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Christian Bartnik

Researcher at Heinrich Hertz Institute

Publications -  18
Citations -  768

Christian Bartnik is an academic researcher from Heinrich Hertz Institute. The author has contributed to research in topics: Encoder & Context-adaptive binary arithmetic coding. The author has an hindex of 9, co-authored 17 publications receiving 643 citations. Previous affiliations of Christian Bartnik include Fraunhofer Society.

Papers
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Journal ArticleDOI

3D High-Efficiency Video Coding for Multi-View Video and Depth Data

TL;DR: This paper describes an extension of the high efficiency video coding (HEVC) standard for coding of multi-view video and depth data, and develops and integrated a novel encoder control that guarantees that high quality intermediate views can be generated based on the decoded data.
Proceedings ArticleDOI

3D video: Depth coding based on inter-component prediction of block partitions

TL;DR: A new approach for 3D video coding, where the video and the depth component of an MVD representation are jointly coded in an integrated framework, which enables a new type of prediction for exploiting the correlations of video and depth signals in addition to existing methods for temporal and inter-view prediction.
Proceedings ArticleDOI

3D video coding using advanced prediction, depth modeling, and encoder control methods

TL;DR: The presented approach for 3D video coding uses the multiview video plus depth format, in which a small number of video views as well as associated depth maps are coded and the representation of depth blocks, and the encoder control for depth signals have been integrated.
Proceedings ArticleDOI

Vvenc: An Open And Optimized Vvc Encoder Implementation

TL;DR: The Fraunhofer Versatile Video Encoder VVenC is the first openly available optimized implementation providing access to VVC’s efficiency at only 46% of the runtime of the VVC test model VTM, when not using multi-threading.
Patent

Probability interval partioning encoder and decoder

TL;DR: In this article, an encoder for encoding a sequence of symbols is described, which comprises an assigner configured to assign a number of parameters to each symbol of the sequence, based on information contained within previous symbols.