Paper Info
Title
Performance Evaluation Methods of Computer Vision Systems for Meal Assessment.
Abstract
Several systems have been proposed for the automatic food intake assessment and dietary support by analyzing meal images captured by smartphones. A typical system consists of computational stages that detect/segment the existing foods, recognize each of them, compute their volume, and finally estimate the corresponding nutritional information. Although this newborn field has made remarkable progress over the last years, the lack of standardized datasets and established evaluation frameworks has made difficult the comparison between methods and eventually prevented the formal definition of the problem. In this paper, we present an overview of the datasets and protocols used for evaluating the computer vision stages of the proposed automatic meal assessment systems.
Year
DOI
Venue
2016
10.1145/2986035.2986045
MADiMa @ ACM Multimedia
Keywords
Field
DocType
Meal assessment,computer vision,performance evaluation
Computer vision,Computer science,Formal description,Artificial intelligence
Conference
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Marios Anthimopoulos124713.75
Joachim Dehais2413.92
Stavroula G Mougiakakou334228.61