Indexing Large Video Databases to Support Efficient Query Processing

Project Member(s): Yang, Y.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2015

Summary: 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.

Publications:

Du, X, Yin, H, Huang, Z, Yang, Y & Zhou, X 2018, 'Exploiting detected visual objects for frame-level video filtering', World Wide Web, vol. 21, no. 5, pp. 1259-1284.
View/Download from: Publisher's site

Keywords: Video, multimedia, database

FOR Codes: Database Management, Pattern Recognition and Data Mining, Multimedia Programming, Information Processing Services (incl. Data Entry and Capture), Application Tools and System Utilities, Electronic Information Storage and Retrieval Services, Computer vision and multimedia computation not elsewhere classified, Query processing and optimisation, Database systems, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.