Distance metric learning for multi-modal image retrieval and annotation
With the rapid growth of digital cameras and photo sharing websites, content-based image retrieval (CBIR) and search-based image annotation are important techniques for many real-world multimedia applications. They remain open challenges today, despite being studied extensively for a few decades in...
Saved in:
Main Author: | Wu, Pengcheng |
---|---|
Other Authors: | Hoi Chu Hong |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/60499 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Search based face annotation
by: Wang, Dayong
Published: (2014) -
Advanced topics in learning to hash for large-scale retrieval
by: Huang, Long-Kai
Published: (2020) -
Semi-supervised distance metric learning for collaborative image retrieval
by: HOI, Steven, et al.
Published: (2008) -
Online multi-modal distance metric learning with application to image retrieval
by: WU, Pengcheng, et al.
Published: (2014) -
Online multi-modal distance metric learning with application to image retrieval
by: WU, Pengcheng, et al.
Published: (2016)