Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC

Ngfeng Li; Shen Li; Takeshi Ikenaga; Shunichi Ishiwata; Masataka Matsui; Satoshi Goto

Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC

Ngfeng Li^*, Shen Li, Takeshi Ikenaga, Shunichi Ishiwata, Masataka Matsui, Satoshi Goto

^*Corresponding author for this work

Graduate School of Information, Production and Systems

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

Abstract

This paper presents a feature-based early-termination approach for multiple reference frame motion estimation in H.264/AVC. Early-termination on frame level is adopted to simplify original full search algorithm. Meanwhile, according to an analysis on the reasons that some special video contents require more reference frames than others, three feature-based detectors are designed to detect those special contents. Moreover, an adaptive SAD criterion is set to guarantee that the prediction error is below a certain level. Simulation results show that the proposed algorithm is effective in reducing the computational complexity of motion estimation in H.264/AVC with an acceptable coding efficiency loss.

Original language	English
Title of host publication	25th PCS Proceedings
Subtitle of host publication	Picture Coding Symposium 2006, PCS2006
Publication status	Published - 2006
Event	25th PCS: Picture Coding Symposium 2006, PCS2006 - Beijing, China Duration: 2006 Apr 24 → 2006 Apr 26

Publication series

Name	25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006
Volume	2006

Conference

Conference	25th PCS: Picture Coding Symposium 2006, PCS2006
Country/Territory	China
City	Beijing
Period	06/4/24 → 06/4/26

ASJC Scopus subject areas

Engineering(all)

Cite this

Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC. / Li, Ngfeng; Li, Shen; Ikenaga, Takeshi et al.
25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006. 2006. (25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006; Vol. 2006).

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

Li, N, Li, S, Ikenaga, T, Ishiwata, S, Matsui, M & Goto, S 2006, Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC. in 25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006. 25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006, vol. 2006, 25th PCS: Picture Coding Symposium 2006, PCS2006, Beijing, China, 06/4/24.

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title = "Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC",

abstract = "This paper presents a feature-based early-termination approach for multiple reference frame motion estimation in H.264/AVC. Early-termination on frame level is adopted to simplify original full search algorithm. Meanwhile, according to an analysis on the reasons that some special video contents require more reference frames than others, three feature-based detectors are designed to detect those special contents. Moreover, an adaptive SAD criterion is set to guarantee that the prediction error is below a certain level. Simulation results show that the proposed algorithm is effective in reducing the computational complexity of motion estimation in H.264/AVC with an acceptable coding efficiency loss.",

author = "Ngfeng Li and Shen Li and Takeshi Ikenaga and Shunichi Ishiwata and Masataka Matsui and Satoshi Goto",

year = "2006",

language = "English",

isbn = "300018726X",

series = "25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006",

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note = "25th PCS: Picture Coding Symposium 2006, PCS2006 ; Conference date: 24-04-2006 Through 26-04-2006",

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T1 - Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC

AU - Li, Ngfeng

AU - Li, Shen

AU - Ikenaga, Takeshi

AU - Ishiwata, Shunichi

AU - Matsui, Masataka

AU - Goto, Satoshi

PY - 2006

Y1 - 2006

N2 - This paper presents a feature-based early-termination approach for multiple reference frame motion estimation in H.264/AVC. Early-termination on frame level is adopted to simplify original full search algorithm. Meanwhile, according to an analysis on the reasons that some special video contents require more reference frames than others, three feature-based detectors are designed to detect those special contents. Moreover, an adaptive SAD criterion is set to guarantee that the prediction error is below a certain level. Simulation results show that the proposed algorithm is effective in reducing the computational complexity of motion estimation in H.264/AVC with an acceptable coding efficiency loss.

AB - This paper presents a feature-based early-termination approach for multiple reference frame motion estimation in H.264/AVC. Early-termination on frame level is adopted to simplify original full search algorithm. Meanwhile, according to an analysis on the reasons that some special video contents require more reference frames than others, three feature-based detectors are designed to detect those special contents. Moreover, an adaptive SAD criterion is set to guarantee that the prediction error is below a certain level. Simulation results show that the proposed algorithm is effective in reducing the computational complexity of motion estimation in H.264/AVC with an acceptable coding efficiency loss.

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M3 - Conference contribution

AN - SCOPUS:34047122591

SN - 300018726X

SN - 9783000187261

T3 - 25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006

BT - 25th PCS Proceedings

T2 - 25th PCS: Picture Coding Symposium 2006, PCS2006

Y2 - 24 April 2006 through 26 April 2006

ER -

Feature-detection-based early-termination approach for multi-frame motion estimation of H.264/AVC

Abstract

Publication series

Conference

ASJC Scopus subject areas

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