Semantic segmentation of images exploiting DCT based features and random forest.
Daniele RavìM. BoberGiovanni Maria FarinellaMirko GuarneraSebastiano BattiatoPublished in: Pattern Recognit. (2016)
Keyphrases
- random forest
- feature set
- image features
- semantic segmentation
- test images
- image set
- input image
- decision trees
- keypoints
- multiple images
- image classification
- feature extraction
- object recognition
- data sets
- spatial information
- image matching
- image retrieval
- feature space
- feature selection
- small number
- bag of features
- color histogram
- ensemble methods
- image annotation
- classification accuracy
- multi label
- mean shift
- segmentation algorithm
- image representation
- target object
- bounding box
- graph cuts
- superpixels
- feature vectors
- weakly supervised