Learning from summaries of videos: Applying batch mode active learning to face-based biometrics

Shayok Chakraborty Vineeth N Balasubramanian Sethuraman Panchanathan
Abstract: Against the backdrop of growing concerns about security and privacy, biometrics has emerged as a methodology to reliably infer the identity of an individual. In biometric applications like face recognition, real world data is usually generated in batches such as frames of video in a capture session. The captured data has high redundancy and it is a significant challenge to select the most promising instances from this superfluous set for training a classifier. Active learning methods select only the salient instances for ...