Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2018 Picture Coding Symposium, PCS 2018 - Proceedings |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 144-148 |
| Seitenumfang | 5 |
| ISBN (Print) | 9781538641606 |
| Publikationsstatus | Veröffentlicht - 6 Sept. 2018 |
| Veranstaltung | 33rd Picture Coding Symposium, PCS 2018 - San Francisco, USA / Vereinigte Staaten Dauer: 24 Juni 2018 → 27 Juni 2018 |
Abstract
In recent years, there has been a tremendous improvement in video coding algorithms. This improvement resulted in 2013 in the standardization of the first version of High Efficiency Video Coding (HEVC) which now forms the state-of-theart with superior coding efficiency. Nevertheless, the development of video coding algorithms did not stop as HEVC still has its limitations. Especially for complex textures HEVC reveals one of its limitations. As these textures are hard to predict, very high bit rates are required to achieve a high quality. Texture synthesis was proposed as solution for this limitation in previous works. However, previous texture synthesis frameworks only prevailed if the decomposition into synthesizable and non-synthesizable regions was either known or very easy. In this paper, we address this scenario with a texture synthesis framework based on detail-aware image decomposition techniques. Our techniques are based on a multiple-steps coarse-to-fine approach in which an initial decomposition is refined with awareness for small details. The efficiency of our approach is evaluated objectively and subjectively: BD-rate gains of up to 28.81% over HEVC and up to 12.75% over the closest related work were achieved. Our subjective tests indicate an improved visual quality in addition to the bit rate savings.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Medientechnik
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2018 Picture Coding Symposium, PCS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. S. 144-148 8456248.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Extending HEVC with a Texture Synthesis Framework using Detail-aware Image Decomposition
AU - Wandt, Bastian
AU - Laude, Thorsten
AU - Rosenhahn, Bodo
AU - Ostermann, Jörn
PY - 2018/9/6
Y1 - 2018/9/6
N2 - In recent years, there has been a tremendous improvement in video coding algorithms. This improvement resulted in 2013 in the standardization of the first version of High Efficiency Video Coding (HEVC) which now forms the state-of-theart with superior coding efficiency. Nevertheless, the development of video coding algorithms did not stop as HEVC still has its limitations. Especially for complex textures HEVC reveals one of its limitations. As these textures are hard to predict, very high bit rates are required to achieve a high quality. Texture synthesis was proposed as solution for this limitation in previous works. However, previous texture synthesis frameworks only prevailed if the decomposition into synthesizable and non-synthesizable regions was either known or very easy. In this paper, we address this scenario with a texture synthesis framework based on detail-aware image decomposition techniques. Our techniques are based on a multiple-steps coarse-to-fine approach in which an initial decomposition is refined with awareness for small details. The efficiency of our approach is evaluated objectively and subjectively: BD-rate gains of up to 28.81% over HEVC and up to 12.75% over the closest related work were achieved. Our subjective tests indicate an improved visual quality in addition to the bit rate savings.
AB - In recent years, there has been a tremendous improvement in video coding algorithms. This improvement resulted in 2013 in the standardization of the first version of High Efficiency Video Coding (HEVC) which now forms the state-of-theart with superior coding efficiency. Nevertheless, the development of video coding algorithms did not stop as HEVC still has its limitations. Especially for complex textures HEVC reveals one of its limitations. As these textures are hard to predict, very high bit rates are required to achieve a high quality. Texture synthesis was proposed as solution for this limitation in previous works. However, previous texture synthesis frameworks only prevailed if the decomposition into synthesizable and non-synthesizable regions was either known or very easy. In this paper, we address this scenario with a texture synthesis framework based on detail-aware image decomposition techniques. Our techniques are based on a multiple-steps coarse-to-fine approach in which an initial decomposition is refined with awareness for small details. The efficiency of our approach is evaluated objectively and subjectively: BD-rate gains of up to 28.81% over HEVC and up to 12.75% over the closest related work were achieved. Our subjective tests indicate an improved visual quality in addition to the bit rate savings.
UR - http://www.scopus.com/inward/record.url?scp=85053891234&partnerID=8YFLogxK
U2 - 10.1109/pcs.2018.8456248
DO - 10.1109/pcs.2018.8456248
M3 - Conference contribution
AN - SCOPUS:85053891234
SN - 9781538641606
SP - 144
EP - 148
BT - 2018 Picture Coding Symposium, PCS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 33rd Picture Coding Symposium, PCS 2018
Y2 - 24 June 2018 through 27 June 2018
ER -