On-line collections of images are growing larger and more common, and tools are needed to efficiently manage, organize, and navigate through them. We have developed the QBIC system which lets you make queries of large image databases based on visual image content - properties such as color percentages, color layout, and textures occurring in the images. Such queries use the visual properties of images, so you can match colors, textures and their positions without describing them in words. Content based queries are often combined with text and keyword predicates to get powerful retrieval methods for image and multimedia databases.