ABSTRACT
This chapter summarizes several important research directions which potentially have big impacts on the development of applicable content-based multimedia search and management systems in the future. The incredible proliferation of multimedia documents leads to a strong and emergent demand on effective and efficient multimedia search and management tools for facilitating users’ consumption of the large amount of multimedia data. Multimedia search and management is a broad, multidisciplinary research topic, built on top of computer vision, natural language processing, information retrieval, and machine learning. With the explosion of video and image data available on the Internet, desktops, and mobile devices, multimedia search and management is becoming more and more important. Moreover, mining semantics and other useful information from large-scale multimedia data to facilitate online and local multimedia search, management, and other related applications has also gained more and more attention from both academia and industry.
