A Survey on Food Computing

Fangda Han
2 min readJan 16, 2019

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Task

They try to summary a few things.

  1. What is food computing in general?
  2. How to acquire food data?
  3. What are the current methods in each of the sub domain in food computing?
  4. What are the challenges we still have now in food computing?
  5. 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.

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