Many multimedia collections include only metadata such as date created and file size and remain largely unannotated. So, browsing them is cumbersome. Automatic content-analysis techniques yield metadata in the form of high-level content-based descriptors. However, these techniques' accuracy is insufficient to automate collection categorization. A human is essential to validate and organize automated techniques' results. MediaTable helps users efficiently categorize an image or video collection. A tabular interface gives an overview of multimedia items and associated metadata, and a bucket list lets users quickly categorize materials. MediaTable uses familiar interface techniques for sorting, filtering, selection, and visualization. Evaluations with expert and nonexpert users indicate that MediaTable supports efficient categorization and provides valuable insight into the collection. Keywords: computer graphics , graphics and multimedia , image and video search systems , interactive multimedia retrieval , multimedia collection categorization , table-based browsing.