Details
| Original language | English |
|---|---|
| Title of host publication | 2013 Picture Coding Symposium |
| Subtitle of host publication | PCS 2013 - Proceedings |
| Pages | 313-316 |
| Number of pages | 4 |
| Publication status | Published - Feb 2014 |
| Event | 2013 Picture Coding Symposium, PCS 2013 - San Jose, CA, United States Duration: 8 Dec 2013 → 11 Dec 2013 |
Publication series
| Name | 2013 Picture Coding Symposium, PCS 2013 - Proceedings |
|---|
Abstract
One main element of modern hybrid video coders consists of motion compensated prediction. It employs spatial or temporal neighborhood to predict the current sample or block of samples, respectively. The quality of motion compensated prediction largely depends on the similarity of the reference picture block used for prediction and the current picture block. In case of varying blur in the scene, e.g. caused by accelerated motion between the camera and objects in the focal plane, the picture prediction is degraded. Since motion blur is a common characteristic in several application scenarios like action and sport movies we suggest the in-loop compensation of motion blur in hybrid video coding. Former approaches applied motion blur compensation in single layer coding with the drawback of needing additional signaling. In contrast to that we employ a scalable video coding framework. Thus, we can derive strength as well as the direction of motion of any block for the high quality enhancement layer by base-layer information. Hence, there is no additional signaling necessary neither for predefined filters nor for current filter coefficients. We implemented our approach in a scalable extension of the High Efficiency Video Coding (HEVC) reference software HM 8.1 and are able to provide up to 1% BD-Rate gain in the enhancement layer compared to the reference at the same PSNR-quality for JCT-VC test sequences and up to 2.5% for self-recorded sequences containing lots of varying motion blur.
Keywords
- HEVC, Motion blur compensation, Scalable, SHVC, Video coding
ASJC Scopus subject areas
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Software
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2013 Picture Coding Symposium: PCS 2013 - Proceedings. 2014. p. 313-316 6737746 (2013 Picture Coding Symposium, PCS 2013 - Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Motion Blur Compensation in Scalable HEVC Hybrid Video Coding
AU - Laude, Thorsten
AU - Meuel, Holger
AU - Liu, Yiqun
AU - Ostermann, Jörn
PY - 2014/2
Y1 - 2014/2
N2 - One main element of modern hybrid video coders consists of motion compensated prediction. It employs spatial or temporal neighborhood to predict the current sample or block of samples, respectively. The quality of motion compensated prediction largely depends on the similarity of the reference picture block used for prediction and the current picture block. In case of varying blur in the scene, e.g. caused by accelerated motion between the camera and objects in the focal plane, the picture prediction is degraded. Since motion blur is a common characteristic in several application scenarios like action and sport movies we suggest the in-loop compensation of motion blur in hybrid video coding. Former approaches applied motion blur compensation in single layer coding with the drawback of needing additional signaling. In contrast to that we employ a scalable video coding framework. Thus, we can derive strength as well as the direction of motion of any block for the high quality enhancement layer by base-layer information. Hence, there is no additional signaling necessary neither for predefined filters nor for current filter coefficients. We implemented our approach in a scalable extension of the High Efficiency Video Coding (HEVC) reference software HM 8.1 and are able to provide up to 1% BD-Rate gain in the enhancement layer compared to the reference at the same PSNR-quality for JCT-VC test sequences and up to 2.5% for self-recorded sequences containing lots of varying motion blur.
AB - One main element of modern hybrid video coders consists of motion compensated prediction. It employs spatial or temporal neighborhood to predict the current sample or block of samples, respectively. The quality of motion compensated prediction largely depends on the similarity of the reference picture block used for prediction and the current picture block. In case of varying blur in the scene, e.g. caused by accelerated motion between the camera and objects in the focal plane, the picture prediction is degraded. Since motion blur is a common characteristic in several application scenarios like action and sport movies we suggest the in-loop compensation of motion blur in hybrid video coding. Former approaches applied motion blur compensation in single layer coding with the drawback of needing additional signaling. In contrast to that we employ a scalable video coding framework. Thus, we can derive strength as well as the direction of motion of any block for the high quality enhancement layer by base-layer information. Hence, there is no additional signaling necessary neither for predefined filters nor for current filter coefficients. We implemented our approach in a scalable extension of the High Efficiency Video Coding (HEVC) reference software HM 8.1 and are able to provide up to 1% BD-Rate gain in the enhancement layer compared to the reference at the same PSNR-quality for JCT-VC test sequences and up to 2.5% for self-recorded sequences containing lots of varying motion blur.
KW - HEVC
KW - Motion blur compensation
KW - Scalable
KW - SHVC
KW - Video coding
UR - http://www.scopus.com/inward/record.url?scp=84897727483&partnerID=8YFLogxK
U2 - 10.1109/PCS.2013.6737746
DO - 10.1109/PCS.2013.6737746
M3 - Conference contribution
AN - SCOPUS:84897727483
SN - 9781479902941
T3 - 2013 Picture Coding Symposium, PCS 2013 - Proceedings
SP - 313
EP - 316
BT - 2013 Picture Coding Symposium
T2 - 2013 Picture Coding Symposium, PCS 2013
Y2 - 8 December 2013 through 11 December 2013
ER -