Skip to main content

DP150103008 - UQ Led - Indexing Large Video Databases to Support Efficient Query Processing

Funding: 2015: $220,000
2016: $134,300
2017: $140,000

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, pp. 1-26.
View/Download from: UTS OPUS or Publisher's site

Gan, C, Yang, Y, Zhu, L, Zhao, D & Zhuang, Y 2016, 'Recognizing an Action Using Its Name: A Knowledge-Based Approach', International Journal of Computer Vision, vol. 120, no. 1, pp. 61-77.
View/Download from: UTS OPUS or Publisher's site

Chang, X, Yu, YL, Yang, Y & Xing, EP 2016, 'They are not equally reliable: Semantic event search using differentiated concept classifiers', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, United States, pp. 1884-1893.
View/Download from: UTS OPUS or Publisher's site

Du, X, Yin, H, Huang, Z, Yang, Y & Zhou, X 2016, 'Using detected visual objects to index video database', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer, Sydney, New South Wales, Australia, pp. 333-345.
View/Download from: UTS OPUS or Publisher's site

Pan, P, Xu, Z, Yang, Y, Wu, F & Zhuang, Y 2016, 'Hierarchical recurrent neural encoder for video representation with application to captioning', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Seattle, WA, USA, pp. 1029-1038.
View/Download from: UTS OPUS or Publisher's site

Keywords: multimedia database, database indexing, query processing

FOR Codes: Database Management, Pattern Recognition and Data Mining, Multimedia Programming, Electronic Information Storage and Retrieval Services, Information Processing Services (incl. Data Entry and Capture), Application Tools and System Utilities