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iAVATAR: An Interactive Tool for Finding and Visualizing Visual-Representative Tags in Image Search
 

Summary: iAVATAR: An Interactive Tool for Finding and Visualizing
Visual-Representative Tags in Image Search
Aixin Sun Sourav S Bhowmick Yao Liu
School of Computer Engineering, Nanyang Technological University, Singapore
axsun|assourav@ntu.edu.sg
ABSTRACT
Tags associated with social images are valuable information source
for superior image search and retrieval experiences. Due to the
nature of tagging, many tags associated with images are not visu-
ally descriptive. Consequently, presence of these noisy tags may
reduce the effectiveness of tags' role in image retrieval. To ad-
dress this problem, we demonstrate iAVATAR (interActive VisuAl-
representative TAgs Relationship) system that uses the notion of
Normalized Image Tag Clarity (NITC) to find visual-representative
tags. A visual-representative tag effectively describes the visual
content of the images. Further, we visually demonstrate relation-
ships between popular tags and visual-representative tags as well as
co-occurrence likelihood of a pair of tags associated with a search
tag or image using tag relationship graph (TRG). We demonstrate
various innovative features of iAVATAR with a real-world dataset

  

Source: Aixin, Sun - School of Computer Engineering, Nanyang Technological University

 

Collections: Computer Technologies and Information Sciences