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Video Analytics. Face and Facial Expression Recognition and Audience Measurement

Third International Workshop, VAAM 2016, and Second International Workshop, FFER 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10165)

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Table of contents (14 papers)

Other volumes

  1. Video Analytics. Face and Facial Expression Recognition and Audience Measurement

Keywords

About this book

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. 

Editors and Affiliations

  • Aalborg University, Aalborg, Denmark

    Kamal Nasrollahi, Thomas B. Moeslund

  • Institute of Applied Sciences and Intelligent Systems, Lecce, Italy

    Cosimo Distante

  • Stevens Institute of Technology, Hoboken, USA

    Gang Hua

  • Queen Mary University of London, London, United Kingdom

    Andrea Cavallaro

  • Università di Catania, Catania, Italy

    Sebastiano Battiato

  • Rensselaer Polytechnic Institute, Troy, USA

    Qiang Ji

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