CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)最新文献
{"title":"A regional food's features extraction algorithm and its application","authors":"T. Nguyen, Diep Thi Ngoc Nguyen, Y. Kiyoki","doi":"10.1145/2506023.2506027","DOIUrl":"https://doi.org/10.1145/2506023.2506027","url":null,"abstract":"Automatically detecting food's taste is a non-trivial part. However, we realize that the taste of food can be extracted by directly analyzing recipes by the ingredients and the amount of them in the recipes. In this paper, we present a food analysis system to discover the taste of foods and to better understand the featured ingredients in each specific geographical region. The main features of this system are (1) to extract dominant ingredients and tastes in a region by analyzing the ingredients' frequency and its uniqueness, and (2) to transform user's existing materials or original recipe to a new recipe according to a targeted taste. To examine the feasibility and applicability of the algorithm, we have developed a web-based application with a recipe database collected from approximately 200 recipes in over 7 regions of Japan: Hokkaido-Tohoku, Kanto, Kansai, Shikoku, Tyubu, Kyusyu-Okinawa and Tyugoku.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"117 1","pages":"15-20"},"PeriodicalIF":0.0,"publicationDate":"2013-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79383788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yasuhiro Hayashi, Keisuke Doman, I. Ide, Daisuke Deguchi, H. Murase
{"title":"Automatic authoring of a domestic cooking video based on the description of cooking instructions","authors":"Yasuhiro Hayashi, Keisuke Doman, I. Ide, Daisuke Deguchi, H. Murase","doi":"10.1145/2506023.2506028","DOIUrl":"https://doi.org/10.1145/2506023.2506028","url":null,"abstract":"Traditionally, a cooking recipe is mainly composed of text. Since it may be difficult to intuitively understand or imagine the overall cooking process from such a cooking recipe, it is preferable to publish it with a video that briefly explains the process and appropriately describes the cooking operations. Therefore, this paper proposes an automatic video authoring method that reduces both temporal and spatial redundancies from a cooking video taken at home according to the description of cooking instructions in a cooking recipe that will be published together. We conducted several kinds of subject experiments, and confirmed the effectiveness of the proposed method.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"46 1","pages":"21-26"},"PeriodicalIF":0.0,"publicationDate":"2013-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73653367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraction of ingredient names from recipes by combining linguistic annotations and CRF selection","authors":"Thierry Hamon, N. Grabar","doi":"10.1145/2506023.2506035","DOIUrl":"https://doi.org/10.1145/2506023.2506035","url":null,"abstract":"Nutrition and diet have direct and considerable impact on our well-being and health. This field attracts researchers from different areas, such as medicine, nutrition and epidemiology, computer sciences, artificial intelligence and natural language processing (NLP).We process the recipes with NLP methods in order to automatically identify ingredient names within recipes. We propose a hybrid system based on linguistic enrichment of the recipes and selection of the relevant ingredient names with a CRF method. Semantic resources have been specifically built for processing two kinds of information: exact (e.g. quantity expressed in grams or liters, durations expressed in minutes or days) and fuzzy (e.g. quantities expressed in chouilla (smidgeon) and louche (ladle), durations sequenced with aprèes, ensuite, alors que (the, after that, while)). The experiments are performed with French-language textual data. The results demonstrate that the proposed method is useful for searching and managing the recipes.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"107 1","pages":"63-68"},"PeriodicalIF":0.0,"publicationDate":"2013-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81808360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xu Chang, He Ye, Parra Albert, Delp Edward, Khanna Nitin, Boushey Carol
{"title":"Image-Based Food Volume Estimation.","authors":"Xu Chang, He Ye, Parra Albert, Delp Edward, Khanna Nitin, Boushey Carol","doi":"10.1145/2506023.2506037","DOIUrl":"10.1145/2506023.2506037","url":null,"abstract":"<p><p>In this paper, we propose an extension to our previous work on food portion size estimation using a single image and a multi-view volume estimation method. The single-view technique estimates food volume by using prior information (segmentation and food labels) generated from food identification methods we described earlier. For multi-view volume estimation, we use\"Shape from Silhouettes\"to estimate the food portion size. The experimental results of our volume estimation methods demonstrate our results with respect to accuracy and reliability.</p>","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"2013 ","pages":"75-80"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5448987/pdf/nihms823612.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35053259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kyohei Ogawa, Yukari Hori, Toshiki Takeuchi, Takuji Narumi, T. Tanikawa, M. Hirose
