𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Integrating color and spatial feature for content-based image retrieval

✍ Scribed by Cao Kui; Feng Yu-cai


Publisher
Wuhan University
Year
2002
Tongue
English
Weight
897 KB
Volume
7
Category
Article
ISSN
1007-1202

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Series feature aggregation for content-b
✍ Jun Zhang; Lei Ye πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 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

Probabilistic Feature Relevance Learning
✍ Jing Peng; Bir Bhanu; Shan Qing πŸ“‚ Article πŸ“… 1999 πŸ› Elsevier Science 🌐 English βš– 695 KB

Most of the current image retrieval systems use "one-shot" queries to a database to retrieve similar images. Typically a Knearest neighbor kind of algorithm is used, where weights measuring feature importance along each input dimension remain fixed (or manually tweaked by the user), in the computati

Edge based features for content based im
✍ Minakshi Banerjee; Malay K. Kundu πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 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