A novel video coding scheme using a scene adaptive non-parametric background model

Poster


Chakraborty, Subrata, Paul, Manoranjan, Murshed, Manzur and Ali, Mortuza. 2014. "A novel video coding scheme using a scene adaptive non-parametric background model." 16th IEEE International Workshop on Multimedia Signal Processing (MMSP 2014). Jakarta, Indonesia 22 - 24 Sep 2014 Piscataway, NJ. United States. https://doi.org/10.1109/MMSP.2014.6958823
Paper/Presentation Title

A novel video coding scheme using a scene adaptive non-parametric background model

Presentation TypePoster
AuthorsChakraborty, Subrata (Author), Paul, Manoranjan (Author), Murshed, Manzur (Author) and Ali, Mortuza (Author)
Journal or Proceedings TitleProceedings of the 16th IEEE International Workshop on Multimedia Signal Processing (MMSP 2014)
ERA Conference ID43807
Number of Pages6
Year2014
Place of PublicationPiscataway, NJ. United States
ISBN9781479958979
Digital Object Identifier (DOI)https://doi.org/10.1109/MMSP.2014.6958823
Web Address (URL) of Paperhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6958823
Conference/Event16th IEEE International Workshop on Multimedia Signal Processing (MMSP 2014)
IEEE International Workshop on Multimedia Signal Processing
Event Details
IEEE International Workshop on Multimedia Signal Processing
MMSP
Rank
B
B
B
B
B
B
Event Details
16th IEEE International Workshop on Multimedia Signal Processing (MMSP 2014)
Event Date
22 to end of 24 Sep 2014
Event Location
Jakarta, Indonesia
Abstract

Video coding techniques utilising background frames, provide better rate distortion performance by exploiting coding efficiency in uncovered background areas compared to the latest video coding standard. Parametric approaches such as the mixture of Gaussian (MoG) based background modeling has been widely used however they require prior knowledge about the test videos for parameter estimation. Recently introduced non-parametric (NP) based background modeling techniques successfully improved video coding performance through a HEVC integrated coding scheme. The inherent nature of the NP technique naturally exhibits superior performance in dynamic background scenarios compared to the MoG based technique without a priori knowledge of video data distribution. Although NP based coding schemes showed promising coding performances, they suffer from a number of key challenges - (a) determination of the optimal subset of training frames for generating a suitable background that can be used as a reference frame during coding, (b) incorporating dynamic changes in the background effectively after the initial background frame is generated, (c) managing frequent scene change leading to performance degradation, and (d) optimizing coding quality ratio between an I-frame and other frames under bit rate constraints. In this study we develop a new scene adaptive coding scheme using the NP based technique, capable of solving the current challenges by incorporating a new continuously updating background generation process. Extensive experimental results are also provided to validate the effectiveness of the new scheme.

ANZSRC Field of Research 2020400699. Communications engineering not elsewhere classified
490302. Numerical analysis
461301. Coding, information theory and compression
Public Notes

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsSchool of Management and Enterprise
Charles Sturt University
Federation University
Institution of OriginUniversity of Southern Queensland
Funding source
Australian Research Council (ARC)
Grant ID
DP130103670
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