Image Retrieval with Relevance Feedback based on Genetic Programming
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Summary
A new content-based image retrieval framework with relevance feedback is presented that employs Genetic Programming to discover a combination of descriptors that better characterizes the user perception of image similarity.
- Type
- article
- Published
- 2008-10-13
- Cited by
- 15
- References
- 50
- OpenAlex
- https://openalex.org/W41649822
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14995908
Keywords
Relevance feedback, Computer science, Relevance (law), Image retrieval, Genetic programming
References
- Constrained Aggregate Similarity Queries in Metric Spaces
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- Computer Vision Techniques for Content-Based Image Retrieval from Large Medical Databases
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- Learning to advertise
- Stochastic exploration and active learning for image retrieval
- Shape Similarity Measure Based on Correspondence of Visual Parts
- Combining structural and citation-based evidence for text classification
- Evaluation of relevance feedback schemes in content-based in retrieval systems
- Shape Discrimination Using Fourier Descriptors
- Object detection in multi-modal images using genetic programming
- BAS: a perceptual shape descriptor based on the beam angle statistics
- A compact and efficient image retrieval approach based on border/interior pixel classification
- A survey of content-based image retrieval with high-level semantics
- Adaptive relevance feedback based on Bayesian inference for image retrieval
Cited by
- Using relevance feedback for classifying remote sensing images
- Adaptable transformation-based similarity search in multimedia databases
- Reconhecimento semi-automatico e vetorização de regiões em imagens de sensoriamento remoto
- A genetic programming framework for content-based image retrieval
- Learning to rank for content-based image retrieval
- Exploring multimedia databases via optimization-based relevance feedback and the earth mover's distance
- SOFT COMPUTING BASED MEDICAL IMAGE RETRIEVAL USING SHAPE AND TEXTURE FEATURES
- Unsupervised scaling of multi-descriptor similarity functions for medical image datasets
- Improving medical image retrieval through multi-descriptor similarity functions and association rules
- A relevance feedback method based on genetic programming for classification of remote sensing images
- Relevance feedback based on genetic programming for image retrieval
- Estudo comparativo de descritores para recuperação de imagens por conteudo na web
- A Medical Images Based Retrieval System using Soft Computing Techniques
- Image search system with feedback
- Relevance Feedback for the Earth Mover's Distance
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