Large-scale multimedia content analysis using scientific workflows
Proceedings of the 21st ACM international conference on Multimedia
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In this paper, we demonstrate the ability to re- use workflow fragments in different data domains: from text analytics to image anlysis to video activity recognition. We highlight how the re-use of workflows allows scientists to link across disciplines and avail themselves of the benefits of inter- disciplinary research beyond their normal area of expertise. In addition, we present an in-depth study of a Social Media Analysis (SMA) task, wherein we show how the re-use of workflow fragments can extend a pre-existing, rudimentary analysis; we also examine how workflow fragments save time and effort in SMA while bringing together multiple areas of machine learning and computer vision.