Click-through-based cross-view learning for image search

• Main Authors: PAN, Yingwei, YAO, Ting, MEI, Tao, LI, Houqiang, NGO, Chong-wah, RUI, Yong
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2014
• 主題: Clickthrough data; Cross-view learning; DNN image representation; Image search; Subspace learning; Data Storage Systems; Graphics and Human Computer Interfaces
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/6514; https://ink.library.smu.edu.sg/context/sis_research/article/7517/viewcontent/2600428.2609568.pdf

One of the fundamental problems in image search is to rank image documents according to a given textual query. Existing search engines highly depend on surrounding texts for ranking images, or leverage the query-image pairs annotated by human labelers to train a series of ranking functions. However,...