Content based video retrieval for obscene adult content detection

Hasini Yatawatte, Anuja Dharmaratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


With the advancement in networking, content produced and distributed over the Internet is exponentially increasing. This imposes the threat of distribution of obscene content freely and largely, urging mechanisms to control access by minor aged users. Manual retrieval and indexing of material is impossible for large video repositories. This paper proposes a method to detect videos with obscene adult content using content based video retrieval techniques. We propose an algorithm to summarize the video by extracting keyframes that mark video shot boundaries and apply BoVW algorithm to classify keyframes indicating the presence of obscenity. Despite the ignorance of high-level features in temporal domain, a higher recognition rate of 85% with spatial information alone is proved. Further, we show the irrelevance of color information to detect nudity in videos when using BoVW.

Original languageEnglish
Title of host publicationNeural Information Processing - 22nd International Conference, ICONIP 2015, Proceedings
EditorsSabri Arik, Tingwen Huang, Weng Kin Lai, Qingshan Liu
Number of pages9
ISBN (Print)9783319265605
Publication statusPublished - 2015
EventInternational Conference on Neural Information Processing 2015 - Istanbul, Türkiye
Duration: 9 Nov 201512 Nov 2015
Conference number: 22nd

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Neural Information Processing 2015
Abbreviated titleICONIP 2015
Internet address

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