Content-adaptive temporal consistency enhancement for depth video

The video plus depth format, which is composed of the texture video and the depth video, has been widely used for free viewpoint TV. However, the temporal inconsistency is often encountered in the depth video due to the error incurred in the estimation of the depth values. This will inevitably deter...

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Main Authors: Ma, Kai-Kuang, Zeng, Huanqiang.
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/84779
http://hdl.handle.net/10220/12910
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author Ma, Kai-Kuang
Zeng, Huanqiang.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Ma, Kai-Kuang
Zeng, Huanqiang.
author_sort Ma, Kai-Kuang
collection NTU
description The video plus depth format, which is composed of the texture video and the depth video, has been widely used for free viewpoint TV. However, the temporal inconsistency is often encountered in the depth video due to the error incurred in the estimation of the depth values. This will inevitably deteriorate the coding efficiency of depth video and the visual quality of synthesized view. To address this problem, a content-adaptive temporal consistency enhancement (CTCE) algorithm for the depth video is proposed in this paper, which consists of two sequential stages: (1) classification of stationary and non-stationary regions based on the texture video, and (2) adaptive temporal consistency filtering on the depth video. The result of the first stage is used to steer the second stage so that the filtering process will be conducted in an adaptive manner. Extensive experimental results have shown that the proposed CTCE algorithm can effectively mitigate the temporal inconsistency in the original depth video and consequently improve the coding efficiency of depth video and the visual quality of synthesized view.
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spelling ntu-10356/847792020-03-07T13:24:45Z Content-adaptive temporal consistency enhancement for depth video Ma, Kai-Kuang Zeng, Huanqiang. School of Electrical and Electronic Engineering IEEE International Conference on Image Processing (19th : 2012 : Orlando, Florida, US) The video plus depth format, which is composed of the texture video and the depth video, has been widely used for free viewpoint TV. However, the temporal inconsistency is often encountered in the depth video due to the error incurred in the estimation of the depth values. This will inevitably deteriorate the coding efficiency of depth video and the visual quality of synthesized view. To address this problem, a content-adaptive temporal consistency enhancement (CTCE) algorithm for the depth video is proposed in this paper, which consists of two sequential stages: (1) classification of stationary and non-stationary regions based on the texture video, and (2) adaptive temporal consistency filtering on the depth video. The result of the first stage is used to steer the second stage so that the filtering process will be conducted in an adaptive manner. Extensive experimental results have shown that the proposed CTCE algorithm can effectively mitigate the temporal inconsistency in the original depth video and consequently improve the coding efficiency of depth video and the visual quality of synthesized view. 2013-08-02T06:19:40Z 2019-12-06T15:51:02Z 2013-08-02T06:19:40Z 2019-12-06T15:51:02Z 2012 2012 Conference Paper https://hdl.handle.net/10356/84779 http://hdl.handle.net/10220/12910 10.1109/ICIP.2012.6467535 en
spellingShingle Ma, Kai-Kuang
Zeng, Huanqiang.
Content-adaptive temporal consistency enhancement for depth video
title Content-adaptive temporal consistency enhancement for depth video
title_full Content-adaptive temporal consistency enhancement for depth video
title_fullStr Content-adaptive temporal consistency enhancement for depth video
title_full_unstemmed Content-adaptive temporal consistency enhancement for depth video
title_short Content-adaptive temporal consistency enhancement for depth video
title_sort content adaptive temporal consistency enhancement for depth video
url https://hdl.handle.net/10356/84779
http://hdl.handle.net/10220/12910
work_keys_str_mv AT makaikuang contentadaptivetemporalconsistencyenhancementfordepthvideo
AT zenghuanqiang contentadaptivetemporalconsistencyenhancementfordepthvideo