Click-boosting random walk for image search reranking
Image reranking is an effective way for improving the retrieval performance of keyword-based image search engines. A fundamental issue underlying the success of existing image reranking approaches is the ability in identifying potentially useful recurrent patterns or relevant training examples from...
Saved in:
Main Authors: | YANG, Xiaopeng, ZHANG, Yongdong, YAO, Ting, ZHA, Zheng-Jun, NGO, Chong-Wah |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6643 https://ink.library.smu.edu.sg/context/sis_research/article/7646/viewcontent/2499788.2499810.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Click-boosting multi-modality graph-based reranking for image search
by: YANG, Xiaopeng, et al.
Published: (2015) -
Circular reranking for visual search
by: YAO, Ting, et al.
Published: (2013) -
Co-reranking by mutual reinforcement for image search
by: YAO, Ting, et al.
Published: (2010) -
Attribute-assisted reranking for web image retrieval
by: Cai, J., et al.
Published: (2013) -
Optimizing multimodal reranking for web image search
by: Li, H., et al.
Published: (2013)