Abstract
This paper presents an advanced depth intra-coding approach for 3D video coding based on the High Efficiency Video Coding (HEVC) standard and the multiview video plus depth (MVD) representation. This paper is motivated by the fact that depth signals have specific characteristics that differ from those of natural signals, i.e., camera-view video. Our approach replaces conventional intra-picture coding for the depth component, targeting a consistent and efficient support of 3D video applications that utilize depth maps or polygon meshes or both, with a high depth coding efficiency in terms of minimal artifacts in rendered views and meshes with a minimal number of triangles for a given bit rate. For this purpose, we introduce intra-picture prediction modes based on geometric primitives along with a residual coding method in the spatial domain, substituting conventional intra-prediction modes and transform coding, respectively. The results show that our solution achieves the same quality of rendered or synthesized views with about the same bit rate as MVD coding with the 3D video extension of HEVC (3D-HEVC) for high-quality depth maps and with about 8% less overall bit rate as with 3D-HEVC without related depth tools. At the same time, the combination of 3D video with 3D computer graphics content is substantially simplified, as the geometry-based depth intra signals can be represented as a surface mesh with about 85% less triangles, generated directly in the decoding process as an alternative decoder output.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Huang Z (2015) A benchmark and comparative study of video-based face Recognition on COX face database. IEEE Trans Image Process 24(12)
Cao J (2016) Research on urban intelligent traffic monitoring system based on video image processing. Int J Signal Process, Image Process Pattern Recognit 9(6):393–406
Shan H, Hazanchuk NA et al (2005) Adaptive edge detection for real-time video processing using FPGAs. Altera Corporation
Jorge CAF et al (2013) Improved people detection in nuclear plants by video processing for safety purpose. In: International nuclear Atlantic conference—INAC, ISBN: 978-85-99141-05-2
Winken M et al Motion vector inheritance for high efficiency 3D video plus depth coding. In: Picture coding symposium, Kraków, Poland, 2012
Müller K et al (2013) 3D high-efficiency video coding for multi-view video and depth data. IEEE Trans Image Process 22(9)
Bal C et al (2014) Multiview video plus depth coding with depth-based prediction mode. IEEE Trans Circuits Syst Video Technol 24(6)
Merkle P, Müller K, Marpe D, Wiegand T (2016) Depth intra coding for 3D video based on geometric primitives. IEEE Trans Circuits Syst Video Technol 26(3)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Koli, S., Shamalik, R. (2020). Transformation of Video Signal Processing Techniques from 2D to 3D: A Survey. In: Kumar, A., Mozar, S. (eds) ICCCE 2019. Lecture Notes in Electrical Engineering, vol 570. Springer, Singapore. https://doi.org/10.1007/978-981-13-8715-9_8
Download citation
DOI: https://doi.org/10.1007/978-981-13-8715-9_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8714-2
Online ISBN: 978-981-13-8715-9
eBook Packages: EngineeringEngineering (R0)