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, vol. 21, no. 5, pp. 1259-1284.
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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.
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Chang, X, Yu, Y-L, Yang, Y & Xing, EP 1970, 'They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, United States, pp. 1884-1893.
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Du, X, Yin, H, Huang, Z, Yang, Y & Zhou, X 1970, '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 International Publishing, Sydney, New South Wales, Australia, pp. 333-345.
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Pan, P, Xu, Z, Yang, Y, Wu, F & Zhuang, Y 1970, '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.
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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, Computer vision and multimedia computation not elsewhere classified, Database systems, Query processing and optimisation, 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.