Share Email Print

Proceedings Paper

Cubic-panorama image dataset compression
Author(s): Saeed Salehi; Eric Dubois
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 15 February 2012
PDF: 10 pages
Proc. SPIE 8305, Visual Information Processing and Communication III, 83050O (15 February 2012); doi: 10.1117/12.909138
Show Author Affiliations
Saeed Salehi, Univ. of Ottawa (Canada)
Eric Dubois, Univ. of Ottawa (Canada)

Published in SPIE Proceedings Vol. 8305:
Visual Information Processing and Communication III
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top