Cubic-panorama image dataset compression

Saeed Salehi; Eric Dubois

doi:10.1117/12.909138

15 February 2012 Cubic-panorama image dataset compression

Saeed Salehi, Eric Dubois

Proceedings Volume 8305, Visual Information Processing and Communication III; 83050O (2012) https://doi.org/10.1117/12.909138
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

Saeed Salehi and Eric Dubois "Cubic-panorama image dataset compression", Proc. SPIE 8305, Visual Information Processing and Communication III, 83050O (15 February 2012); https://doi.org/10.1117/12.909138

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