At present, the defacto platform for providing contents in the Internet is the World Wide Web. A technology, which is now emerging on the Web, is content-based retrieval (CBR). A content-based query matches examples or prototypes to known instances of a certain media type based on a measure of similarity. For efficiency, similarity measures are frequently computed on sets of discriminant features (so- called feature vectors) being extracted apriori from the stored media. Smith etal. [5, 6] developed a CBR system for the World Wide Web. Scarloff et al. [4] developed a content-based image query system including a gatherer collecting images from the Web. Beigi et al. [2] already applied the principle of meta-searching to a number of available image search engines.We propose an alternative architecture and model for commercial distributed indexation and searching of images (the essentials are outlined in Figure 1) that combines CBR, mobile agent technology [3], and digital watermarking (see for instance [1]).