A Survey on Food Computing
2 min readJan 16, 2019
Task
They try to summary a few things.
- What is food computing in general?
- How to acquire food data?
- What are the current methods in each of the sub domain in food computing?
- What are the challenges we still have now in food computing?
- What are the future directions?
Method
Food computing in general
- food computing mainly consists of five basic tasks, from perception, recognition, retrieval, recommendation to prediction and monitoring.

How to acquire food data?


Current methods in each of the sub domain




Challenges
- Food Image Recognition
- Vision based Dietary Management System
- Multiple-Network oriented food data fusion and mining
- Food Computing for Food Science
Future directions
- Large-scale Standard Food Dataset Construction
- Large-scale Robust Food Recognition System
- Joint Deep and Broad Learning for Food Computing
- Food-oriented Multimodal Knowledge Graph Construction and Inference
- Food Computing for Personal Health
- Food Computing for Human Behavior Understanding
- Food Log-oriented Food Computing
- Other Promising Applications in the Vertical Industry
Experiment
No experiment.
Limitation
No limitation.