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Exploiting YouTube's Video ASR scripts to Extend Educational Videos Textual Representative Tags Based on Gibb's Sampling Technique
2015
International Journal of Multimedia and Ubiquitous Engineering
Given the importance of the textual information in content retrieval, it is desirable that the textual representation of educational videos contents in social media platforms like YouTube capture the semantics of what is really in content they represent. Such coherent textual representations are important in objective video content retrieval, repurposing, reuse and sense-making of the content. In this study,the Automatic Speech Recognition (ASR) in the video tracks was leveraged to supplement
doi:10.14257/ijmue.2015.10.5.33
fatcat:uxptgmhg7ngt3eamiqmmsyfzvy