Video analytics = face and facial ex...
VAAM (Workshop) (2016 :)

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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 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Video analytics/ edited by Kamal Nasrollahi ... [et al.].
    Reminder of title: 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 /
    remainder title: VAAM 2016
    other author: Nasrollahi, Kamal.
    corporate name: VAAM (Workshop)
    Published: Cham :Springer International Publishing : : 2017.,
    Description: x, 163 p. :ill., digital ;24 cm.
    [NT 15003449]: Person Re-Identification Dataset with RGB-D Camera in a Top-View Configuration -- Pervasive System for Consumer Behaviour Analysis in Retail Environments -- Estimation of task difficulty and habituation effect while visual manipulation using pupillary response -- Robust Probabilistic Logo Detection in Broadcast Videos for Audience Measurement -- Saliency Prediction for Visual Regions of Interest with Applications in Advertising -- Person Invariant Classification of Subtle Facial Expressions using Coded Movement Direction of Keypoints -- A Two-directional Two-Dimensional PCA Correlation Filter in the Phase Only Spectrum for Face Recognition in Video -- End to End Deep Learning for Single Step Real-time Facial Expression Recognition -- Comparative Study of Human Age Estimation Based on Hand-crafted and Deep Face Features -- Pose-Selective Max Pooling for Measuring Similarity -- Complementing SRCNN by Transformed Self-Exemplars. -Human Head Pose Estimation on SASE database using Random Hough Regression Forests -- Spatio-Temporal Pain Recognition in CNN-based Super-Resolved Facial Images.
    Contained By: Springer eBooks
    Subject: Optical pattern recognition - Congresses. -
    Online resource: http://dx.doi.org/10.1007/978-3-319-56687-0
    ISBN: 9783319566870
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