You are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis
文献类型：期刊论文
| 作者 | Weiqing Min; Bing-Kun Bao ; Shuhuan Mei; Yaohui Zhu; Yong Rui; Shuqiang Jiang
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| 刊名 | IEEE Transactions on Multimedia
 |
| 出版日期 | 2017-10 |
| 期号 | 99页码:1-1 |
| 关键词 | Non |
| 英文摘要 | Cuisine is a style of cooking and usually associated with a specific geographic region. Recipes from different cuisines shared on the web are an indicator of culinary cultures in different countries. Therefore, analysis of these recipes can lead to deep understanding of food from the cultural perspective. In this paper, we perform the first cross-region recipe analysis by jointly using the recipe ingredients, food images and attributes such as the cuisine and course (e.g., main dish and dessert). For that solution, we propose a culinary culture analysis framework to discover the topics of ingredient bases and visualize them to enable various applications. We firstly propose a probabilistic topic model to discover cuisine-course specific topics. The manifold ranking method is then utilized to incorporate deep visual features to retrieve food images for topic visualization. At last, we applied the topic modeling and visualization method for three applications: (1) multi-modal cuisine summarization with both recipe ingredients and images, (2) cuisine-course pattern analysis including topic-specific cuisine distribution and cuisine-specific course distribution of topics, and (3) cuisine recommendation for both cuisine-oriented and ingredient-oriented queries. Through these three applications, we can analyze the culinary cultures at both macro and micro levels. We conduct the experiment on a recipe database Yummly-66K with 66,615 recipes from 10 cuisines in Yummly. Qualitative and quantitative evaluation results have validated the effectiveness of topic modeling and visualization, and demonstrated the advantage of the framework in utilizing rich recipe information to analyze and interpret the culinary cultures from different regions. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19859]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 推荐引用方式 GB/T 7714 | Weiqing Min,Bing-Kun Bao,Shuhuan Mei,et al. You are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis[J]. IEEE Transactions on Multimedia,2017(99):1-1. |
| APA | Weiqing Min,Bing-Kun Bao,Shuhuan Mei,Yaohui Zhu,Yong Rui,&Shuqiang Jiang.(2017).You are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis.IEEE Transactions on Multimedia(99),1-1. |
| MLA | Weiqing Min,et al."You are What You Eat: Exploring Rich Recipe Information for Cross-Region Food Analysis".IEEE Transactions on Multimedia .99(2017):1-1. |
入库方式： OAI收割
来源：自动化研究所
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