# Food recognition and recipe analysis: integrating visual content, context and external knowledge

arXiv: https://arxiv.org/abs/1801.07239 · HTML: https://mlsanity.com/paper/1801.07239/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jan 2018.

## Built on by (most cited first, 3 of 3)

- [Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions](https://mlsanity.com/paper/2106.03158/) (2021)
- [Monte Carlo Tree Search for Recipe Generation using GPT-2](https://mlsanity.com/paper/2401.05199/) (2024)
- [UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style](https://mlsanity.com/paper/2402.10381/) (2024)

## Abstract (arXiv)

The central role of food in our individual and social life, combined with recent technological advances, has motivated a growing interest in applications that help to better monitor dietary habits as well as the exploration and retrieval of food-related information. We review how visual content, context and external knowledge can be integrated effectively into food-oriented applications, with special focus on recipe analysis and retrieval, food recommendation, and the restaurant context as emerging directions.