书目名称 | Image Based Computing for Food and Health Analytics: Requirements, Challenges, Solutions and Practic | 副标题 | IBCFHA | 编辑 | Rajeev Tiwari,Deepika Koundal,Shuchi Upadhyay | 视频video | | 概述 | Provides a comprehensive understanding of computer vision and intelligence methodologies.Focuses on the underlying idea of employing sustainable 4 IR technologies.Allows readers to understand healthca | 图书封面 |  | 描述 | .Increase in consumer awareness of nutritional habits has placed automatic food analysis in the spotlight in recent years. However, food-logging is cumbersome and requires sufficient knowledge of the food item consumed. Additionally, keeping track of every meal can become a tedious task. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges because most of the current methods for dietary assessment must rely on memory to recall foods eaten. Food understanding from digital media has become a challenge with important applications in many different domains. Substantial research has demonstrated that digital imaging accurately estimates dietary intake in many environments and it has many advantages over other methods. However, how to derive the food information effectively and efficiently remains a challenging and open research problem. The provided recommendations could be based on calorie counting, healthy food and specific nutritional composition. In addition, if we also consider a system able to log the food consumed by every individual along time, it could provide health-related recommendations in the long-term...Computer Visi | 出版日期 | Book 2023 | 关键词 | Food Computing; Nutritional Analysis; Image Processing; Ai and ML; Industry 4; 0 frameworks | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-22959-6 | isbn_softcover | 978-3-031-22961-9 | isbn_ebook | 978-3-031-22959-6 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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