Contextual Image Search

Wenhao Lu1, Jingdong Wang2, Xian-Sheng Hua2, Shengjin Wang1, and Shipeng Li2
1Tsinghua University  2Microsoft Research Asia
 
Overview
 

Abstract

In this paper, we present a novel image search system, image search by concept map. This system enables users to indicate not only what semantic concepts are expected to appear but also how these concepts are spatially distributed in the desired images. To this end, we propose a new image search interface to enable users to formulate a query, called concept map, by intuitively typing textual queries in a blank canvas to indicate the desired spatial positions of the concepts. In the ranking process, by interpreting each textual concept as a set of representative visual instances, the concept map query is translated into a visual instance map, which is then used to evaluate the relevance of the image in the database. Experimental results demonstrate the effectiveness of the proposed system.

 

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Bibtex

@inproceedings{cis:mm:2011,
 author = "Wenhao Lu, Jingdong Wang, Xian-Sheng Hua, Shengjin Wang, Shipeng Li",
 title  = "Contextual Image Search",
 booktitle = "ACM Multimedia",
 year   = "2011"
 }
 

Results

Image search with textual contexts
 
Example 1
Example1
Image search with the masked query "Micheal Jordan"
Example1
Image search with query "Micheal Jordan" and textual context "dunk" and "slam"
 
Example 2
Example2
Image search with the masked query "Cambridge England"
Example2
Image search with query "Cambridge England" and textual context "river", "boat" and "floating"
 
Example 3
Example3
Image search with the masked query "George Bush"
Example3
Image search with query "George Bush" and textual context "joke", "fool" and "prank"
 
Image search with visual contexts
 
Example 4
Example4
Image search with the masked query "Queen Victoria"
VC4
Visual context
Example4
Image search with query "Queen Victoria" and visual context
 
Example 5
Example5
Image search with the masked query "tower bridge"
VC5
Visual context
Example5
Image search with query "tower bridge" and visual context
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