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Crowdsourced time-sync video tagging using semantic association graph
2017
2017 IEEE International Conference on Multimedia and Expo (ICME)
Time-sync comments reveal a new way of extracting the online video tags. However, such time-sync comments have lots of noises due to users' diverse comments, introducing great challenges for accurate and fast video tag extractions. In this paper, we propose an unsupervised video tag extraction algorithm named Semantic Weight-Inverse Document Frequency (SW-IDF). SW-IDF first generates corresponding semantic association graph (SAG) using semantic similarities and timestamps of the time-sync
doi:10.1109/icme.2017.8019364
dblp:conf/icmcs/YangRGWRJ17
fatcat:gvsw7ubivrcopkkgjsimljgfxm