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

Chakraborty, Subrata and Paul, Manoranjan and Murshed, Manzur and Ali, Mortuza (2014) A novel video coding scheme using a scene adaptive non-parametric background model. In: 16th IEEE International Workshop on Multimedia Signal Processing (MMSP 2014), 22-24 Sep 2014, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: No
Item Status: Live Archive
Additional Information: © 2014 by IEEE. Permanent restricted access to published version due to publisher copyright policy.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 11 Feb 2015 03:59
Last Modified: 01 Aug 2017 23:42
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
08 Information and Computing Sciences > 0804 Data Format > 080401 Coding and Information Theory
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Funding Details:
Identification Number or DOI: 10.1109/MMSP.2014.6958823
URI: http://eprints.usq.edu.au/id/eprint/26731

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