Web-scale computer vision using MapReduce for multimedia data mining

TitleWeb-scale computer vision using MapReduce for multimedia data mining
Publication TypeConference Papers
Year of Publication2010
AuthorsWhite B, Tom Yeh, Jimmy Lin, Davis LS
Conference NameProceedings of the Tenth International Workshop on Multimedia Data Mining
Date Published2010///
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-0220-3
Keywordsbackground subtraction, bag-of-features, Cloud computing, clustering, Computer vision, image registration, MapReduce
Abstract

This work explores computer vision applications of the MapReduce framework that are relevant to the data mining community. An overview of MapReduce and common design patterns are provided for those with limited MapReduce background. We discuss both the high level theory and the low level implementation for several computer vision algorithms: classifier training, sliding windows, clustering, bag-of-features, background subtraction, and image registration. Experimental results for the k-means clustering and single Gaussian background subtraction algorithms are performed on a 410 node Hadoop cluster.

URLhttp://doi.acm.org/10.1145/1814245.1814254
DOI10.1145/1814245.1814254