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

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

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,...

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Bibliographic Details
Main Authors: PAN, Yingwei, YAO, Ting, MEI, Tao, LI, Houqiang, NGO, Chong-wah, RUI, Yong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2014
Subjects:
Clickthrough data
Cross-view learning
DNN image representation
Image search
Subspace learning
Data Storage Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6514
https://ink.library.smu.edu.sg/context/sis_research/article/7517/viewcontent/2600428.2609568.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6514
https://ink.library.smu.edu.sg/context/sis_research/article/7517/viewcontent/2600428.2609568.pdf

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