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Statistical approach for motion estimation skipping (SAMEK)

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
PublisherIEEE
Pages3245-3249
Number of pages5
Publication statusPublished - 2015
Externally publishedYes
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Image Processing (ICIP) - Quebec City, Canada
Duration: 27 Sep 201530 Sep 2015

Publication series

NameIEEE International Conference on Image Processing ICIP
PublisherIEEE
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing (ICIP)
CountryCanada
CityQuebec City
Period27/09/1530/09/15

Abstract

High Efficient Video Coding (HEVC) standard has achieved significant rate-distortion improvement over the previous standard H.264/AVC. However, the complexity that comes from its flexible data structure representation is an obstacle for its wide application. To reduce the overall complexity and encoding time, this paper proposes a statistical approach for motion estimation skipping (SAMEK). The SAMEK method avoids some unnecessary motion estimations in units with less probability of being referenced. These units can be recognized by the two rules of SAMEK method, namely ZeroCase and DecreaseCase. These two rules are summarized by statistically analyzing the relationships between each PU and its references. The experimental results demonstrate that our method can save up to 9.5% encoding time (averagely 6.87%) with negligible rate-distortion losses (averagely 0.006 dB) when compared with HEVC encoder with Test Zone search (TZ search) enabled.

Keywords

  • High Efficiency Video Coding, Motion Estimation Skipping, Reference Analysis, Complexity Reduction, HEVC