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|Title:||Video reference: A video question answering engine|
|Keywords:||Video question answering|
|Citation:||Gao, L.,Li, G.,Zheng, Y.-T.,Hong, R.,Chua, T.-S. (2009). Video reference: A video question answering engine. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5916 LNCS : 799-801. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-11301-7_92|
|Abstract:||Community-based question answering systems have become very popular for providing answers to a wide variety of "how-to" questions. However, most such systems present only textual answers. In many cases, users would prefer visual answers such as videos which are more intuitive and informative. The Video Reference system is proposed as a solution to the above problem. It automatically extracts videos from YouTube as a video reference responding to a textual question. The demo shows results on real questions sampled from Yahoo! Answering. © 2010 Springer-Verlag Berlin Heidelberg.|
|Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Appears in Collections:||Staff Publications|
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