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Sentiment concept embedding for visual affect recognition

Author
Campos, V.; Giro, X.; Jou, B.; Torres, J.; Chang, S.
Type of activity
Book chapter
Book
Multimodal behavior analysis in the wild
First page
349
Last page
367
Publisher
Elsevier
Date of publication
2018-11-30
ISBN
978-0-12-814601-9 Open in new window
URL
https://www.elsevier.com/books/multimodal-behavior-analysis-in-the-wild/alameda-pineda/978-0-12-814601-9https://www-sciencedirect-com.recursos.biblioteca.upc.edu/book/9780128146019/multimodal-behavior-analysis-in-the-wild Open in new window
Abstract
Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source...
Keywords
affective computing, computer vision, deep learning, sentiment analysis
Group of research
CAP - High Performace Computing Group
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants