The nature of statistical learning theory
The nature of statistical learning theory
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Fast food recognition from videos of eating for calorie estimation
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
The 2005 PASCAL visual object classes challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Drinking activity analysis from fast food eating video using generative models
CEA '09 Proceedings of the ACM multimedia 2009 workshop on Multimedia for cooking and eating activities
A mobile, lightweight, poll-based food identification system
Pattern Recognition
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We introduce the first visual dataset of fast foods with a total of 4,545 still images, 606 stereo pairs, 303 360° videos for structure from motion, and 27 privacy-preserving videos of eating events of volunteers. This work was motivated by research on fast food recognition for dietary assessment. The data was collected by obtaining three instances of 101 foods from 11 popular fast food chains, and capturing images and videos in both restaurant conditions and a controlled lab setting. We benchmark the dataset using two standard approaches, color histogram and bag of SIFT features in conjunction with a discriminative classifier. Our dataset and the benchmarks are designed to stimulate research in this area and will be released freely to the research community.