Deep learning for content-based image retrieval: A comprehensive study

• Main Authors: WAN, Ji, WANG, Dayong, HOI, Steven C. H., WU, Pengcheng, ZHU, Jianke, ZHANG, Yongdong, LI, Jintao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: content-based image retrieval; convolutional neural networks; deep learning; feature representation; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/2320; https://ink.library.smu.edu.sg/context/sis_research/article/3320/viewcontent/DeepLearningContent_BasedIR_2014_MM.pdf
• Institution: Singapore Management University

Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image retrieval (CBIR) system. Despite extensive research efforts for decades, it remains one of the most challenging open problems that considerably hinders the successes o...