Indexing Large Video Databases to Support Efficient Query Processing

Abstract:: This project aims at developing breakthrough database technology that leverages the advances in video data capturing, computer vision based object recognition, multimedia tagging, large scale database systems and parallel processing, to provide the capability of managing massive video data with enriched semantic information and enabling database-like flexible and efficient video information search. It will establish a new data management and processing foundation for big video data analytics.
Grant type:: ARC Discovery Projects
Funded by:: Australian Research Council