Translator Disclaimer
21 February 2013 Cubic-panorama image dataset analysis for storage and transmission
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Saeed Salehi and Eric Dubois "Cubic-panorama image dataset analysis for storage and transmission", Proc. SPIE 8666, Visual Information Processing and Communication IV, 86660H (21 February 2013);


Image Compression Based On Hierarchical Encoding
Proceedings of SPIE (April 30 1986)
Adaptive, Hybrid, And Multi-Threshold CAQ Algorithms
Proceedings of SPIE (December 12 1976)
Image Data Compression In A Personal Computer Environment
Proceedings of SPIE (December 15 1988)
Depth-controlled 3D TV image coding
Proceedings of SPIE (April 29 1998)

Back to Top