Multimodal Behavior Analysis in the Wild: Advances and Challenges (Computer Vision and Pattern Recognition),Used
Multimodal Behavior Analysis in the Wild: Advances and Challenges (Computer Vision and Pattern Recognition),Used

Multimodal Behavior Analysis in the Wild: Advances and Challenges (Computer Vision and Pattern Recognition),Used

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Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the stateof theart 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 interlevel and intralevel links.This is a valuable resource on the stateofthe art and future research challenges of multimodal 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. Gives a comprehensive collection of information on the stateoftheart, limitations, and challenges associated with extracting behavioral cues from realworld scenarios Presents numerous applications on how different behavioral cues have been successfully extracted from different data sources Provides a wide variety of methodologies used to extract behavioral cues from multimodal data

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