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Proceedings Paper

Marketing image categorization using hybrid human-machine combinations
Author(s): Nathan Gnanasambandam; Himanshu Madhu
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Paper Abstract

Marketing instruments with nested, short-form, symbol loaded content need to be studied differently. Image classification in the Web2.0 world can dynamically use a configurable amount of internal and external data as well as varying levels of crowd-sourcing. Our work is one such examination of how to construct a hybrid technique involving learning and crowd-sourcing. Through a parameter called turkmix and a multitude of crowd-sourcing techniques available we show that we can control the trend of metrics such as precision and recall on the hybrid categorizer.

Paper Details

Date Published: 21 February 2012
PDF: 6 pages
Proc. SPIE 8302, Imaging and Printing in a Web 2.0 World III, 83020Q (21 February 2012); doi: 10.1117/12.912755
Show Author Affiliations
Nathan Gnanasambandam, Xerox Corp. (United States)
Himanshu Madhu, Xerox Corp. (United States)


Published in SPIE Proceedings Vol. 8302:
Imaging and Printing in a Web 2.0 World III
Qian Lin; Jan P. Allebach; Zhigang Fan, Editor(s)

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