Histograms analysis for image retrieval

✍ Scribed by R. Brunelli; O. Mich

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 376 KB
• Volume: 34
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(00)00054-6

✦ Synopsis

This paper analyzes the use of histograms of low-level image features, such as color and luminance, as descriptors for image-retrieval purposes. A novel de"nition of histogram capacity curve taking into account the density distribution of histograms in the corresponding spaces is proposed and used to quantify the e!ectiveness of image descriptors and histogram dissimilarities in image retrieval applications. The results permit the design of scalable image-retrieval systems which make optimal use of computational and storage resources.