A new SVM-based relevance feedback image retrieval using probabilistic feature and weighted kernel function.
Xiangyang WangLinlin LiangWei-Yi LiDong-Ming LiHong-Ying YangPublished in: J. Vis. Commun. Image Represent. (2016)
Keyphrases
- relevance feedback
- kernel function
- image retrieval
- feature space
- support vector
- support vector machine
- svm classification
- feature set
- feature maps
- kernel methods
- input space
- multiple features
- image search
- feature vectors
- active learning
- low level features
- kernel parameters
- probabilistic model
- retrieval precision
- retrieved images
- positive definite
- high dimensional feature space
- support vector regression
- svm classifier
- information retrieval
- polynomial kernels
- high dimensional
- cbir systems
- kernel matrix
- gaussian kernels
- dot product
- support vectors
- image database
- image features
- kernel learning
- generative model
- multiple kernel learning
- visual features
- image representation
- kernel matrices
- kernel trick
- positive semidefinite
- image annotation
- kernel machines
- semidefinite programming
- image content
- multiscale
- feature extraction
- image processing
- feature selection