The common problem in content based image retrieval (CBIR) is selection of features. Image characterization with lesser number of features involving lower computational cost is always desirable. Edge is a strong feature for characterizing an image. This paper presents a robust technique for extracti
A multi-agent platform for content-based image retrieval
โ Scribed by Socrates Dimitriadis; Kostas Marias; Stelios C. Orphanoudakis
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Weight
- 362 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0942-4962
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
There is a growing need for the ability to query image databases based on similarity of image content rather than strict keyword search. As distance computations can be expensive, there is a need for indexing systems and algorithms that can eliminate candidate images without performing distance calc
Feature aggregation is a critical technique in content-based image retrieval (CBIR) systems that employs multiple visual features to characterize image content. Most previous feature aggregation schemes apply parallel topology, e.g., the linear combination scheme, which suffer from two problems. Fir