Indexing Large Video Databases to Support Efficient Query Processing (2015–2017)
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.