Details
| Original language | English |
|---|---|
| Title of host publication | 2015 Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop |
| Subtitle of host publication | PV 2015 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 30-34 |
| Number of pages | 5 |
| ISBN (electronic) | 9781479977833 |
| Publication status | Published - Jul 2015 |
| Event | 31st Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop, PV 2015 - Cairns, Australia Duration: 31 May 2015 → 3 Jun 2015 |
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 accuracy of prediction depends on the similarity of the content between the reference block and the current block. With the change of velocity of the camera or certain objects in a scene, which is typically expected in action and sports movies, motion blur varies from frame to frame leading to a reduced prediction accuracy. We employ fixed-length filters to compensate varying motion blur in hybrid video coding. While former approaches needed additional signaling for blurring filters, our filter is derived only based on the motion vector. We implemented our approach in the High Efficiency Video Coding (HEVC) reference software HM 13.0. Compared to the reference we gain 2.15% in terms of BD-Rate in average for JCT-VC test sequences and 4.43% for self-recorded sequences containing lots of varying motion blur.
Keywords
- HEVC, Motion blur compensation, Video coding
ASJC Scopus subject areas
- Computer Science(all)
- Signal Processing
- Engineering(all)
- Media Technology
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2015 Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop: PV 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 30-34 7170041.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Motion blur compensation in HEVC using fixed-length adaptive filter
AU - Liu, Yiqun
AU - Wu, Wei
AU - Ostermann, Jorn
PY - 2015/7
Y1 - 2015/7
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 accuracy of prediction depends on the similarity of the content between the reference block and the current block. With the change of velocity of the camera or certain objects in a scene, which is typically expected in action and sports movies, motion blur varies from frame to frame leading to a reduced prediction accuracy. We employ fixed-length filters to compensate varying motion blur in hybrid video coding. While former approaches needed additional signaling for blurring filters, our filter is derived only based on the motion vector. We implemented our approach in the High Efficiency Video Coding (HEVC) reference software HM 13.0. Compared to the reference we gain 2.15% in terms of BD-Rate in average for JCT-VC test sequences and 4.43% for self-recorded sequences containing lots of varying motion blur.
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 accuracy of prediction depends on the similarity of the content between the reference block and the current block. With the change of velocity of the camera or certain objects in a scene, which is typically expected in action and sports movies, motion blur varies from frame to frame leading to a reduced prediction accuracy. We employ fixed-length filters to compensate varying motion blur in hybrid video coding. While former approaches needed additional signaling for blurring filters, our filter is derived only based on the motion vector. We implemented our approach in the High Efficiency Video Coding (HEVC) reference software HM 13.0. Compared to the reference we gain 2.15% in terms of BD-Rate in average for JCT-VC test sequences and 4.43% for self-recorded sequences containing lots of varying motion blur.
KW - HEVC
KW - Motion blur compensation
KW - Video coding
UR - http://www.scopus.com/inward/record.url?scp=84945939510&partnerID=8YFLogxK
U2 - 10.1109/pcs.2015.7170041
DO - 10.1109/pcs.2015.7170041
M3 - Conference contribution
AN - SCOPUS:84945939510
SP - 30
EP - 34
BT - 2015 Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 31st Picture Coding Symposium, PCS 2015 - with 2015 Packet Video Workshop, PV 2015
Y2 - 31 May 2015 through 3 June 2015
ER -