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Video Analytics. Face and Facial Expression Recognition and Audience Measurement

Video Analytics. Face and Facial Expression Recognition and Audience Measurement

By Kamal Nasrollahi, Cosimo Distante, Gang Hua, Andrea Cavallaro, Thomas B. Moeslund, Sebastiano Battiato & Qiang Ji Computers & Internet 28/03/2017

This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016. 
The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition. 

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Video Analytics. Face and Facial Expression Recognition and Audience Measurement
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