An Applicable Multiple-Level Classification Based on Image Semantic.
Hongli XuXu DeFangshi WangFeifei FanPublished in: ICICIC (3) (2006)
Keyphrases
- image classification
- image data
- image retrieval
- image representation
- image content
- image feature extraction
- image analysis
- image matching
- single image
- image features
- semantic level
- pixel level
- image pixels
- classification accuracy
- multiscale
- input image
- segmentation method
- image segmentation
- low level
- machine learning
- feature representation
- pattern recognition
- text classification
- extracted features
- class specific
- image collections
- class labels
- confidence scores
- edge detection
- high resolution
- feature vectors
- support vector
- decision trees
- video sequences
- computer vision
- feature selection
- preprocessing stage
- extracting features
- image processing
- scene classification
- hyperspectral images
- high level
- feature extraction
- semantic web
- training set
- spatial information
- image regions
- denoising
- higher level
- segmentation algorithm