MyLifeBits: fulfilling the Memex vision
Proceedings of the tenth ACM international conference on Multimedia
FoodLog: capture, analysis and retrieval of personal food images via web
CEA '09 Proceedings of the ACM multimedia 2009 workshop on Multimedia for cooking and eating activities
Smart cooking support system based on interaction reproducing model
CEA '09 Proceedings of the ACM multimedia 2009 workshop on Multimedia for cooking and eating activities
Image-based dietary information mining for community creation in a social network
Proceedings of second ACM SIGMM workshop on Social media
A system for supporting dietary habits: planning menus and visualizing nutritional intake balance
Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
Food region segmentation in meal images using touch points
Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities
Automatic Chinese food identification and quantity estimation
SIGGRAPH Asia 2012 Technical Briefs
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In this paper, a food-logging system that can distinguish food images from other images, analyze the food balance, and visualize the log is presented. The image processing is based on feature vectors consisting of color histograms, DCT coefficients, detected image patterns and so forth. Support Vector Machine (SVM) was used to detect food images and to analyze the food balance. Experimental results show that the food image extraction presents above 88% of accuracy and the food balance estimation is achieved with more than 73% of accuracy.