Marketing image categorization using hybrid human-machine combinations

Nathan Gnanasambandam; Himanshu Madhu

doi:10.1117/12.912755

21 February 2012 Marketing image categorization using hybrid human-machine combinations

Nathan Gnanasambandam, Himanshu Madhu

Proceedings Volume 8302, Imaging and Printing in a Web 2.0 World III; 83020Q (2012) https://doi.org/10.1117/12.912755
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

Nathan Gnanasambandam and Himanshu Madhu "Marketing image categorization using hybrid human-machine combinations", Proc. SPIE 8302, Imaging and Printing in a Web 2.0 World III, 83020Q (21 February 2012); https://doi.org/10.1117/12.912755

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