Click-through-based subspace learning for image search

• Main Authors: PAN, Yingwei, YAO, Ting, TIAN, Xinmei, LI, Houqiang, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Click-through data; DNN image representation; Image search; Subspace learning; Databases and Information Systems; Data Storage Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6529; https://ink.library.smu.edu.sg/context/sis_research/article/7532/viewcontent/2647868.2656404.pdf
• Institution: Singapore Management University

One of the fundamental problems in image search is to rank image documents according to a given textual query. We address two limitations of the existing image search engines in this paper. First, there is no straightforward way of comparing textual keywords with visual image content. Image search e...