๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Performance evaluation and optimization for content-based image retrieval

โœ 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

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Edge based features for content based im
โœ Minakshi Banerjee; Malay K. Kundu ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 854 KB

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

Series feature aggregation for content-b
โœ Jun Zhang; Lei Ye ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 718 KB

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