Lookapp: interactive construction of web-based concept detectors

Authors:
Damian Borth;Adrian Ulges;Thomas M. Breuel
Affiliations:
University of Kaiserslautern Kaiserslautern, Germany;German Research Center for Artificial Intelligence, Kaiserslautern, Germany;University of Kaiserslautern Kaiserslautern, Germany
Venue:
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Year:
2011

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Abstract

While online platforms like YouTube and Flickr do provide massive content for training of visual concept detectors, it remains a difficult challenge to retrieve the right training content from such platforms. In this technical demonstration we present lookapp, a system for the interactive construction of web-based concept detectors. It major features are an interactive "concept-to-query" mapping for training data acquisition and an efficient detector construction based on third party cloud computing services.