Author ORCID Identifier
Date Available
11-13-2019
Year of Publication
2019
Document Type
Master's Thesis
Degree Name
Master of Science (MS)
College
Engineering
Department/School/Program
Computer Science
Advisor
Dr. Guo-Qiang Zhang
Co-Director of Graduate Studies
Dr. Jin Chen
Abstract
Data collecting and preparing is generally considered a crucial process in data science projects. Especially for image data, adding semantic attributes when preparing image data provides much more insights for data scientists. In this project, we aim to implement a general-purpose central image data repository that allows image researchers to collect data with semantic properties as well as data query. One of our researchers has come up with the specific challenge of collecting images with weight data of infants in least developed countries with limited internet access. The rationale is to predict infant weights based on image data by applying Machine Learning techniques. To address the data collecting issue, I implemented a mobile application which features online and offline image and annotation upload and a web application which features image query functionality. This work is derived and partly decoupled from the previous project – ImageSfERe (Image Sharing for Epilepsy Research), which is a web-based platform to collect and share epilepsy patient imaging.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2019.164
Recommended Citation
Wu, Xi, "METADATA-BASED IMAGE COLLECTING AND DATABASING FOR SHARING AND ANALYSIS" (2019). Theses and Dissertations--Computer Science. 80.
https://uknowledge.uky.edu/cs_etds/80
