Summary: CASIS: A System for Concept-Aware Social Image Search
Ba Quan Truong
Sourav S. Bhowmick
School of Computer Engineering, Nanyang Technological University, Singapore 639798
Tag-based social image search enables users to formulate queries
using keywords. However, as queries are usually very short and
users have very different interpretations of a particular tag in an-
notating and searching images, the returned images to a tag query
usually contain a collection of images related to multiple concepts.
We demonstrate Casis, a system for concept-aware social image
search. Casis detects tag concepts based on the collective knowl-
edge embedded in social tagging from the initial results to a query.
A tag concept is a set of tags highly associated with each other and
collectively conveys a semantic meaning. Images to a query are
then organized by tag concepts. Casis provides intuitive and in-