A novel angle-restricted test zone search algorithm for performance improvement of HEVC

Niras C. Vayalil; Manoranjan Paul; Yinan Kong

doi:10.1109/ICIP.2017.8296232

A novel angle-restricted test zone search algorithm for performance improvement of HEVC

Niras C. Vayalil, Manoranjan Paul, Yinan Kong

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

3 Citations (Scopus)

Abstract

High Efficiency Video Coding (HEVC) is the latest video encoding standard and has approximately 50% bit-rate saving compared to its predecessor. However, the motion estimation (ME) is considerably complicated by the incorporation of varieties of partitioning modes and a quad-tree based coding structure, and also by increasing the basic coding unit size by a factor of 16. Motion estimation is the most complex task in the video encoding process, consuming 60-80% of overall encoding time. This paper proposes a new algorithm, angle-restricted test zone (ARTZ) for motion estimation which is based on a test zone (TZ) search, exploiting directional probabilities of motion vector search. In our experiments, this proposal achieves a time saving in motion estimation of about 20% to 50% compared to a TZ search in the HEVC test model (HM) implementation for UHD videos without significant degradation of PSNR.

Original language	English
Title of host publication	2017 IEEE International Conference on Image Processing
Subtitle of host publication	proceedings
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	6-10
Number of pages	5
ISBN (Electronic)	9781509021758, 9781509021741
ISBN (Print)	9781509021765
DOIs	https://doi.org/10.1109/ICIP.2017.8296232
Publication status	Published - 2017
Event	24th IEEE International Conference on Image Processing, ICIP 2017 - Beijing, China Duration: 17 Sept 2017 → 20 Sept 2017

Conference

Conference	24th IEEE International Conference on Image Processing, ICIP 2017
Country/Territory	China
City	Beijing
Period	17/09/17 → 20/09/17

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10.1109/ICIP.2017.8296232

Cite this

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title = "A novel angle-restricted test zone search algorithm for performance improvement of HEVC",

abstract = "High Efficiency Video Coding (HEVC) is the latest video encoding standard and has approximately 50\% bit-rate saving compared to its predecessor. However, the motion estimation (ME) is considerably complicated by the incorporation of varieties of partitioning modes and a quad-tree based coding structure, and also by increasing the basic coding unit size by a factor of 16. Motion estimation is the most complex task in the video encoding process, consuming 60-80\% of overall encoding time. This paper proposes a new algorithm, angle-restricted test zone (ARTZ) for motion estimation which is based on a test zone (TZ) search, exploiting directional probabilities of motion vector search. In our experiments, this proposal achieves a time saving in motion estimation of about 20\% to 50\% compared to a TZ search in the HEVC test model (HM) implementation for UHD videos without significant degradation of PSNR.",

author = "Vayalil, \{Niras C.\} and Manoranjan Paul and Yinan Kong",

year = "2017",

doi = "10.1109/ICIP.2017.8296232",

language = "English",

isbn = "9781509021765",

pages = "6--10",

booktitle = "2017 IEEE International Conference on Image Processing",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",

}

Vayalil, NC, Paul, M & Kong, Y 2017, A novel angle-restricted test zone search algorithm for performance improvement of HEVC. in 2017 IEEE International Conference on Image Processing: proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 6-10, 24th IEEE International Conference on Image Processing, ICIP 2017, Beijing, China, 17/09/17. https://doi.org/10.1109/ICIP.2017.8296232

A novel angle-restricted test zone search algorithm for performance improvement of HEVC. / Vayalil, Niras C.; Paul, Manoranjan; Kong, Yinan.
2017 IEEE International Conference on Image Processing: proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 6-10.

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

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AU - Paul, Manoranjan

AU - Kong, Yinan

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N2 - High Efficiency Video Coding (HEVC) is the latest video encoding standard and has approximately 50% bit-rate saving compared to its predecessor. However, the motion estimation (ME) is considerably complicated by the incorporation of varieties of partitioning modes and a quad-tree based coding structure, and also by increasing the basic coding unit size by a factor of 16. Motion estimation is the most complex task in the video encoding process, consuming 60-80% of overall encoding time. This paper proposes a new algorithm, angle-restricted test zone (ARTZ) for motion estimation which is based on a test zone (TZ) search, exploiting directional probabilities of motion vector search. In our experiments, this proposal achieves a time saving in motion estimation of about 20% to 50% compared to a TZ search in the HEVC test model (HM) implementation for UHD videos without significant degradation of PSNR.

AB - High Efficiency Video Coding (HEVC) is the latest video encoding standard and has approximately 50% bit-rate saving compared to its predecessor. However, the motion estimation (ME) is considerably complicated by the incorporation of varieties of partitioning modes and a quad-tree based coding structure, and also by increasing the basic coding unit size by a factor of 16. Motion estimation is the most complex task in the video encoding process, consuming 60-80% of overall encoding time. This paper proposes a new algorithm, angle-restricted test zone (ARTZ) for motion estimation which is based on a test zone (TZ) search, exploiting directional probabilities of motion vector search. In our experiments, this proposal achieves a time saving in motion estimation of about 20% to 50% compared to a TZ search in the HEVC test model (HM) implementation for UHD videos without significant degradation of PSNR.

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DO - 10.1109/ICIP.2017.8296232

M3 - Conference proceeding contribution

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BT - 2017 IEEE International Conference on Image Processing

PB - Institute of Electrical and Electronics Engineers (IEEE)

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T2 - 24th IEEE International Conference on Image Processing, ICIP 2017

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ER -

A novel angle-restricted test zone search algorithm for performance improvement of HEVC

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