A region adaptive motion estimation strategy leveraging on the edge position difference measure

Ashek Ahmmed, Manoranjan Paul, Manzur, Murshed, Andrew Lambert, Mark Pickering

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

1 Citation (Scopus)

Abstract

To capture motion homogeneity between successive frames, the edge position difference (EPD) measure based motion modeling (EPD-MM) has shown good motion compensation capabilities. The EPD-MM technique is underpinned by the fact that from one frame to next, edges map to edges and such mapping can be captured by an appropriate motion model. However, the EPD-MM approach may produce inferior quality motion model in those regions of the current frame where moving edges are few in number. For such regions, traditional pixel intensity difference (PID) measure based motion modeling (PID-MM) may yield superior motion compensation. Therefore, in this paper, the entire current frame is at first partitioned into two regions (edge dominant region and edge sparse region) based on the frequency of moving edge pixels. This segmentation is carried out over the EPD image since it possesses information pertinent to the distance of every pixel from its nearest edge. After that for motion modeling, in the edge dominant region, the EPD-MM technique is adopted and for the rest of the current frame regions, the PID-MM approach is chosen. Experimental results show an improved prediction PSNR of 1.90 dB from the proposed approach compared to that of the baseline EPD-MM approach that does not differentiate between edge dominant and edge sparse regions. Moreover, if this predicted frame is employed as an additional reference frame to encode current frames, bit rate savings of up to 7.84% is achievable over a HEVC reference codec.
Original languageEnglish
Title of host publication2022 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications (DICTA 2022)
Place of PublicationUnited States
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)9781665456425
ISBN (Print)9781665456432 (Print on demand)
DOIs
Publication statusPublished - 2022
EventInternational Conference on Digital Image Computing: Techniques and Applications (DICTA 2022) - Rydges World Square, Sydney, Australia
Duration: 30 Nov 202202 Dec 2022
http://dicta2022.dictaconference.org/ (Conference website)
http://dicta2022.dictaconference.org/full_program.html#oral4 (Program)
https://ieeexplore.ieee.org/xpl/conhome/10034558/proceeding (Conference proceedings)
http://dicta2022.dictaconference.org/DICTA%202022%20CFP.pdf (Call for papers)

Publication series

Name2022 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2022

Conference

ConferenceInternational Conference on Digital Image Computing
Country/TerritoryAustralia
CitySydney
Period30/11/2202/12/22
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address

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