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Friendly Faces: Weakly supervised character identification

Marter, M, Hadfield, S and Bowden, R (2015) Friendly Faces: Weakly supervised character identification In: International Workshop on Face and Facial Expression Recognition from Real World Videos (FFER), 2014-08-24, Stockholm, SWEDEN.

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Abstract

This paper demonstrates a novel method for automatically discovering and recognising characters in video without any labelled examples or user intervention. Instead weak supervision is obtained via a rough script-to-subtitle alignment. The technique uses pose invariant features, extracted from detected faces and clustered to form groups of co-occurring characters. Results show that with 9 characters, 29% of the closest exemplars are correctly identified, increasing to 50% as additional exemplars are considered.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Marter, MUNSPECIFIEDUNSPECIFIED
Hadfield, SUNSPECIFIEDUNSPECIFIED
Bowden, RUNSPECIFIEDUNSPECIFIED
Date : 1 January 2015
Identification Number : 10.1007/978-3-319-13737-7_11
Related URLs :
Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-13737-7_11
Depositing User : Symplectic Elements
Date Deposited : 27 Oct 2015 16:41
Last Modified : 27 Oct 2015 16:41
URI: http://epubs.surrey.ac.uk/id/eprint/808947

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