Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKoh, Josephine Si Tingen_US
dc.description.abstractWith the evolution of camera features on mobile phones, users often have a difficult time rummaging for specific photos in their huge gallery collection. Thus, this project aims to develop a text-based search application based on deep learning techniques. As Deep Learning are widely used in many different applications, this project narrows down to explore the classification of Singapore related events. This project would study the different methods that are being used to develop an image classifier. With the suitable method chosen, images will be gathered manually to construct the dataset required. Using transfer learning techniques, different models will be studied and tested as a comparison. The best performing model would be used in the text-based image search application. The last part of the project, a GUI application would be created and integrated using multiple classifiers namely events classifier, landmark classifier and group emotion recognition. The application would enable users to search and retrieve images using the keywords that they enter. Lastly, several discussions will be done on how the current model and dataset can be further improved to develop a more robust classifier.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleVisual analytics using artificial intelligence : visual events classifier using deep learningen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYap Kim Huien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP Final Report_Josephine.pdf
  Restricted Access
20.16 MBAdobe PDFView/Open

Page view(s)

Updated on Mar 30, 2023

Download(s) 50

Updated on Mar 30, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.