It is our pleasure to welcome you to the Workshop on Multimedia for Cooking and Eating Activities (CEA'18) in conjunction with the 2018 International Joint Conference on Artificial Intelligence (IJCAI'18), the tenth of its series, held in Stockholm, Sweden. Cooking and eating have been the most fundamental activities of humankind from ancient days, which affect various aspects of human life such as health, dietary, human communication, safety of food, entertainment, culinary art, welfare, and so on. However, many people who cook at home require supports for cooking because it requires experience and knowledge. They may also need support for food-logging and menu planning for the health of themselves and their families. Needless to say, support for a good and enjoyable dinner would improve the quality of life. On the other hand, systematic cooking and eating support for the elderly and/or physically challenged people are significantly important.
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Cooking activities recognition in egocentric videos using combining 2DCNN and 3DCNN
Recently activities recognition in egocentric videos using wearable camera is one of the hot topic in computer vision. We mainly focus on the problem of cooking activities recognition in egocentric videos. An accurate cooking activities recognition ...
Intuitively estimating the healthiness of meals from their images: image-based meal rating system to encourage self-management of diabetes
Self-management of meals is a key component of treating diabetes. There are systems that support meal planning by processing the images of meals. Most such systems output the estimated nutrition values of the individual dishes, however, a more intuitive ...
Resource intensity for menu items: how much land is required to provide for each dish?
In this study, we compute the Total Material Requirement (TMR) for dishes listed on popular cooking / recipe websites. TMR is an environmental index of a product representing the ultimate amount of raw extracted material necessary for producing a ...
Recognition and localization of food in cooking videos
In this paper, we describe experiments with techniques for locating foods and recognizing food states in cooking videos. We describe production of a new data set that provides annotated images for food types and food states. We compare results with two ...
A study on the factors affecting the attractiveness of food photography
This paper reports the results of the analysis on the factors affecting the attractiveness of food photos. So far, we focused on only the camera framing (i.e. camera angle) as a major factor that affects the attractiveness of food photos, and proposed a ...
Two-step validation in character-based ingredient normalization
Although ingredients are important items of information in recipes, it is difficult to process them, especially for computers, because they are user-generated informal text. To normalize ingredients, we can use a character-based encoder-decoder model ...
SRGAN for super-resolving low-resolution food images
Single image super-resolution, especially SRGAN, can generate photorealistic images from down-sampled images. However, it is difficult to super-resolve originally low resolution images that contain some artifacts and were taken many years ago. In this ...
Presentation of failure-prone processes in a cooking recipe
In user-contributed recipe sites, contributors describe recipes implicitly assuming their own tacit knowledge based on their technical level. Therefore, descriptions that are likely to fail in the cooking process may be omitted. The purpose of this ...
Cooking activities recognition in egocentric videos using hand shape feature with openpose
Recently people can easily obtain wearable cameras and it is easy to record egocentric videos by using them. Therefore, daily activity recognition from egocentric videos is one of the hot topics in computer vision. In this research, we propose a new ...
A multi-task learning approach for meal assessment
- Ya Lu,
- Dario Allegra,
- Marios Anthimopoulos,
- Filippo Stanco,
- Giovanni Maria Farinella,
- Stavroula Mougiakakou
Key role in the prevention of diet-related chronic diseases plays the balanced nutrition together with a proper diet. The conventional dietary assessment methods are time-consuming, expensive and prone to errors. New technology-based methods that ...
Multi-task learning of dish detection and calorie estimation
In recent years, a rise in healthy eating has led to various food management applications, which have image recognition to automatically record meals. However, most image recognition functions in existing applications are not directly useful for ...
Automatic reasoning evaluation in diet management based on an italian cookbook
In this paper we consider the problem of the quantitative and qualitative evaluation of an automatic reasoner for the diet domain. In [3, 17] we presented an initial quantitative evaluation of a dietary assistant based on simple temporal problems (STPs)...
Bag-of-foods: analysis of personal foodlogging data
Food has great influence on our health, but at the same time it delights us. Food plays complexed role in our life because of these different aspects, thus dietary preferences should clearly show one's characteristics. However, since large food-intake ...
Food category transfer with conditional cycleGAN and a large-scale food image dataset
This paper describes "food image transformation" based on a conditional cycleGAN[A3] (cCycleGAN) with a large-scale food image data collected from the Twitter stream. A cCycleGAN is an extension of CycleGAN, which enables "food category transfer" among ...
Food image generation using a large amount of food images with conditional GAN: ramenGAN and recipeGAN
Recently, image generation by Deep Convolutional Neural Network has been studied widely by many researchers. In this paper, we describe CNN-based image generation on food images. Especially, we focus on image generation using conditional Generative ...