Collecting Large, Richly Annotated Facial-Expression Databases from Movies

Abhinav Dhall, Roland Goecke, Simon Lucey, Tamas Gedeon

    Research output: Contribution to journalArticle

    177 Citations (Scopus)
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    Abstract

    Two large facial-expression databases depicting challenging real-world conditions were constructed using a semi-automatic approach via a recommender system based on subtitles.
    Original languageEnglish
    Pages (from-to)34-41
    Number of pages8
    JournalIEEE Multimedia
    Volume19
    Issue number3
    DOIs
    Publication statusPublished - 2012

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    Dhall, Abhinav ; Goecke, Roland ; Lucey, Simon ; Gedeon, Tamas. / Collecting Large, Richly Annotated Facial-Expression Databases from Movies. In: IEEE Multimedia. 2012 ; Vol. 19, No. 3. pp. 34-41.
    @article{1013bbb172214ce5ad895e9a31e0865b,
    title = "Collecting Large, Richly Annotated Facial-Expression Databases from Movies",
    abstract = "Two large facial-expression databases depicting challenging real-world conditions were constructed using a semi-automatic approach via a recommender system based on subtitles.",
    keywords = "Facial expression recognition, Database annotations, Multimedia",
    author = "Abhinav Dhall and Roland Goecke and Simon Lucey and Tamas Gedeon",
    year = "2012",
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    language = "English",
    volume = "19",
    pages = "34--41",
    journal = "IEEE Multimedia",
    issn = "1070-986X",
    publisher = "IEEE, Institute of Electrical and Electronics Engineers",
    number = "3",

    }

    Collecting Large, Richly Annotated Facial-Expression Databases from Movies. / Dhall, Abhinav; Goecke, Roland; Lucey, Simon; Gedeon, Tamas.

    In: IEEE Multimedia, Vol. 19, No. 3, 2012, p. 34-41.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Collecting Large, Richly Annotated Facial-Expression Databases from Movies

    AU - Dhall, Abhinav

    AU - Goecke, Roland

    AU - Lucey, Simon

    AU - Gedeon, Tamas

    PY - 2012

    Y1 - 2012

    N2 - Two large facial-expression databases depicting challenging real-world conditions were constructed using a semi-automatic approach via a recommender system based on subtitles.

    AB - Two large facial-expression databases depicting challenging real-world conditions were constructed using a semi-automatic approach via a recommender system based on subtitles.

    KW - Facial expression recognition

    KW - Database annotations

    KW - Multimedia

    U2 - 10.1109/MMUL.2012.26

    DO - 10.1109/MMUL.2012.26

    M3 - Article

    VL - 19

    SP - 34

    EP - 41

    JO - IEEE Multimedia

    JF - IEEE Multimedia

    SN - 1070-986X

    IS - 3

    ER -