Salient Points for Content-Based Retrieval

In image retrieval, global features related to color or texture are commonly used to describe the image content. The use of interest points in contentbased image retrieval allows an image index to represent local properties of images. In this paper, we present a wavelet-based salient point extraction algorithm and we show that extracting the color and texture information in the locations given by these points provides significantly improved results in terms of retrieval accuracy, computational complexity, and storage space of feature vectors as compared to the global feature approaches.

• Type: Conference
• Year: 2001
• Where: BMVC
• Authors: Nicu Sebe, Michael S. Lew
• Keywords: BMVC 2001, Computer Vision, Contentbased Image Retrieval, Global Feature, Image Retrieval