Dimensionality reduction of visual features using sparse projectors for content-based image retrieval.
Romain NegrelDavid PicardPhilippe Henri GosselinPublished in: ICIP (2014)
Keyphrases
- visual features
- image retrieval
- dimensionality reduction
- low level visual features
- web images
- high dimensional
- visual content
- image classification
- semantic content
- visual information
- image search
- low level features
- low level
- low level image features
- image similarity
- sparse representation
- image annotation
- image collections
- keywords
- cbir systems
- relevance feedback
- visual appearance
- low dimensional
- semantic gap
- image database
- bag of visual words
- visual similarity
- semantic concepts
- feature space
- visual words
- probabilistic latent semantic analysis
- principal component analysis
- image content
- bag of features
- multimedia content
- global features
- visual patterns
- visual descriptors
- data points
- image data
- high dimensional data
- metadata
- machine learning