College of Computing / Georgia Institute of Technology / GVU Center / /

Person

Nicholas Diakopoulos / /

ProgrammingLanguage

Java / /

PublishedMedium

Computer Graphics / IEEE Software / /

Technology

Though automatic segmentation algorithms / Digital Video / JPEG / Java / GUI / /

SocialTag