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Multimodal behavior analysis in the wild : advances and challenges /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Alam-Pin, Xavier (Editor ), Ricci, Elisa (Editor ), Sebe, Nicu (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK ; San Diego, CA : Academic Press, an imprint of Elsevier, [2019]
Colección:Computer vision and pattern recognition series.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Multimodal behavior analysis in the wild :  |b advances and challenges /  |c edited by Xavier Alameda-Pineda, Elisa Ricci, Nicu Sebe. 
264 1 |a London, UK ;  |a San Diego, CA :  |b Academic Press, an imprint of Elsevier,  |c [2019] 
264 4 |c �2019 
300 |a 1 online resource 
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337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Computer vision and pattern recognition series 
520 |a 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 separation), through middle level (conversational group detection, addresser and addressee identification), and high level (personality and emotion recognition), providing insights on how to exploit inter-level and intra-level links. This is a valuable resource on the state-of-the-art and future research challenges of multi-modal behavioral analysis in the wild. It is suitable for researchers and graduate students in the fields of computer vision, audio processing, pattern recognition, machine learning and social signal processing. 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed November 19, 2018). 
650 0 |a Pattern recognition systems. 
650 0 |a Signal processing. 
650 0 |a Human behavior. 
650 2 |a Pattern Recognition, Automated  |0 (DNLM)D010363 
650 2 |a Behavior  |0 (DNLM)D001519 
650 6 |a Reconnaissance des formes (Informatique)  |0 (CaQQLa)201-0028094 
650 6 |a Traitement du signal.  |0 (CaQQLa)201-0032324 
650 6 |a Comportement humain.  |0 (CaQQLa)201-0016766 
650 7 |a human behavior.  |2 aat  |0 (CStmoGRI)aat300055168 
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650 7 |a Pattern recognition systems  |2 fast  |0 (OCoLC)fst01055266 
650 7 |a Signal processing  |2 fast  |0 (OCoLC)fst01118281 
700 1 |a Alam-Pin, Xavier,  |e editor. 
700 1 |a Ricci, Elisa,  |e editor. 
700 1 |a Sebe, Nicu,  |e editor. 
776 0 8 |i Print version:  |t Multimodal behavior analysis in the wild.  |d London, UK ; San Diego, CA : Academic Press, an imprint of Elsevier, [2019]  |z 012814601X  |z 9780128146019  |w (OCoLC)1028950994 
830 0 |a Computer vision and pattern recognition series. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128146019  |z Texto completo