A Two-View Learning Approach for Image Tag Ranking

A Two-View Learning Approach for Image Tag Ranking

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...

Full description

Saved in:
Bibliographic Details
Main Authors: ZHUANG, Jinfeng, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
Annotation
Image search
Optimization
Recommendation
Social images
Tag ranking
Two-view learning
Computer Sciences
Databases and Information Systems
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

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

Similar Items