Adaptive weighted non-parametric background model for efficient video coding

- Chakraborty, Subrata, Paul, Manoranjan, Murshed, Manzur, Ali, Mortuza

Title
Adaptive weighted non-parametric background model for efficient video coding
Creator
Chakraborty, Subrata; Paul, Manoranjan; Murshed, Manzur; Ali, Mortuza
Date
2017
Type
Text; Journal article
Identifier
http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/166063
Identifier
vital:13359
Identifier
https://doi.org/10.1016/j.neucom.2016.11.016
Identifier
ISBN:0925-2312
Abstract
Dynamic background frame based video coding using mixture of Gaussian (MoG) based background modelling has achieved better rate distortion performance compared to the H.264 standard. However, they suffer from high computation time, low coding efficiency for dynamic videos, and prior knowledge requirement of video content. In this paper, we introduce the application of the non-parametric (NP) background modelling approach for video coding domain. We present a novel background modelling technique, called weighted non-parametric (WNP) which balances the historical trend and the recent value of the pixel intensities adaptively based on the content and characteristics of any particular video. WNP is successfully embedded into the latest HEVC video coding standard for better rate-distortion performance. Moreover, a novel scene adaptive non-parametric (SANP) technique is also developed to handle video sequences with high dynamic background. Being non-parametric, the proposed techniques naturally exhibit superior performance in dynamic background modelling without a priori knowledge of video data distribution.
Publisher
Elsevier B.V.
Relation
Neurocomputing Vol. 226, no. (2017), p. 35-45
Rights
Cpoyright © 2016 Elsevier B.V.
Rights
This metadata is freely available under a CCO license
Subject
08 Information and Computing Sciences; 09 Engineering; 17 Psychology and Cognitive Sciences; Background model; Coding efficiency; Coding performance; HEVC; Non-parametric model; Video Coding
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