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Identifying Unsafe Videos on Online Public Media using Real-time Crowdsourcing
August 31, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Sankar Kumar Mridha, Braznev Sarkar, Sujoy Chatterjee, Malay Bhattacharyya
arXiv ID
1708.09654
Category
cs.HC: Human-Computer Interaction
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Due to the significant growth of social networking and human activities through the web in recent years, attention to analyzing big data using real-time crowdsourcing has increased. This data may appear in the form of streaming images, audio or videos. In this paper, we address the problem of deciding the appropriateness of streaming videos in public media with the help of crowdsourcing in real-time.
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