TY - GEN digital ID - 131766253 TI - Multimodal behavior analysis in the wild : advances and challenges AU - Alam-Pin, Xavier AU - Ricci, Elisa AU - Sebe, Nicu PY - 2019 SN - 9780128146026 0128146028 PB - London, UK ;San Diego, CA Academic Press, an imprint of Elsevier DB - UniCat KW - Sociology of culture UR - https://www.unicat.be/uniCat?func=search&query=sysid:131766253 AB - 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. ER -