Representing Visual Complexity of Images Using a 3D Feature Space Based on Structure, Noise, and Diversity.
Phuc Quang LeAbdullah M. IliyasuJesus A. GarciaFangyan DongKaoru HirotaPublished in: J. Adv. Comput. Intell. Intell. Informatics (2012)
Keyphrases
- feature space
- image structure
- noise sensitivity
- input image
- visual environment
- image retrieval
- image data
- high contrast
- image analysis
- image database
- gaussian noise
- three dimensional
- visual patterns
- image noise
- object recognition
- visual attributes
- visually similar
- visual appearance
- imaging process
- geometric structure
- image classification
- input data
- image collections
- visual data
- test images
- image features
- image regions
- noise free
- high dimensional
- observed scene
- distorted images
- image content
- feature points
- visual similarity
- visual information
- signal to noise ratio
- feature vectors
- input space