Content-based image retrieval by combining convolutional neural networks and sparse representation.
Amir SezavarHassan FarsiSajad MohamadzadehPublished in: Multim. Tools Appl. (2019)
Keyphrases
- sparse representation
- image retrieval
- convolutional neural networks
- image representation
- dictionary learning
- sparse coding
- relevance feedback
- compressive sensing
- face recognition
- image content
- image classification
- high dimensional data
- image patches
- visual features
- joint optimization
- visual words
- reconstruction error
- compressed sensing
- sparse reconstruction
- signal processing
- dimensionality reduction
- negative matrix factorization
- convolutional network
- regularized least squares
- image matching
- image annotation
- bag of words
- piecewise smooth
- sparse approximations
- test images
- random projections
- feature space
- sparse learning
- sparse codes
- high resolution
- decision trees
- feature selection
- machine learning