Tag-based social image retrieval web interface

• Main Author: Ang, Serene Geok Khim
• 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/10356/49156
• Institution: Nanyang Technological University

The graphical social images retrieval system - iAVATAR (interActive VisuAl-representative TAgs Relationship) is a software system that explores the relationship between tags by visual-representatives, frequency and co-occurrence, coherently. In this project, iAVATAR is evolved into a web based system that analyzes different interface libraries to enhance the web interface. Tag-based social image search is an important approach to extend the image content of interest on these websites. From the query tag search, iAVATAR presents users a visual explanation of the retrieved social images, which is the gallery that contains images and with graphical visual effects that listed all the related tags to users. In this project, different libraries that are available online are carried out to test the compatibility with the non-web program.