A latent model for visual disambiguation of keyword-based image search

• Main Authors: WAN, Kong-Wah, TAN, Ah-hwee, LIM, Joo-Hwee, CHIA, Liang-Tien, ROY, Sujoy
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• 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
• Institution: Singapore Management University

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...