Spatiotemporal selective extrapolation for 3-D signals and its applications in video communications

Journal article
(Original article)


Publication Details

Author(s): Meisinger K, Kaup A
Journal: IEEE Transactions on Image Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication year: 2007
Volume: 16
Journal issue: 9
Pages range: 2348-2360
ISSN: 1057-7149


Abstract


In this paper, we derive a spatiotemporal extrapolation method for 3-D discrete signals. Extending a discrete signal beyond a limited number of known samples is commonly referred to as discrete signal extrapolation. Extrapolation problems arise in many applications in video communications. Transmission errors in video communications may cause data losses which are concealed by extrapolating the surrounding video signal into the missing area. The same principle is applied for TV logo removal. Prediction in hybrid video coding is also interpreted as an extrapolation problem. Conventionally, the unknown areas in the video sequence are estimated from either the spatial or temporal surrounding. Our approach considers the spatiotemporal signal including the missing area in a volume and replaces the unknown samples by extrapolating the surrounding signal from spatial, as well as temporal direction. By exploiting spatial and temporal correlations at the same time, it is possible to inherently compensate motion. Deviations in luminance occurring from frame to frame can be compensated, too. © 2007 IEEE.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Meisinger, K., & Kaup, A. (2007). Spatiotemporal selective extrapolation for 3-D signals and its applications in video communications. IEEE Transactions on Image Processing, 16(9), 2348-2360. https://dx.doi.org/10.1109/TIP.2007.903261

MLA:
Meisinger, Katrin, and Andre Kaup. "Spatiotemporal selective extrapolation for 3-D signals and its applications in video communications." IEEE Transactions on Image Processing 16.9 (2007): 2348-2360.

BibTeX: 

Last updated on 2018-19-04 at 03:36