@inproceedings{6d65debe5b6d45d49d1324c8245c7499,
title = "Adaptive multimedia mining on distributed stream processing systems",
abstract = "We present an application for distributed semantic concept detection in multimedia streams. The streams are mined using Support Vector Machine based concept detectors (classifiers) deployed on a distributed stream processing system. We organize the classifiers into a hierarchical topology based on semantic relationships between the concepts of interest, and use the system resource manager to place the topology across a set of processing nodes. We then develop distributed game theoretic optimization strategies for dynamic adaptation of individual classifier operating characteristics in order to maximize end-to-end application utility under varying resource availability. As part of this paper, we will demonstrate the principles behind large-scale multimedia stream mining, and showcase the design, development, deployment, and distributed adaptation of such applications on a large scale cluster. A video demonstration of the system can be found at: http://childman.bol.ucla.edu/ICDM/ demovideoicdm2009.swf",
keywords = "Large-scale mining, Multimedia mining, Resource adaptive mining, Semantic concept detection, Stream processing",
author = "Turaga, {Deepak S.} and Hyunggon Park and Rong Yan and Olivier Verscheure",
year = "2010",
doi = "10.1109/ICDMW.2010.159",
language = "English",
isbn = "9780769542577",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
pages = "1419--1422",
booktitle = "Proceedings - 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010",
note = "null ; Conference date: 14-12-2010 Through 17-12-2010",
}