Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97051
Title: CASIS : a system for Concept-Aware Social Image Search
Authors: Truong, Ba Quan
Sun, Aixin
Bhowmick, Sourav S.
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Source: Truong, B. Q., Sun, A., & Bhowmick, S. S. (2012). CASIS: A System for Concept-Aware Social Image Search. Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion.
Abstract: 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 annotating 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 knowledge 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 interactive browsing of search results through a tag concept graph, which visualizes the tags defining each tag concept and their relationships within and across concepts. Supporting multiple retrieval methods and multiple concept detection algorithms, Casis offers superior social image search experiences by choosing the most suitable retrieval methods and concept-aware image organizations.
URI: https://hdl.handle.net/10356/97051
http://hdl.handle.net/10220/11708
DOI: 10.1145/2187980.2188065
Rights: © 2012 International World Wide Web Conferences Committee (IW3C2). This paper was published in Proceedings of the 21st international conference companion on World Wide Web and is made available as an electronic reprint (preprint) with permission of International World Wide Web Conferences Committee (IW3C2). The paper can be found at the following official DOI: [http://dx.doi.org/10.1145/2187980.2188065]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Conference Papers

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