15 February 2012 Cubic-panorama image dataset compression
Author Affiliations +
Abstract
In this paper we address the problem of cubic panorama image dataset compression. Two state-of-the-art approaches, namely: H.264/MPEG4 AVC and Dirac video codec, are used and compared for the application of virtual navigation in image based representations of real world environments. Different prediction structures and Group Of Pictures (GOP) sizes are investigated and compared on this new type of visual data. Based on the obtained results, as well as the requirements of the system, an efficient prediction structure and bitstream syntax are proposed. The concept of Epipolar geometry is introduced and a method to facilitate efficient disparity estimation is suggested.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saeed Salehi, Saeed Salehi, Eric Dubois, Eric Dubois, } "Cubic-panorama image dataset compression", Proc. SPIE 8305, Visual Information Processing and Communication III, 83050O (15 February 2012); doi: 10.1117/12.909138; https://doi.org/10.1117/12.909138
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

Fractal-like video coding with weighted summation
Proceedings of SPIE (February 26 1996)
Curvature analysis approach to shape coding using B-splines
Proceedings of SPIE (December 28 2000)
Towards a multimedia remote viewer for mobile thin clients
Proceedings of SPIE (February 08 2011)
Data compression for structured video using support layer
Proceedings of SPIE (February 26 1996)
Image Sequence Coding by Octrees
Proceedings of SPIE (October 31 1989)

Back to Top