1. Viewer centric data retrieval:
Virtual reality videos and games require novel data retrieval technique, which is called What-You-Retrieve-Is-What-You-See. The aim of this project is to support retrieving spatial objects that are both visually conspicuous and semantically relevant to the users.
Selected Publications
- Finding the optimal location and keywords in obstructed and unobstructed space, Farhana Murtaza Choudhury, J. Shane Culpepper, Zhifeng Bao, and Timos Sellis, in Very Large Data Bases Journal (VLDBJ), vol. 27(4), pp. 445-470, 2018. ERA Rank - A*.
- VizQ: A System for Scalable Processing of Visibility Queries in 3D Spatial Databases (Demo track), Arif Arman, Kaysar Abdullah, Mohammed Eunus Ali, and Farhana Murtaza Choudhury, In Proc of CIKM, pp. 2447-2450, 2017. CORE Rank - A.
- Scalable Visibility Color Map Construction in Spatial Databases, Farhana Murtaza Choudhury, Mohammed Eunus Ali, Sarah Masud, Suman Nath, and Ishat E. Rabban, In the Journal of Information Systems, vol. 42: 89-106, 2014. CORE Rank - A*.
- Maximum Visibility Queries in Spatial Databases, Sarah Masud, Farhana Murtaza Choudhury, Mohammed Eunus Ali, and Sarana Nutanong, In Proc. of IEEE International Conference on Data Engineering (ICDE), pp. 637-648, 2013. CORE Rank - A*.
- Continuous Maximum Visibility Query for a Moving Target, Ch. Md. Rakin Haider, Arif Arman, Mohammed Eunus Ali, and Farhana M. Choudhury, in Proc. of Australasian Database Conference (ADC), pp. 82-94, 2016. (Winner of the best student poster award).
- Top-k trajectories with the best view, NI Tripto, M Nahar, ME Ali, FM Choudhury, JS Culpepper, T Sellis, in GeoInformatica Journal, pp. 1-41, 2019.