Improving the prediction efficiency for multi-view video coding using histogram matching

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Fecker U, Barkowsky M, Kaup A
Publication year: 2006
Volume: 2006
ISBN: 9783000187261
Language: English


Abstract


Applications for video data recorded with a setup of several cameras are currently attracting increasing interest. For such multi-view sequences, efficient coding is crucial to handle the enormous amount of data. However, significant luminance and chrominance variations between the different views, which often originate from imperfect camera calibration, are able to reduce the coding efficiency and the rendering quality. In this paper, we suggest the usage of histogram matching to compensate these differences in a pre-filtering step. After a description of the proposed algorithm, it is explained how histogram matching can be applied to multi-view video data. The effect of histogram matching on the coding performance is evaluated by statistically analysing prediction from temporal as well as from spatial references. For several test sequences, results are shown which indicate that the amount of spatial prediction across different camera views can be increased by applying histogram matching.


FAU Authors / FAU Editors

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


How to cite

APA:
Fecker, U., Barkowsky, M., & Kaup, A. (2006). Improving the prediction efficiency for multi-view video coding using histogram matching. In Proceedings of the 25th PCS: Picture Coding Symposium 2006, PCS2006. Beijing, CN.

MLA:
Fecker, Ulrich, Marcus Barkowsky, and André Kaup. "Improving the prediction efficiency for multi-view video coding using histogram matching." Proceedings of the 25th PCS: Picture Coding Symposium 2006, PCS2006, Beijing 2006.

BibTeX: 

Last updated on 2019-31-05 at 17:38