CSTA K-12 Repository: Item 2378/372

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CSTA K-12 Repository >
CSTA Source: K-12 Repository >
Level 2: Computer Science in the Modern World >
L2 A: Topics >
L2 A 07: Models of Intelligent Behavior >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2378/372

Title:	Visual Search and Recognition
Authors:	Grauman, Kristen
Keywords:	visual search computer vision recognition keyward-based image search multiple-instance learning sub-linear time search pattern matching
Issue Date:	Jul-2008
Publisher:	U Texas-Austin
Abstract:	This presentation explores computer vision and how it's used in visual search development as well as image and text recognition. Applications are suggested. Challenges of visual recognition are also indicated. An overview of current work and research is presented.
URI:	http://hdl.handle.net/2378/372
Appears in Collections:	L2 A 07: Models of Intelligent Behavior L3 C 03: Societal issues in software engineering, limits of computing, levels of languages, computing careers L3 A 07: Limits of computing L3 A 03: Discrete Mathematics L2 A 08: Examples of utility & problem solving

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File	Description	Size	Format
grauman_firstbytes_2008.pdf		17430Kb	Adobe PDF	View/Open

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