{"title":"Table talk enhancer: a tabletop system for enhancing and balancing mealtime conversations using utterance rates","authors":"Kyohei Ogawa, Yukari Hori, Toshiki Takeuchi, Takuji Narumi, T. Tanikawa, M. Hirose","doi":"10.1145/2390776.2390783","DOIUrl":"https://doi.org/10.1145/2390776.2390783","url":null,"abstract":"The purpose of this research is to enhance mealtime communication by visualizing the utterance rates of individuals during meals. We developed a system called \"Table Talk Enhancer\" that visualizes mealtime communication by illuminating the dining table surface with three LED lights (red, green, and blue). The system records the voices of people sharing a meal using directional microphones fixed at the center of the table, and it calculates their utterance rate, which is the ratio of time spent on individual utterances to the total mealtime. The system changes the illumination patterns of the table surface based on the values of the in- dividual utterance rates and a balance of them. Each LED light shines brightly when people speak frequently, and each of the lights blinks synchronously when the utterance rates of the individual users have a proper balance. This illumination affects the conversation implicitly. For an evaluation, we installed our proposed system at a public location for five days. We did not teach the participants the meaning of the different illumination patterns. As a result, we found that although the participants did not know the specific meaning of the feedback, their utterance rates during meals increased more with the feedback than without it.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"1 1","pages":"25-30"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77702972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanli Ji, Y. Ko, Atsushi Shimada, H. Nagahara, R. Taniguchi
{"title":"Cooking gesture recognition using local feature and depth image","authors":"Yanli Ji, Y. Ko, Atsushi Shimada, H. Nagahara, R. Taniguchi","doi":"10.1145/2390776.2390785","DOIUrl":"https://doi.org/10.1145/2390776.2390785","url":null,"abstract":"In this paper, we propose a method combining visual local features and depth image information to recognize cooking gestures. We employ the feature calculation method[2] which used extended FAST detector and a compact descriptor CHOG3D to calculate visual local features. We pack the local features by BoW in frame sequences to represent the cooking gestures. In addition, the depth images of hands gestures are extracted and integrated spatio-temporally to represent the position and trajectory information of cooking gestures. The two kinds of features are used to describe cooking gestures, and recognition is realized by employing the SVM. In our method, we determine the gesture class for each frame in cooking sequences. By analyzing the results of frames, we recognize cooking gestures in a continue frame sequences of cooking menus, and find the temporal positions of the recognized gestures.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"25 1","pages":"37-42"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87541418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Intelligent menu planning: recommending set of recipes by ingredients","authors":"Fang-Fei Kuo, Cheng-te Li, M. Shan, Suh-Yin Lee","doi":"10.1145/2390776.2390778","DOIUrl":"https://doi.org/10.1145/2390776.2390778","url":null,"abstract":"With the growth of recipe sharing services, online cooking recipes associated with ingredients and cooking procedures are available. Many recipe sharing sites have devoted to the development of recipe recommendation mechanism. However, there is a need for users to plan menu of meals by ingredients. While most research on food related research has been on recipe recommendation and retrieval, little research has been done on menu planning. In this paper, we investigate an intelligent menu planning mechanism which recommending sets of recipes by user-specified ingredients. Those recipes which are well-accompanied and contain the query ingredients are returned. We propose a graph-based algorithm for menu planning. The proposed approach constructs a recipe graph to capture the co-occurrence relationships between recipes from collection of menus. A menu is generated by approximate Steiner Tree Algorithm on the constructed recipe graph. Evaluation of menu collections from Food.com shows that the proposed approach achieves encouraging results.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"94 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84265500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kayo H. Iizuka, Takuya Okawada, K. Matsuyama, Sui Kurihashi, Yasuki Iizuka
