We presented a new image database system which provides for color/spatial querying. Since, the discrimination of images is only partly provided by global features such as color histograms, the VisualSEEk system instead utilizes salient image regions and their colors, sizes, spatial locations, and relationships, in order to compare images. The integration of content-based and spatial querying provides for a highly functional query system which allows for wide variety of color/spatial queries. We presented the strategies utilized by the VisualSEEk system for computing these complex queries and presented some preliminary results that indicate the system's efficiency and power. We will next extend the VisualSEEk system to extract and index regions of texture, and color and texture jointly [14]. We will also investigate and include methods for shape comparison in order to further enhance the image region query system.