Content based video retrieval for obscene adult content detection

Hasini Yatawatte, Anuja Dharmaratne

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    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, Turkey
    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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