A Novel Video Coding Scheme using a Scene Adaptive Non-Parametric Background Model

Subrata Chakraborty, Manoranjan Paul, Manzur Murshed, Mortuza Ali

Research output: Book chapter/Published conference paperConference paperpeer-review

8 Citations (Scopus)
4 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP)
Place of PublicationUnited States
PublisherInstitute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781479958962
DOIs
Publication statusPublished - 2014
Event2014 IEEE International Workshop on Multimedia Signal Processing - STMIK Raharja, Jakarta, Indonesia
Duration: 22 Sep 201424 Sep 2014
http://mmsp2014.ilearning.me/

Workshop

Workshop2014 IEEE International Workshop on Multimedia Signal Processing
Country/TerritoryIndonesia
CityJakarta
Period22/09/1424/09/14
OtherMMSP 2014 is the 16th International Workshop on Multimedia Signal Processing. The workshop is organized by the Multimedia Signal Processing Technical Committee of the IEEE Signal Processing Society. This year’s event has a new theme “Internet-of-Thing (IoT) Multimedia”. The theme covers multiple research areas of multimedia signal processing including processing, analysis, networking, security, database and visualization with emphasis on issues, challenges and solutions arising from their synergy with the emerging IoT paradigm. To recognize high quality research papers, MMSP 2014 will be giving out awards for the best paper, best student paper and best poster. Nominations for the awards will be based on the significance and potential impact to the scientific community.
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