CVMMJan 22, 2018

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

arXiv:1801.07239v131 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of enhancing food-related applications for better dietary habits and information access, but it is a review paper, so it is incremental in summarizing existing work.

The paper reviews how to integrate visual content, context, and external knowledge into food-oriented applications, focusing on recipe analysis, food recommendation, and restaurant contexts to improve dietary monitoring and information retrieval.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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