Litcius/Paper detail

Immersive Video Postprocessing for Efficient Video Coding

Adrian Dziembowski, Dawid Mieloch, Jun Young Jeong, Gwangsoon Lee

2023IEEE Transactions on Circuits and Systems for Video Technology11 citationsDOI

Abstract

This paper describes two methods for increasing the efficiency of the MPEG Immersive Video (MIV) coding standard. The methods manipulate the MIV-formatted atlas videos by considering the coding principles of the widely used video encoders, enhancing the encoding efficiency for the immersive video content. The first method, patch average color modification removes the constant component of all YCbCr components of each patch within atlases, resulting in the reduction of the number and magnitude of edges within a texture atlas video. The second proposed method changes the dynamic range of the geometry (depth) atlas, adapting to the quality of input depth maps. Both methods proposed by the authors of this paper were included into the Test Model for MPEG Immersive Video (TMIV), which is the reference implementation of the MIV codec. Moreover, the metadata syntax relating to the first proposed method was adopted to the ISO/IEC 23090–12 standard.

Topics & Concepts

Computer scienceMultiview Video CodingCodecEncoderArtificial intelligenceComputer visionSmacker videoCoding (social sciences)Video qualityMetadataVideo trackingVideo processingUncompressed videoScalable Video CodingComputer graphics (images)Motion compensationComputer hardwareMathematicsOperating systemStatisticsOperations managementMetric (unit)EconomicsVideo Coding and Compression TechnologiesAdvanced Vision and ImagingComputer Graphics and Visualization Techniques