Visual attention modeling and its applications
The visual environment for observers is usually complex, and it is impossible for the human visual system (HVS) to process all signal components and figure out their relationships immediately. Selective attention in the HVS allocates most processing resources to the salient regions rather than the e...
Saved in:
主要作者: | Fang, Yuming |
---|---|
其他作者: | Lin Weisi |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2013
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/51079 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Visual attention model analysis and benchmarking
由: Tan, Weisheng.
出版: (2011) -
Finding visual attention regions in videos
由: Ang, Kenny Wen Bin
出版: (2010) -
Detection of visual attention regions in images and videos
由: Hu, Yiqun
出版: (2009) -
A saliency detection model using low-level features based on wavelet transform
由: İmamoğlu, Nevrez, et al.
出版: (2013) -
Feature representation and learning methods in visual search applications
由: Manandhar, Dipu
出版: (2019)