%0 Journal Article %1 HongWangEtAl12multimedia %A Hong, Richang %A Wang, Meng %A Li, Guangda %A Nie, Liqiang %A Zha, Zheng-Jun %A Chua, Tat-Seng %D 2012 %J IEEE Multimedia %K v1410 ieee paper ai multimedia language processing information retrieval answer zzz.th.c4 %N 4 %P 72-78 %R 10.1109/MMUL.2011.53 %T Multimedia Question Answering %V 19 %X By surveying recent research in multimedia question answering, this article explores QA's evolution from text to multimedia and identifies the challenges in the field.

@article{HongWangEtAl12multimedia, abstract = {By surveying recent research in multimedia question answering, this article explores QA's evolution from text to multimedia and identifies the challenges in the field.}, added-at = {2013-01-25T16:00:42.000+0100}, author = {Hong, Richang and Wang, Meng and Li, Guangda and Nie, Liqiang and Zha, Zheng-Jun and Chua, Tat-Seng}, biburl = {https://www.bibsonomy.org/bibtex/259d3546eb85eb34cd2d9c3f6ee93537c/flint63}, doi = {10.1109/MMUL.2011.53}, file = {IEEE Digital Library:2012/HongWangEtAl12multimedia.pdf:PDF}, groups = {public}, interhash = {905313748c211e1affa77553779daeec}, intrahash = {c4141539994c4f0d58e479ba9a4c93f0}, issn = {1070-986X}, journal = {IEEE Multimedia}, keywords = {v1410 ieee paper ai multimedia language processing information retrieval answer zzz.th.c4}, number = 4, pages = {72-78}, timestamp = {2015-03-05T14:13:02.000+0100}, title = {Multimedia Question Answering}, username = {flint63}, volume = 19, year = 2012 }