Machine learning of event segmentation for news on demand

Abstract

There are many different types of multimedia videos found in the world today-consider home videos, surveillance camera videos, television broadcasts as general categories. Commercial users, government personnel, and home consumers all have specific requirements to search these videos for topics and/or events. In order to support user query for these elements of interest, multimedia systems must segment and retrieve relevant segments of information. With advances in video digitization, annotation and extraction, automated multimedia processing systems are being created for many of the various video types. In these systems, event segmentation occurs manually, semiautomatically, or automatically.