@inproceedings{73fa62b4524048b6a12ab937244cb248,
title = "VisQuery: Visual querying of streaming data via pattern matching",
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.",
author = "Chenhui Li and George Baciu and Yunzhe Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Digital Media Industry and Academic Forum, DMIAF 2016 ; Conference date: 04-07-2016 Through 06-07-2016",
year = "2016",
month = sep,
day = "22",
doi = "10.1109/DMIAF.2016.7574924",
language = "英语",
series = "2016 Digital Media Industry and Academic Forum, DMIAF 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "161--165",
booktitle = "2016 Digital Media Industry and Academic Forum, DMIAF 2016 - Proceedings",
address = "美国",
}