CNN-based features for retrieval and classification of food images.
Gianluigi CioccaPaolo NapoletanoRaimondo SchettiniPublished in: Comput. Vis. Image Underst. (2018)
Keyphrases
- image database
- image features
- image classification
- extracting features
- correct classification rate
- feature extraction
- extracted features
- image retrieval
- feature vectors
- image description
- feature set
- original images
- classification accuracy
- individual features
- image similarity
- test images
- cbir systems
- discriminative features
- feature space
- feature representation
- multiple classifiers
- classification method
- visual appearance
- image data
- visual object recognition
- relevant images
- content based retrieval
- low level visual features
- textural features
- spatial information
- svm classifier
- image analysis
- input image
- object recognition
- feature selection
- classification models
- gabor filters
- skin lesion
- retrieval precision
- texture features
- convolutional neural network
- handwritten digits
- visual similarity
- discriminative classifiers
- fisher linear discriminant
- gray level co occurrence matrix
- decision trees
- keypoints
- similarity measure
- training set
- image registration
- relevance feedback
- text classification
- color features
- image matching
- image content
- image set
- image collections
- color histogram
- image representation
- feature points
- image annotation
- support vector machine
- cellular neural networks