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Statistical approach for motion estimation skipping (SAMEK)

Tutkimustuotosvertaisarvioitu

Standard

Statistical approach for motion estimation skipping (SAMEK). / Yu, Li; Xiao, Jimin; Tillo, Tammam; Zhu, Ce.

2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). IEEE, 2015. s. 3245-3249 (IEEE International Conference on Image Processing ICIP).

Tutkimustuotosvertaisarvioitu

Harvard

Yu, L, Xiao, J, Tillo, T & Zhu, C 2015, Statistical approach for motion estimation skipping (SAMEK). julkaisussa 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). IEEE International Conference on Image Processing ICIP, IEEE, Sivut 3245-3249, Quebec City, Kanada, 27/09/15.

APA

Yu, L., Xiao, J., Tillo, T., & Zhu, C. (2015). Statistical approach for motion estimation skipping (SAMEK). teoksessa 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (Sivut 3245-3249). (IEEE International Conference on Image Processing ICIP). IEEE.

Vancouver

Yu L, Xiao J, Tillo T, Zhu C. Statistical approach for motion estimation skipping (SAMEK). julkaisussa 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). IEEE. 2015. s. 3245-3249. (IEEE International Conference on Image Processing ICIP).

Author

Yu, Li ; Xiao, Jimin ; Tillo, Tammam ; Zhu, Ce. / Statistical approach for motion estimation skipping (SAMEK). 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). IEEE, 2015. Sivut 3245-3249 (IEEE International Conference on Image Processing ICIP).

Bibtex - Lataa

@inproceedings{1188c9839e5f42dd9ef2dc34fa2a5466,
title = "Statistical approach for motion estimation skipping (SAMEK)",
abstract = "High Efficient Video Coding (HEVC) standard has achieved significant rate-distortion improvement over the previous standard H.264/AVC. However, the complexity that comes from its flexible data structure representation is an obstacle for its wide application. To reduce the overall complexity and encoding time, this paper proposes a statistical approach for motion estimation skipping (SAMEK). The SAMEK method avoids some unnecessary motion estimations in units with less probability of being referenced. These units can be recognized by the two rules of SAMEK method, namely ZeroCase and DecreaseCase. These two rules are summarized by statistically analyzing the relationships between each PU and its references. The experimental results demonstrate that our method can save up to 9.5{\%} encoding time (averagely 6.87{\%}) with negligible rate-distortion losses (averagely 0.006 dB) when compared with HEVC encoder with Test Zone search (TZ search) enabled.",
keywords = "High Efficiency Video Coding, Motion Estimation Skipping, Reference Analysis, Complexity Reduction, HEVC",
author = "Li Yu and Jimin Xiao and Tammam Tillo and Ce Zhu",
year = "2015",
language = "English",
series = "IEEE International Conference on Image Processing ICIP",
publisher = "IEEE",
pages = "3245--3249",
booktitle = "2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Statistical approach for motion estimation skipping (SAMEK)

AU - Yu, Li

AU - Xiao, Jimin

AU - Tillo, Tammam

AU - Zhu, Ce

PY - 2015

Y1 - 2015

N2 - High Efficient Video Coding (HEVC) standard has achieved significant rate-distortion improvement over the previous standard H.264/AVC. However, the complexity that comes from its flexible data structure representation is an obstacle for its wide application. To reduce the overall complexity and encoding time, this paper proposes a statistical approach for motion estimation skipping (SAMEK). The SAMEK method avoids some unnecessary motion estimations in units with less probability of being referenced. These units can be recognized by the two rules of SAMEK method, namely ZeroCase and DecreaseCase. These two rules are summarized by statistically analyzing the relationships between each PU and its references. The experimental results demonstrate that our method can save up to 9.5% encoding time (averagely 6.87%) with negligible rate-distortion losses (averagely 0.006 dB) when compared with HEVC encoder with Test Zone search (TZ search) enabled.

AB - High Efficient Video Coding (HEVC) standard has achieved significant rate-distortion improvement over the previous standard H.264/AVC. However, the complexity that comes from its flexible data structure representation is an obstacle for its wide application. To reduce the overall complexity and encoding time, this paper proposes a statistical approach for motion estimation skipping (SAMEK). The SAMEK method avoids some unnecessary motion estimations in units with less probability of being referenced. These units can be recognized by the two rules of SAMEK method, namely ZeroCase and DecreaseCase. These two rules are summarized by statistically analyzing the relationships between each PU and its references. The experimental results demonstrate that our method can save up to 9.5% encoding time (averagely 6.87%) with negligible rate-distortion losses (averagely 0.006 dB) when compared with HEVC encoder with Test Zone search (TZ search) enabled.

KW - High Efficiency Video Coding

KW - Motion Estimation Skipping

KW - Reference Analysis

KW - Complexity Reduction

KW - HEVC

M3 - Conference contribution

T3 - IEEE International Conference on Image Processing ICIP

SP - 3245

EP - 3249

BT - 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)

PB - IEEE

ER -