Mining multiple visual appearances of semantics for image annotation

• Main Authors: TAN, Hung-Khoon, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Apriori; Image annotation; Multiple-instance learning; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6677; https://ink.library.smu.edu.sg/context/sis_research/article/7680/viewcontent/LNCS_4351___Advances_in_Multimedia_Modeling.pdf
• Institution: Singapore Management University

This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single concept point of a category are limited in their effectiveness for image annotation. We propose to use data mining techn...