Collecting large, richly annotated facial-expression databases from movies

Abhinav Dhall; Roland Goecke; Simon Lucey; Tom Gedeon

doi:10.1109/MMUL.2012.26

Collecting large, richly annotated facial-expression databases from movies

Abhinav Dhall, Roland Goecke, Simon Lucey, Tom Gedeon

Research output: Contribution to journal › Article › peer-review

528 Citations (Scopus)

77 Downloads (Pure)

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 language	English
Article number	6200254
Pages (from-to)	34-41
Number of pages	8
Journal	IEEE Multimedia
Volume	19
Issue number	3
DOIs	https://doi.org/10.1109/MMUL.2012.26
Publication status	Published - 2012
Externally published	Yes

Keywords

emotion database
facial expression recognition
large-scale database
large-scale multimedia data
multimedia
real-world conditions

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10.1109/MMUL.2012.26

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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.",

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AU - Goecke, Roland

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KW - multimedia

KW - real-world conditions

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Collecting large, richly annotated facial-expression databases from movies

Abstract

Keywords

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