A Unified Log-based Relevance Feedback Scheme for Image Retrieval

• Main Authors: HOI, Steven, LYU, Michael R., JIN, Rong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Content-based image retrieval; log data; log-based relevance feedback; relevance feedback; semantic gap; support vector machines.; user issues; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/2311; https://ink.library.smu.edu.sg/context/sis_research/article/3311/viewcontent/Unified_Log_Based_Relevance_Feedback_Scheme_2006_afv.pdf
• Institution: Singapore Management University

Relevance feedback has emerged as a powerful tool to boost the retrieval performance in content-based image retrieval (CBIR). In the past, most research efforts in this field have focused on designing effective algorithms for traditional relevance feedback. Given that a CBIR system can collect and s...