Tag-based social image retrival system

• Main Author: Teo, Madeline Zhi Wei.
• Other Authors: Sun Aixin
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: http://hdl.handle.net/10356/48492
• Institution: Nanyang Technological University

iAvatar is an existing Tag-based Social Image Retrieval system. At present, it allows users to search for images based on the tags. To enhance iAvatar, concept detection would be included for the tags. Concept detection helps to organize the results returned and hence allow users to find their ideal images or further refine their search words. Concept detection will be presented graphically, hence the graphical layout and interface will be the main focus in this project. Concept detection also encompasses the concepts of pattern recognition via clustering and data visualization techniques to provide the results to the users in a clear and intuitive way. First, this project would explore the visualization elements including the way to represent and also the algorithm to uncover the concepts within the tags results. Subsequently, these will be integrated into the functions of iAvatar through Java GUI programming.