21 February 2013 Cubic-panorama image dataset analysis for storage and transmission
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Abstract
In this paper we address the problem of disparity estimation required for free navigation in acquired cubicpanorama image datasets. A client server based scheme is assumed and a remote user is assumed to seek information at each navigation step. The initial compression of such image datasets for storage as well as the transmission of the required data is addressed in this work. Regarding the compression of such data for storage, a fast method that uses properties of the epipolar geometry together with the cubic format of panoramas is used to estimate disparity vectors efficiently. Assuming the use of B pictures, the concept of forward and backward prediction is addressed. Regarding the transmission stage, a new disparity vector transcoding-like scheme is introduced and a frame conversion scenario is addressed. Details on how to pick the best vector among candidate disparity vectors is explained. In all the above mentioned cases, results are compared both visually through error images as well as using the objective measure of Peak Signal to Noise Ratio (PSNR) versus time.
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Saeed Salehi, Saeed Salehi, Eric Dubois, Eric Dubois, } "Cubic-panorama image dataset analysis for storage and transmission", Proc. SPIE 8666, Visual Information Processing and Communication IV, 86660H (21 February 2013); doi: 10.1117/12.2004844; https://doi.org/10.1117/12.2004844
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