Semi-supervised distance metric learning for collaborative image retrieval

• Main Authors: HOI, Steven, LIU, Wei, CHANG, Shih-Fu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2008
• Subjects: content-based retrieval; graph theory; groupware; image retrieval; learning (artificial intelligence); relevance feedback; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2381; https://ink.library.smu.edu.sg/context/sis_research/article/3381/viewcontent/CVPR08_ssml.pdf
• Institution: Singapore Management University

Typical content-based image retrieval (CBIR) solutions with regular Euclidean metric usually cannot achieve satisfactory performance due to the semantic gap challenge. Hence, relevance feedback has been adopted as a promising approach to improve the search performance. In this paper, we propose a no...