Content-based retrieval from image databases using sketched queries
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Summary
Novel feature extraction approaches for content-based image retrieval when the query image is a hand-drawn black and white sketch are presented and new affine transform invariant feature extraction techniques are proposed to improve retrieval performance, and reduce the extraction and search times.
- Type
- article
- Published
- 2005-01-01
- Cited by
- 7
- References
- 223
- Access
- Open access
- OpenAlex
- https://openalex.org/W1494863310
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:33823879
Keywords
Computer science, Image retrieval, Content-based image retrieval, Database, Sketch
References
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- Computer and Robot Vision
- Content-based image retrieval using fuzzy multiple attribute relational graph
- The Handbook of Multimedia Information Management
- A video retrieval system based on compressed data from MPEG files
- A neural network-based image retrieval using nonlinear combination of heterogeneous features
- Content-based image retrieval with relevance feedback in MARS
- A multi-resolution technique for comparing images using the Hausdorff distance
- Fuzzy color histogram: an efficient color feature for image indexing and retrieval
- Similarity measures for image matching architectures-a review with classification
- Image classification and retrieval based on wavelet-SOM
- Fuzzy image retrieval system
- A hierarchical algorithm for image retrieval by sketch
Cited by
- 3D Model retrieval based on skeleton
- Multi-image query content-based image retrieval
- Automatic annotation of digital photos
- Technical Section: An evaluation of descriptors for large-scale image retrieval from sketched feature lines
- Retina identification based on the pattern of blood vessels using fuzzy logic
- 3D facial expression recognition using SIFT descriptors of automatically detected keypoints
- Automatic Annotation o f Digital Photos
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