Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66129
Title: VisQuery : visual querying of streaming data via pattern matching
Authors: Li, CH 
Baciu, G 
Wang, YZ 
Keywords: SQL
Data handling
Pattern matching
Query processing
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: 2016 Digital Media Industry and Academic Forum, DMIAF 2016 - Proceedings, 2016, 7574924, p. 161-165 How to cite?
Abstract: Querying streaming data is becoming a dominant problem in big data analytics. A practical approach to querying streaming data is through traditional databases that have been modified to support streams, such as MySQL. However, conditional selection for querying data streams is currently an open challenge. We present a new visual framework that provides a more intuitive querying interaction for streaming data by combining visual selections on patterns with image processing techniques in order to better identify regions of interest. The main contribution of this paper is a novel method for matching patterns among normalized frames via feature vector clustering.
Description: 2016 Digital Media Industry and Academic Forum, DMIAF 2016, Santorini, Greece, 4-6 July 2016
URI: http://hdl.handle.net/10397/66129
ISBN: 978-1-5090-1000-4 (electronic)
978-1-5090-1001-1 (print on demand(PoD))
DOI: 10.1109/DMIAF.2016.7574924
Appears in Collections:Conference Paper

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