{"title":"Food menu selection support system: considering constraint conditions for safe dietary life","authors":"Kayo H. Iizuka, Takuya Okawada, K. Matsuyama, Sui Kurihashi, Yasuki Iizuka","doi":"10.1145/2390776.2390786","DOIUrl":"https://doi.org/10.1145/2390776.2390786","url":null,"abstract":"This paper proposes a food menu selection support system to realize a safe dietary life considering constraint conditions. Nowadays, people have greater choice in food menu selection due to diversification of diet such as food choices available by dining out in restaurants and ready-made foods. Some people, such as food allergy and dialysis patients, however, are excluded from these benefits by dietary constraints...Food menu planning is difficult for people found to be allergic to certain foods, people on dialysis, or people who are recuperating at home after leaving hospital. To address these issues, we propose a food menu selection support system that considers the constraint conditions of individuals for a safe dietary life. The system supports various individual situations such as home, hospital, school, kindergarten and elder care residence.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"28 1","pages":"53-58"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81297284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atsushi Hashimoto, Jin Inoue, Kazuaki Nakamura, Takuya Funatomi, Mayumi Ueda, Yoko Yamakata, M. Minoh
{"title":"Recognizing ingredients at cutting process by integrating multimodal features","authors":"Atsushi Hashimoto, Jin Inoue, Kazuaki Nakamura, Takuya Funatomi, Mayumi Ueda, Yoko Yamakata, M. Minoh","doi":"10.1145/2390776.2390780","DOIUrl":"https://doi.org/10.1145/2390776.2390780","url":null,"abstract":"We propose a method for recognizing ingredients in food preparing activity. The research for object recognition mainly focuses on only visual information; however, ingredients are difficult to recognize only by visual information because of their limited color variations and larger within-class difference than inter-class difference in shapes. In this paper, we propose a method that involves some physical signals obtained in a cutting process by attaching load and sound sensors to the chopping board. The load may depend on an ingredient's hardness. The sound produced when a knife passes through an ingredient reflects the structure of the ingredient. Hence, these signals are expected to facilitate more precise recognition. We confirmed the effectiveness of the integration of the three modalities (visual, auditory, and load) through experiments in which the developed method was applied to 23 classes of ingredients.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"80 1","pages":"13-18"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79269896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kenzaburo Miyawaki, Mutsuo Sano, Syunichi Yonemura, M. Ode
{"title":"Cooking rehabilitation support for self-reliance of cognitive dysfunction patients","authors":"Kenzaburo Miyawaki, Mutsuo Sano, Syunichi Yonemura, M. Ode","doi":"10.1145/2390776.2390782","DOIUrl":"https://doi.org/10.1145/2390776.2390782","url":null,"abstract":"Cognitive dysfunction patients often interfere with cooking action and give up it. We have proposed the navigation system which supports cooking according to the grade of cognitive dysfunction, and have conducted the experiments of cognitive rehabilitation program (the cycle of cooking, eating, and reviewing) for verifying the hypothesis of having a possibility that the rehabilitation using the proposed system will promote self-reliance of their daily life. Consequently, for cognitive dysfunction patients, it was verified that their self-efficacy improves and there was also a tendency of improving their cognitive function. In this paper, we notice four basic technologies of supporting this rehabilitation program, i.e., 1) recipe transformation according to the grade of disables, 2) support technology for cooking in parallel, 3) group cooking support for improving social skills, 4) remote cooking rehabilitation, and we discuss the verification results and how there should be any rehabilitation program.","PeriodicalId":91851,"journal":{"name":"CEA'13 : proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities : October 21, 2013, Barcelona, Spain. Workshop on Multimedia for Cooking and Eating Activities (5th : 2013 : Barcelona, Spain)","volume":"214 1","pages":"19-24"},"PeriodicalIF":0.0,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72832755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}