Retrieval by Color Features in Image Databases

Retrieval by Color Features in Image Databases

What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images. We suggest extending the use of image histograms to characterize the global and local color properties of an image and to preserve its intrinsic geometric information. We have introduced an algorithm for image organi...

Color Features Performance Comparison for Image Retrieval

This paper proposes a comparison of color features for image retrieval. In particular the UCID image database has been employed to compare the retrieval capabilities of different color descriptors. The set of descriptors comprises global and spatially related features, and the tests show that HSV based global features provide the best performance at varying brightness and contrast settings.

Comparison of Color Features for Image Retrieval

Content based image retrieval (CBIR) systems are used for automatic indexing, searching, retrieving and browsing of image databases. Color is one of the important features used in CBIR systems. An experimental comparison of a number of different color descriptors for content-based image retrieval is presented in this paper. Color histograms, color moments and color coherent vector (CCV) are con...

Color in Image Databases

Retrieval by Content in Symbolic-Image Databases

Two approaches for integrating images into the framework of a database management system are presented. The classi cation approach preprocesses all images and attaches a semantic classi cation and an associated certainty factor to each object found in the image. The abstraction approach describes each object in the image by using a vector consisting of the values of some of its features (e.g., ...