Content-Based Image Retrieval at the End of the Early Years
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Summary
The working conditions of content-based retrieval: patterns of use, types of pictures, the role of semantics, and the sensory gap are discussed, as well as aspects of system engineering: databases, system architecture, and evaluation.
- Type
- article
- Published
- 2000-12-01
- Cited by
- 2,435
- References
- 226
- OpenAlex
- https://openalex.org/W2130660124
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:262234827
Keywords
Computer science, Image retrieval, Information retrieval, Semantic gap, Salient
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- Query Categories in a Study of Intellectual Access to Digitized Art Images.
- Multiscale texture segmentation using wavelet-domain hidden Markov models
- Human face image retrieval system for large database
- Image retrieval evaluation
- Invariance in content-based retrieval
- From features to semantics: some preliminary results
- Browsing images based on social and content similarity
- On retrieving textured images from an image database
- Similarity of color images
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- Image Processing and Image Mining using Decision Trees
- Measuring the semantic relatedness between words and images
- Internet Multimedia Search and Mining
- Applying Distance Histogram to retrieve 3D cardiac medical models
- Medical Multimedia Retrieval 2.0
- Study and application of acoustic information for the detection of harmful content and fusion with visual information
- Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval
- Automatic structuring and augmentation of a lifelog of images
- Semantic Smoothing of Document Models for Agglomerative Clustering
- Video event detection framework on large-scale video data
- Group-Theoretical Structure in Multispectral Color and Image Databases
- Data-driven or background knowledge ontology development
- Contributions to the analysis and segmentation of remote sensing hyperspectral images
- Integrating Semantic and Visual Facets for Browsing Digital Photo Collections
- Learning Taxonomies in Large Image Databases
- Discriminative learning with application to interactive facial image retrieval
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