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:
主要作者: | Wu, Pengcheng |
---|---|
其他作者: | Hoi Chu Hong |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2014
|
主題: | |
在線閱讀: | http://hdl.handle.net/10356/60499 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Search based face annotation
由: Wang, Dayong
出版: (2014) -
Advanced topics in learning to hash for large-scale retrieval
由: Huang, Long-Kai
出版: (2020) -
Collecting and annotating videos that teach MS PowerPoint
由: Tan, Isaac Jun Hong
出版: (2023) -
Semi-supervised distance metric learning for collaborative image retrieval
由: HOI, Steven, et al.
出版: (2008) -
Distance metric learning for visual recognition
由: Hu, Junlin
出版: (2018)