Foreground motion and spatial saliency-based efficient HEVC video coding

Pallab Podder, Manoranjan Paul, Manzur Murshed

Research output: Book chapter/Published conference paperConference paper

Abstract

High Efficiency Video Coding (HEVC) could not provide real time facilities to the limited processing and battery powered electronic devices as its encoding time complexity increases multiple times compared to its predecessor. Numerous researchers contribute to address this limitation by reducing a number of motion estimation (ME) modes where they analyze homogeneity, residual and statistical correlation among different modes. Although their approaches save some encoding time, however, could not reach the similar rate-distortion (RD) performance with HEVC encoder as they merely depend on existing Lagrangian cost function (LCF) within HEVC framework. To overcome this limitation, in this paper, we capture visual attentive Foreground motion and salient region (FMSR) which are sensitive to human visual system for quality assessment. The FMSR features captured by visual attentive and dynamic background modeling are adaptively synthesized to determine a subset of candidate modes. This preprocessing phase is independent from LCF. Since the proposed technique can avoid exhaustive exploration of all modes with simple criteria, it can reduce 27% encoding time on average. With efficient selection of FMSR-based appropriate block partitioning modes, it can also improve up to 1.0dB peak signal-to noise ratio (PSNR).
Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Image and Vision Computing New Zealand
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2016
Event30th International Conference on Image and Vision Computing New Zealand: IVCNZ 2015 - Level 4, Engineering Building, University of Auckland, Auckland, New Zealand
Duration: 23 Nov 201524 Nov 2015
https://ivcnz2015.aut.ac.nz/

Conference

Conference30th International Conference on Image and Vision Computing New Zealand
CountryNew Zealand
CityAuckland
Period23/11/1524/11/15
OtherImage and Vision Computing New Zealand is New Zealand's premier academic conference on all aspects of computer vision, image processing, computer graphics, virtual and augmented reality, visualization, and HCI applications related to these fields.
Internet address

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    Podder, P., Paul, M., & Murshed, M. (2016). Foreground motion and spatial saliency-based efficient HEVC video coding. In Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand (pp. 1-6). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IVCNZ.2015.7761565