Proceedings ArticleDOI
Frame loss error concealment for multiview video coding
Shujie Liu,Ying Chen,Ye-Kui Wang,Moncef Gabbouj,M.M. Hannuksela,Houqiang Li +5 more
- pp 3470-3473
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TLDR
Experimental results show that the proposed algorithm can improve video quality with a negligible computational complexity overhead compared to simple temporal error concealment algorithms.Abstract:
The multiview video coding (MVC) standard is currently under development by the Joint Video Team as an extension of the advanced video coding (H.264/AVC) standard. An MVC encoder compresses more than one viewpoint of a scene captured by different cameras. Redundancies between views can be used for inter-view prediction in encoding as well as error concealment in decoding. In this paper, a new algorithm utilizing motion information of pictures from other views to conceal a lost picture is proposed. The algorithm first derives motion information for a lost picture based on motion fields of pictures in adjacent views. Then, traditional motion compensation is invoked within the view containing the lost picture to derive a concealed frame. Experimental results show that the proposed algorithm can improve video quality with a negligible computational complexity overhead compared to simple temporal error concealment algorithms.read more
Citations
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Journal Article
The Error Concealment Feature in the H.26L Test Model
TL;DR: This paper presents EC feature implemented by the authors in the test model of the draft ITUT video coding standard H.26L, adopted and now included in the latest H. 26L reference software TML9.0.
Journal ArticleDOI
Frame loss concealment for stereoscopic video plus depth sequences
TL;DR: An efficient frame loss concealment algorithm for stereoscopic video plus depth sequences is proposed that is more effective than conventional algorithms in recovering erroneous color and depth frames and can be used for efficient virtual view synthesis in error prone environments.
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Temporal and Inter-View Consistent Error Concealment Technique for Multiview Plus Depth Video
TL;DR: A new consistency model for error concealment of MVD video that allows one to maintain a high level of consistency between frames of the same view and those of neighboring views and an algorithm that uses the model to implement concealment in a consistent way is proposed.
Proceedings ArticleDOI
Error concealment techniques for multi-view video
Brian Micallef,Carl J. Debono +1 more
TL;DR: It is demonstrated that better multiview video reconstruction is obtained when Intra-coded frames are spatially concealed while Inter- coded frames are concealed using motion compensation techniques, within the multi-view prediction structure.
Journal ArticleDOI
An Adaptive Error Concealment Method Based on Fuzzy Reasoning for Multi-View Video Coding
TL;DR: This study proposes an adaptive error concealment selection process in order to improve the quality of reconstructed images which have low computation complexity for multi-view video coding and is suitable for the multi- view video transmission on the consumer electronic fields.
References
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Error resilient video coding techniques
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Proceedings ArticleDOI
The error concealment feature in the H.26L test model
TL;DR: The specific concealment strategy and some special methods, including handling of B-pictures, multiple reference frames and entire frame losses, are described and both subjective and objective results are given based on simulations under Internet conditions.
Proceedings ArticleDOI
A survey of error-concealment schemes for real-time audio and video transmissions over the Internet
Benjamin W. Wah,Xiao Su,Dong Lin +2 more
TL;DR: This paper reviews error-concealment schemes developed for streaming real-time audio and video data over the Internet and classifies existing techniques into source coder-independent schemes that treat underlying source coders as black boxes, and sourcecoder-dependent schemes that exploit coding-specific characteristics to perform reconstruction.
Coding Approaches for End-To-End 3D TV Systems
TL;DR: This paper provides an overview of the 3D TV system, including an examination of design choices and tradeoffs, and discusses potential coding approaches for multiple view video, such as simulcasting, spatio-temporal encoding and sampling-based methods.