Video Content Analysis Using Self-organizing Maps
Exhibit Code: GOL-102
Zone: Computer Zone
Location: Golisano Hall (GOL/070) - Atrium
Time: All Day
Video classification and retrieval is currently performed manually by individuals adding semantic annotation or creating a description of the videos. Current algorithmic methods often suffer from a semantic gap between visual content and human interpretation. Visitors will learn about a biologically inspired system that automatically clusters videos based on visual attributes.
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