Collaborative Image Retrieval via Regularized Metric Learning

• Main Authors: SI, Luo, JIN, Rong, HOI, Steven C. H., LYU, Michael R.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Content-based image retrieval; Relevance feedback; Log-based relevance feedback; Relevance feedback log; Users; Semantic gap; Metric learning; Regularization; Semidefinite programming; Computer Sciences; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2304; https://ink.library.smu.edu.sg/context/sis_research/article/3304/viewcontent/Collaborative_Image_Retrieval_via_Regularized_Metric_Learning.pdf
• Institution: Singapore Management University

In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between the low-level image features used for computing image similarity and the high-level semantic concepts conveyed in images....