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Sentiment concept embedding for visual affect recognition

Autor
Campos, V.; Giro, X.; Jou, B.; Torres, J.; Chang, S.
Tipus d'activitat
Capítol de llibre
Llibre
Multimodal behavior analysis in the wild
Pàgina inicial
349
Pàgina final
367
Editorial
Elsevier
Data de publicació
2018-11-30
ISBN
978-0-12-814601-9 Obrir en finestra nova
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 Obrir en finestra nova
Resum
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...
Paraules clau
affective computing, computer vision, deep learning, sentiment analysis
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants