Content-based image retrieval with statistical machine learning.
Content-based image retrieval (CBIR) has attracted intensive attention in the computer vision community during the last decades. Relevance feedback (RF) is a powerful tool to bridge the gap between low-level visual features and high-level semantic concepts in CBIR. Although many algorithms have obta...
Saved in:
Main Author: | Zhang, Lining. |
---|---|
Other Authors: | Wang Lipo |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/54889 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Generalized biased discriminant analysis for content-based image retrieval
by: Zhang, Lining., et al.
Published: (2012) -
Content-based image retrieval system in pathology
by: Loh, Jasmine.
Published: (2011) -
Content-based image indexing and retrieval
by: Lim, Chin Yong.
Published: (2012) -
Semisupervised biased maximum margin analysis for interactive image retrieval
by: Zhang, Lining., et al.
Published: (2012) -
Content-based image retrieval based on colour and spatial features
by: Tan, Gay Kheun.
Published: (2008)