Food Computing for Multimedia

Abstract

Food computing applies computational approaches for acquiring and analyzing heterogeneous food data from disparate sources for perception, recognition, retrieval, recommendation, prediction and monitoring of food to address food-related issues in multimedia and beyond. It has received more attention from both academia and industry as one emerging interdiscipline for its various applications, such as improving human health and understanding the culinary culture. Recently, there are more studies on food computing in the multimedia, such as food recognition and multimodal recipe analysis. This tutorial will provide a basic understanding of food computing, and discuss its use in various multimedia tasks, ranging from food recognition, retrieval, recommendation, recipe analysis to cooking behavior understanding. Specifically, we will first introduce food computing, including its method, task and applications. Then we will discuss several typical tasks of food computing in the multimedia including food image recognition, food retrieval and recommendation, multimodal recipe analysis and cooking action anticipation. Finally, we will point out future research directions on food computing in the multimedia.