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.
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Gao, L., Li, G., Zheng, YT., Hong, R., Chua, TS. (2010). Video Reference: A Video Question Answering Engine. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_92
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DOI: https://doi.org/10.1007/978-3-642-11301-7_92
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