A Two-View Learning Approach for Image Tag Ranking

• Main Authors: ZHUANG, Jinfeng, HOI, Steven C. H.
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2011
• 主題: Annotation; Image search; Optimization; Recommendation; Social images; Tag ranking; Two-view learning; Computer Sciences; Databases and Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/2353; https://ink.library.smu.edu.sg/context/sis_research/article/3353/viewcontent/A_Two_View_Learning_Approach_for_Image_Tag_Ranking.pdf
• 機構: Singapore Management University

Tags of social images play a central role for text-based social image retrieval and browsing tasks. However, the original tags annotated by web users could be noisy, irrelevant, and often incomplete for describing the image contents, which may severely deteriorate the performance of text-based image...