publication . Article . Other literature type . 2018

A deep generic to specific recognition model for group membership analysis using non-verbal cues

Mou, W; Tzelepis, C; Mezaris, V; Gunes, Hatice; Patras, I;
  • Published: 12 Dec 2018 Journal: Image and Vision Computing, volume 81, pages 42-50 (issn: 02628856, Copyright policy)
  • Country: United Kingdom
Abstract Automatic understanding and analysis of groups has attracted increasing attention in the vision and multimedia communities in recent years. However, little attention has been paid to the automatic analysis of the non-verbal behaviors and how this can be utilized for analysis of group membership, i.e., recognizing which group each individual is part of. This paper presents a novel Support Vector Machine (SVM) based Deep Specific Recognition Model (DeepSRM) that is learned based on a generic recognition model. The generic recognition model refers to the model trained with data across different conditions, i.e., when people are watching movies of different...
free text keywords: Non-verbal behavior analysis, Group membership, Automatic group analysis, Deep learning, Group analysis, Natural language processing, computer.software_genre, computer, Nonverbal communication, Artificial intelligence, business.industry, business, Pattern recognition, Support vector machine, Mathematics
Funded by
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
Digital Humanities and Cultural Heritage
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Other literature type . 2018
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