16 resultados para Dietary Intake
Filtro por publicador
- Aberdeen University (7)
- Abertay Research Collections - Abertay University’s repository (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- Aquatic Commons (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Aston University Research Archive (6)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (24)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (19)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (10)
- Bioline International (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (16)
- Brock University, Canada (6)
- CentAUR: Central Archive University of Reading - UK (112)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (7)
- Cochin University of Science & Technology (CUSAT), India (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (8)
- Deakin Research Online - Australia (212)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (9)
- Digital Repository at Iowa State University (1)
- DigitalCommons@The Texas Medical Center (32)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (13)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (1)
- Institute of Public Health in Ireland, Ireland (1)
- Instituto Politécnico de Viseu (3)
- Instituto Politécnico do Porto, Portugal (3)
- National Center for Biotechnology Information - NCBI (3)
- Publishing Network for Geoscientific & Environmental Data (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (66)
- Queensland University of Technology - ePrints Archive (107)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (2)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (136)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Scielo España (2)
- Universidad del Rosario, Colombia (3)
- Universidad Politécnica de Madrid (3)
- Universidade de Lisboa - Repositório Aberto (4)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (3)
- Université de Montréal (1)
- Université de Montréal, Canada (21)
- University of Connecticut - USA (1)
- University of Michigan (1)
- University of Queensland eSpace - Australia (17)
- University of Washington (2)
- WestminsterResearch - UK (4)
Resumo:
Diet management is a key factor for the prevention and treatment of diet-related chronic diseases. Computer vision systems aim to provide automated food intake assessment using meal images. We propose a method for the recognition of already segmented food items in meal images. The method uses a 6-layer deep convolutional neural network to classify food image patches. For each food item, overlapping patches are extracted and classified and the class with the majority of votes is assigned to it. Experiments on a manually annotated dataset with 573 food items justified the choice of the involved components and proved the effectiveness of the proposed system yielding an overall accuracy of 84.9%.