A latent model for visual disambiguation of keyword-based image search
The problem of polysemy in keyword-based image search arises mainly from the inherent ambiguity in user queries. We propose a latent model based approach that resolves user search ambiguity by allowing sense specific diversity in search results. Given a query keyword and the images retrieved by issu...
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Main Authors: | WAN, Kong-Wah, TAN, Ah-hwee, LIM, Joo-Hwee, CHIA, Liang-Tien, ROY, Sujoy |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6745 https://ink.library.smu.edu.sg/context/sis_research/article/7748/viewcontent/Latent_BMVC_2009.pdf |
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Institution: | Singapore Management University |
Language: | English |
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