A Method of Motion-Estimation-Based H.264 Video Coding Using Optimal Search-Range

Journal article

Authors/Editors

Strategic Research Themes

Publication Details

Author list: Boonthep N., Chamnongthai K.

Publisher: Springer

Publication year: 2019

Volume number: 115

Issue number: 4

Start page: 2833

End page: 2850

Number of pages: 18

ISSN: 0929-6212

eISSN: 1572-834X

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097516187&doi=10.1007%2fs11277-019-06766-4&partnerID=40&md5=5c24ed17223694961a8485ff9a6ceac7

Languages: English-Great Britain (EN-GB)

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Abstract

In multi-view video coding, inter-view and temporal redundancies decrease the coding efficiency and video quality, and they need to be eliminated. This paper proposes a method of motion-estimation-based H.264 video coding method using the optimal search-range for video broadcasting from a studio. In the method, first, a point-matching tool is used to match the corresponding points in the previous and current frames. These points are then calculated to obtain the movement vectors in order to estimate the corresponding points in the next frame, and the estimated corresponding points in the next frame are used as the centers for drawing circles, which are the individual search ranges. The corresponding points in the next frame are found in the determined search ranges by using the optical flow. They are finally encoded with the disparities and transmitted using the H.264 standard. To evaluate the performance of the proposed method, experiments with standard videos are performed, and the performance is approximately improved by 0.2–0.3 dB and 84 ms per 100 frames in terms of the PSNR (peak signal-to-noise ratio) and computational speed, respectively. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords

H.264/ACV, Optical flow, Video coding