会议论文

Pan, Lili

英文

2017 IEEE 3RD INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC)

2017

181-189

3rd IEEE International Conference on Collaboration and Internet Computing (CIC)

OCT 15-17, 2017

San Jose, CA

[Pan, Lili;Qin, Jiaohua] Cent South Univ Forestry & Technol, Coll Comp Sci & Informat Technol, Changsha, Hunan, Peoples R China.^[Pouyanfar, Samira;Chen, Shu-Ching] Florida Int Univ, Sch Comp & Informat Sci, Miami, FL 33199 USA.^[Chen, Hao] Hunan Univ, Coll Comp Sci & Elect Engn, Changsha, Hunan, Peoples R China.

IEEE, Univ Pittsburgh, Sch Comp & Informat, Drexel Univ, Coll Comp & Informat, Swinburne Univ Technol, IEEE Comp Soc

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-2565-1

10.1109/CIC.2017.00033

National Natural Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61772561]; Science Research of Hunan Provincial Education Department of China [16C1659]; Teaching Reform Project of Central South University of Forestry and Technology of China [1020208]

本校为第一且通讯机构

Deep learning has brought a series of breakthroughs in image processing. Specifically, there are significant improvements in the application of food image classification using deep learning techniques. However, very little work has been studied for the classification of food ingredients. Therefore, this paper proposes a new framework, called DeepFood which not only extracts rich and effective features from a dataset of food ingredient images using deep learning but also improves the average accuracy of multi-class classification by applying advanced machine learning techniques. First, a set of...