Efficient Video Coding Considering a Video as a 3D Data Cube

Manoranjan Paul, Weisi Lin

Research output: Book chapter/Published conference paperConference paper

4 Citations (Scopus)
4 Downloads (Pure)

Abstract

All existing video coding standards consider a video as a temporal (along T-axis) collection of two dimensional pictures (formed by XY axes) and compress them by exploiting spatial and temporal redundancy in the pictures. A recent optimal compression plane (OCP) determination technique shows that better compression can be achieved by relaxing the physical meaning of axes by exploring information redundancy in a fuller extent where a video is considered as a 3D data cube. Spatial and temporal dimensions are determined based on the statistical redundancy along each axis. Treating a video as a 3D data cube revolutionizes the traditional video features such as background, motion, object, zooming, panning, etc. In this paper we apply dynamic background modeling to the OCP plane to exploit the newly introduced background in the video for further improving the coding performance. The experimental results reveal that the proposed approach outperforms the existing state-of-the-art OCP technique as well as the H.264 video coding standard.
Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages170-174
Number of pages5
ISBN (Electronic)9781457720062
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Sheraton Noosa Resort & Spa, Noosa, Australia
Duration: 06 Dec 201108 Dec 2011
http://dicta2011.aprs.org.au

Conference

Conference2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CityNoosa
Period06/12/1108/12/11
OtherDICTA is the premiere conference of the Australian Pattern Recognition Society (APRS) focusing on Image Processing, Computer Vision, Pattern Recognition and related areas. It is a major outlet for published work in these fields and one of the main vehicles for engagement between the Australian research community and industry.
Internet address

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  • Cite this

    Paul, M., & Lin, W. (2011). Efficient Video Coding Considering a Video as a 3D Data Cube. In Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (pp. 170-174). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2011.35