Research output per year
Research output per year
Project Details
Project Description
Despite user demand, broadcasting of events from multiple viewing angles and depths has not been popular due to limited interactivity and severe bandwidth and computational constraints. This project investigates a novel theoretical framework for multiview coding using volumetric data compression. This new coding framework will be used to develop a new multiview video coding technique that addresses limitations of the current state-of-the-art. Our technique differs in joint-exploitation of image correlation in temporal and view domains, low frame dependency, and explicit handling of occlusion. The results will benefit commercial television networks, telemedicine, distance education, video surveillance, and other video analytics applications.
| Status | Finished |
|---|---|
| Effective start/end date | 3/01/13 → 31/12/15 |
Funding
- Australian Research Council (ARC): A$315,000.00
- Monash University
Research output
- 2 Conference Paper
-
A novel depth motion vector coding exploiting spatial and inter-component clustering tendency
Shahriyar, S., Murshed, M., Ali, M. & Paul, M., 2015, 2015 Visual Communications and Image Processing (VCIP 2015): Singapore, 13 - 16 December 2015 [Proceedings]. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-4 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Citations (Scopus) -
Efficient coding of depth map by exploiting temporal correlation
Shahriyar, S., Murshed, M., Ali, M. & Paul, M., 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA): Wollongong, New South Wales, Australia. Bouzerdoum, A., Wang, L., Ogunbona, P., Li, W. & Phung, S. L. (eds.). Danvers, MA: IEEE, Institute of Electrical and Electronics Engineers, 8 p. 7008105Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
6 Citations (Scopus)