Clustering of hierarchical image database to reduce inter-and intra-semantic gaps in visual space for finding specific image semantics.
Shreelekha PandeyPritee KhannaHaruo YokotaPublished in: J. Vis. Commun. Image Represent. (2016)
Keyphrases
- image database
- image content
- low level visual features
- image retrieval
- image data
- high level semantics
- hierarchical segmentation
- semantic space
- content based image
- low level image features
- object retrieval
- image similarity
- high level
- visual concepts
- semantic information
- visual features
- image collections
- content based retrieval
- color histogram
- low level features
- image indexing
- low level
- input image
- semantic gap
- image representation
- unsupervised learning
- image quality assessment
- automatic image annotation
- relevant images
- retrieving images
- region based image retrieval
- web images
- coarse to fine
- image annotation
- multiscale
- relevance feedback
- image features
- semantically meaningful
- image search
- image classification
- semantic context
- similarity measure
- visual perception
- visual context
- retrieval scheme
- video data
- image regions
- visual information
- semantic relationships