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

conference contribution
posted on 2023-02-06, 23:19 authored by S Chakraborty, M Paul, Manzur MurshedManzur Murshed, M Ali
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.

History

Location

INDONESIA, Jakarta

Start date

2016-09-22

End date

2016-09-24

ISSN

2163-3517

ISBN-13

9781479958962

Language

English

Title of proceedings

2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014

Event

16th IEEE International Workshop on Multimedia Signal Processing (MMSP)

Publisher

IEEE

Series

IEEE International Workshop on Multimedia Signal Processing