Food logging from images
AssigneeMicrosoft Technology Licensing, LLC
InventorsNeel Suresh Joshi, Siddharth Khullar, T Scott Saponas, Daniel Morris, Oscar Beijbom
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AssigneeMicrosoft Technology Licensing, LLC
InventorsNeel Suresh Joshi, Siddharth Khullar, T Scott Saponas, Daniel Morris, Oscar Beijbom
Estimating the term…
A “Food Logger” provides various approaches for learning or training one or more image-based models (referred to herein as “meal models”) of nutritional content of meals. This training is based on one or more datasets of images of meals in combination with “meal features” that describe various parameters of the meal. Examples of meal features include, but are not limited to, food type, meal contents, portion size, nutritional content (e.g., calories, vitamins, minerals, carbohydrates, protein, salt, etc.), food source (e.g., specific restaurants or restaurant chains, grocery stores, particular pre-packaged foods, school meals, meals prepared at home, etc.). Given the trained models, the Food Logger automatically provides estimates of nutritional information based on automated recognition of new images of meals provided by (or for) the user. This nutritional information is then used to enable a wide range of user-centric interactions relating to food consumed by individual users.
A computer-implemented process for evaluating images of meals, comprising:
A system for recognizing meals, comprising:
A computer storage device having computer executable instructions stored therein for recognizing meals from images of those meals, said instructions causing a computing device to execute a method comprising:
Dependencies are inferred from the claim text.