Video Analytics. Face and Facial Expression Recognition and Audience Measurement [[electronic resource] ] : Third International Workshop, VAAM 2016, and Second International Workshop, FFER 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers / / edited by Kamal Nasrollahi, Cosimo Distante, Gang Hua, Andrea Cavallaro, Thomas B. Moeslund, Sebastiano Battiato, Qiang Ji |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (X, 163 p. 86 illus.) |
Disciplina | 006.42 |
Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
Soggetto topico |
Optical data processing
Computers Artificial intelligence Computer security Special purpose computers Computer Imaging, Vision, Pattern Recognition and Graphics Information Systems and Communication Service Artificial Intelligence Systems and Data Security Special Purpose and Application-Based Systems |
ISBN | 3-319-56687-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNISA-996466188803316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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