Details
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Image Processing |
| Subtitle of host publication | ICIP 2015 - Proceedings |
| Pages | 2567-2571 |
| Number of pages | 5 |
| ISBN (electronic) | 9781479983391 |
| Publication status | Published - Dec 2015 |
| Event | IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada Duration: 27 Sept 2015 → 30 Sept 2015 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| Volume | 2015-December |
| ISSN (Print) | 1522-4880 |
Abstract
Motion compensation is one of the most important elements in modern hybrid video coders. It utilizes temporal information to predict the current block and reduces thereby the redundancy of a video. The prediction accuracy depends on the similarity between the reference block and the current block. It is decreased by varying motion blur caused by the acceleration of the camera or certain objects in a scene. Thus, we employ fixed-length filters to compensate varying motion blur in hybrid video coding. While former approaches needed additional signaling for blurring filters or a second motion estimation, our algorithm derives the blurring filter only based on the motion vector and needs only one motion estimation. We implemented our approach in the High Efficiency Video Coding (HEVC) reference software HM-13.0. Compared to the reference HM-13.0, we gain 2.54% in terms of BD-Rate in average for JCT-VC test sequences and 4.51% for self-recorded sequence containing lots of varying motion blur, with limited increase in coding time.
Keywords
- HEVC, Motion Blur, Video Coding
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Signal Processing
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2015 IEEE International Conference on Image Processing: ICIP 2015 - Proceedings. 2015. p. 2567-2571 7351266 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2015-December).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Fast motion blur compensation in HEVC using fixed-length filter
AU - Liu, Yiqun
AU - Ostermann, Jorn
PY - 2015/12
Y1 - 2015/12
N2 - Motion compensation is one of the most important elements in modern hybrid video coders. It utilizes temporal information to predict the current block and reduces thereby the redundancy of a video. The prediction accuracy depends on the similarity between the reference block and the current block. It is decreased by varying motion blur caused by the acceleration of the camera or certain objects in a scene. Thus, we employ fixed-length filters to compensate varying motion blur in hybrid video coding. While former approaches needed additional signaling for blurring filters or a second motion estimation, our algorithm derives the blurring filter only based on the motion vector and needs only one motion estimation. We implemented our approach in the High Efficiency Video Coding (HEVC) reference software HM-13.0. Compared to the reference HM-13.0, we gain 2.54% in terms of BD-Rate in average for JCT-VC test sequences and 4.51% for self-recorded sequence containing lots of varying motion blur, with limited increase in coding time.
AB - Motion compensation is one of the most important elements in modern hybrid video coders. It utilizes temporal information to predict the current block and reduces thereby the redundancy of a video. The prediction accuracy depends on the similarity between the reference block and the current block. It is decreased by varying motion blur caused by the acceleration of the camera or certain objects in a scene. Thus, we employ fixed-length filters to compensate varying motion blur in hybrid video coding. While former approaches needed additional signaling for blurring filters or a second motion estimation, our algorithm derives the blurring filter only based on the motion vector and needs only one motion estimation. We implemented our approach in the High Efficiency Video Coding (HEVC) reference software HM-13.0. Compared to the reference HM-13.0, we gain 2.54% in terms of BD-Rate in average for JCT-VC test sequences and 4.51% for self-recorded sequence containing lots of varying motion blur, with limited increase in coding time.
KW - HEVC
KW - Motion Blur
KW - Video Coding
UR - http://www.scopus.com/inward/record.url?scp=84956654559&partnerID=8YFLogxK
U2 - 10.1109/icip.2015.7351266
DO - 10.1109/icip.2015.7351266
M3 - Conference contribution
AN - SCOPUS:84956654559
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2567
EP - 2571
BT - 2015 IEEE International Conference on Image Processing
T2 - IEEE International Conference on Image Processing, ICIP 2015
Y2 - 27 September 2015 through 30 September 2015
ER -