Multimodal Behavior Analysis in the Wild : Advances and Challenges
Language: English
Published by Elsevier Science & Technology, Academic Press Nov 2018, 2018
Series: Book 6 of 10 - Computer Vision and Pattern Recognition
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Seller Inventory # 9780128146019
- Title
- Multimodal Behavior Analysis in the Wild : Advances and Challenges
- Author
- Xavier Alameda-Pineda
- Publisher
- Elsevier Science & Technology, Academic Press Nov 2018
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 012814601X
- ISBN 13
- 9780128146019
- Item weight
- 1,030 grams
- Dimensions
- 234x190x35 mm
- Series
- Book 6 of 10: Computer Vision and Pattern Recognition
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.
"Synopsis" may belong to another edition of this title.
About the Author
Elisa Ricci is a researcher at FBK and an assistant professor at University of Perugia. She received her PhD from the University of Perugia in 2008. She has since been a postdoctoral researcher at Idiap and FBK, Trento and a visiting researcher at University of Bristol. Her research interests are directed along developing machine learning algorithms for video scene analysis, human behaviour understanding and multimedia content analysis. She is area chair of ACM MM 2016 and of ECCV 2016. She received the IBM Best Student Paper Award at ICPR 2014.
Nicu Sebe is a full professor at the University of Trento, Italy, where he is leading the research in the areas of multimedia information retrieval and human behavior understanding. He was a general co-chair of FG 2008 and ACM MM 2013, and a program chair of CIVR 2007 and 2010, of ACM MM 2007 and 2011, and of ECCV 2016. He is a program chair of ICCV 2017 and of ICPR 2020, and a general chair of ICMR 2017. He is a senior member of IEEE and ACM and a fellow of IAPR.
"About the title" may belong to another edition of this title.
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