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Volume 65, Pages 1-86, September 2017

Image and Vision Computing
Volume 65, Pages 1-86, September 2017

Multimodal Sentiment Analysis and Mining in the Wild Image and Vision Computing
Edited by Mohammad Soleymani, Björn Schuller and Shih-Fu Chang

 

 

Edirorial Board   
Page IFC

 

 

Guest editorial: Multimodal sentiment analysis and mining in the wild   
Pages 1-2
Mohammad Soleymani, Björn Schuller, Shih-Fu Chang

 

 

A survey of multimodal sentiment analysis    Original Research Article
Pages 3-14
Mohammad Soleymani, David Garcia, Brendan Jou, Björn Schuller, Shih-Fu Chang, Maja Pantic

Graphical abstract


1-s2.0-S0262885617301191-fx1.jpg

 

 

From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction    Original Research Article
Pages 15-22
Víctor Campos, Brendan Jou, Xavier Giró-i-Nieto

Graphical abstract


1-s2.0-S0262885617300355-fx1.jpg

 

 

AFEW-VA database for valence and arousal estimation in-the-wild    Original Research Article
Pages 23-36
Jean Kossaifi, Georgios Tzimiropoulos, Sinisa Todorovic, Maja Pantic

 

 

The Conflict Escalation Resolution (CONFER) Database    Original Research Article
Pages 37-48
Christos Georgakis, Yannis Panagakis, Stefanos Zafeiriou, Maja Pantic

 

 

Behavioral cues help predict impact of advertising on future sales    Original Research Article
Pages 49-57
Gábor Szirtes, Javier Orozco, István Petrás, Dániel Szolgay, Ákos Utasi, Jeffrey F. Cohn

 

 

GOAALLL!: Using sentiment in the world cup to explore theories of emotion    Original Research Article
Pages 58-65
Gale M. Lucas, Jonathan Gratch, Nikolaos Malandrakis, Evan Szablowski, Eli Fessler, Jeffrey Nichols

 

 

Video-based emotion recognition in the wild using deep transfer learning and score fusion    Original Research Article
Pages 66-75
Heysem Kaya, Furkan Gürpınar, Albert Ali Salah

 

 

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals    Original Research Article
Pages 76-86
Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, Björn Schuller

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