Development of Kid-Friendly YouTube Access Model Using Deep Learning-Reference-Cited by-同舟云学术

Development of Kid-Friendly YouTube Access Model Using Deep Learning

Published:2020-08-01 Issue: Volume: Page:243-250
ISSN:2367-3370
Container-title:Data Science and Security
language:
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Author:

Reddy Sanjana,Srikanth Nikitha,Sharvani G. S.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5309-7_26

Reference12 articles.

1. Singh R, Kaushal R, Buduru AB, Kumaraguru P (2019) Fine grained approach for children unsafe video representation and detection

2. Papadamou K, Papasavva A, Zannettou S, Blackburny J, Kourtellisz N, Leon-tiadisz I, Stringhini G, Sirivianos M (2019) Disturbed YouTube for kids: characterizing and detecting inappropriate videos targeting young children. arXiv:1901.07046v2

3. Buzzi M (2011) Children and YouTube: access to safe content: CH Italy

4. Kaushal R, Saha S, Bajaj P, Kumaraguru P (2016) KidsTube detection, characterization and analysis of child unsafe content and promoters on YouTube. arXiv:1608.05966v1

5. Siersdorfer S, Chelaru S, Nejdl W (2010) How useful are your comments? Analyzing and predicting YouTube comments and comment ratings. In: International world wide web conference committee (IW3C2), ACM. 978-1-60558-799

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