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
โฆ LIBER โฆ
Performance evaluation and optimization for content-based image retrieval
โ Scribed by Julia Vogel; Bernt Schiele
- Book ID
- 108234341
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 528 KB
- Volume
- 39
- Category
- Article
- ISSN
- 0031-3203
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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
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