You Are What You Eat: hxploring Rich Recipe Information for Cross-Region Food Analysis
Min, Weiqing1; Bao, Bing-Kun2,3; Mei, Shuhuan1,4; Zhu, Yaohui1; Rui, Yong1,5; Jiang, Shuqiang1,3
2018-04-01
发表期刊IEEE TRANSACTIONS ON MULTIMEDIA
卷号20期号:4页码:950-964
文章类型Article
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 first propose a probabilistic topic model to discover cuisine-course specific topics. The manilbld 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) multimodal 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.
关键词Cross-region Food Analysis Cuisine Recommendation Cuisine Summarization Culinary Culture Analysis Topic Model
WOS标题词Science & Technology ; Technology
DOI10.1109/TMM.2017.2759499
关键词[WOS]RECOGNITION
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61532018 ; Beijing Municipal Commission of Science and Technology(D161100001816001) ; Beijing Natural Science Foundation(4174106 ; Lenovo Outstanding Young Scientists Program ; National Program for Special Support of Eminent Professionals and National Program for Support of Top-notch Young Professionals ; China Postdoctoral Science Foundation(2016M590135 ; 61602437 ; 4152053) ; 2017T100110) ; 61672497 ; 61572503 ; 61620106003)
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号WOS:000427623000015
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21985
专题模式识别国家重点实验室_多媒体计算与图形学
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Shandong Univ Sci & Technol, Qingdao 266590, Shandong, Peoples R China
5.Lenovo Grp Ltd, Lenovo Corp Res, Beijing 100085, Peoples R China
推荐引用方式
GB/T 7714
Min, Weiqing,Bao, Bing-Kun,Mei, Shuhuan,et al. You Are What You Eat: hxploring Rich Recipe Information for Cross-Region Food Analysis[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2018,20(4):950-964.
APA Min, Weiqing,Bao, Bing-Kun,Mei, Shuhuan,Zhu, Yaohui,Rui, Yong,&Jiang, Shuqiang.(2018).You Are What You Eat: hxploring Rich Recipe Information for Cross-Region Food Analysis.IEEE TRANSACTIONS ON MULTIMEDIA,20(4),950-964.
MLA Min, Weiqing,et al."You Are What You Eat: hxploring Rich Recipe Information for Cross-Region Food Analysis".IEEE TRANSACTIONS ON MULTIMEDIA 20.4(2018):950-964.
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