Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard

Abdelrahman Abdelazim; Ahmed Hamza; Djamel Ait-Boudaoud

doi:10.1109/IEEEGCC.2017.8447939

Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard

Abdelrahman Abdelazim, Ahmed Hamza, Djamel Ait-Boudaoud

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Development in video coding technology is at the heart of recent rapid advances in streamed and live digital video technologies. This paper proposes the implementation of the Large Cross Search Algorithm in the H.265/High Efficiency Video Coding motion estimation process, a technique common to most hybrid block-based video encoders. Our speed optimization through frequency domain phase-correlation enables the user to compress a video in a short time while maintaining high image quality with bit rates similar to the standard implementation. The implementation was tested with preliminary results on
common video sequences.

Original language	English
Title of host publication	Proceedings of the 2017 9th IEEE-GCC Conference and Exhibition (GCCCE)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	5
ISBN (Electronic)	978-1-5386-2756-3
ISBN (Print)	978-1-5386-2757-0
DOIs	https://doi.org/10.1109/IEEEGCC.2017.8447939
Publication status	Published - 30 Aug 2018
Event	2017 9th IEEE-GCC Conference and Exhibition - Manama, Bahrain Duration: 8 May 2017 → 11 May 2017

Publication series

Name	IEEE GCCCE Proceedings Series
Publisher	IEEE
ISSN (Electronic)	2473-9391

Conference

Conference	2017 9th IEEE-GCC Conference and Exhibition
Country/Territory	Bahrain
City	Manama
Period	8/05/17 → 11/05/17

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10.1109/IEEEGCC.2017.8447939

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Accepted author manuscript (Post-print), 1.1 MB

Cite this

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title = "Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard",

abstract = "Development in video coding technology is at the heart of recent rapid advances in streamed and live digital video technologies. This paper proposes the implementation of the Large Cross Search Algorithm in the H.265/High Efficiency Video Coding motion estimation process, a technique common to most hybrid block-based video encoders. Our speed optimization through frequency domain phase-correlation enables the user to compress a video in a short time while maintaining high image quality with bit rates similar to the standard implementation. The implementation was tested with preliminary results oncommon video sequences.",

author = "Abdelrahman Abdelazim and Ahmed Hamza and Djamel Ait-Boudaoud",

year = "2018",

month = aug,

day = "30",

doi = "10.1109/IEEEGCC.2017.8447939",

language = "English",

isbn = "978-1-5386-2757-0",

series = "IEEE GCCCE Proceedings Series",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings of the 2017 9th IEEE-GCC Conference and Exhibition (GCCCE)",

address = "United States",

note = "2017 9th IEEE-GCC Conference and Exhibition ; Conference date: 08-05-2017 Through 11-05-2017",

}

Abdelazim, A, Hamza, A & Ait-Boudaoud, D 2018, Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard. in Proceedings of the 2017 9th IEEE-GCC Conference and Exhibition (GCCCE). IEEE GCCCE Proceedings Series, Institute of Electrical and Electronics Engineers Inc., 2017 9th IEEE-GCC Conference and Exhibition, Manama, Bahrain, 8/05/17. https://doi.org/10.1109/IEEEGCC.2017.8447939

Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard. / Abdelazim, Abdelrahman; Hamza, Ahmed; Ait-Boudaoud, Djamel.
Proceedings of the 2017 9th IEEE-GCC Conference and Exhibition (GCCCE). Institute of Electrical and Electronics Engineers Inc., 2018. (IEEE GCCCE Proceedings Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard

AU - Abdelazim, Abdelrahman

AU - Hamza, Ahmed

AU - Ait-Boudaoud, Djamel

PY - 2018/8/30

Y1 - 2018/8/30

N2 - Development in video coding technology is at the heart of recent rapid advances in streamed and live digital video technologies. This paper proposes the implementation of the Large Cross Search Algorithm in the H.265/High Efficiency Video Coding motion estimation process, a technique common to most hybrid block-based video encoders. Our speed optimization through frequency domain phase-correlation enables the user to compress a video in a short time while maintaining high image quality with bit rates similar to the standard implementation. The implementation was tested with preliminary results oncommon video sequences.

AB - Development in video coding technology is at the heart of recent rapid advances in streamed and live digital video technologies. This paper proposes the implementation of the Large Cross Search Algorithm in the H.265/High Efficiency Video Coding motion estimation process, a technique common to most hybrid block-based video encoders. Our speed optimization through frequency domain phase-correlation enables the user to compress a video in a short time while maintaining high image quality with bit rates similar to the standard implementation. The implementation was tested with preliminary results oncommon video sequences.

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DO - 10.1109/IEEEGCC.2017.8447939

M3 - Conference contribution

SN - 978-1-5386-2757-0

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T2 - 2017 9th IEEE-GCC Conference and Exhibition

Y2 - 8 May 2017 through 11 May 2017

ER -

Cross search frequency domain motion estimation algorithm for the High Efficiency Video Coding standard

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