Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2014 Sixth International Workshop on Quality of Multimedia Experience |
| Publisher | IEEE |
| Publication date | 2014 |
| Pages | 13-18 |
| ISBN (Print) | 9781479965366 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 6th International Workshop on Quality of Multimedia Experience - Singapore, Singapore Duration: 18 Sep 2014 → 20 Sep 2014 |
Conference
| Conference | 6th International Workshop on Quality of Multimedia Experience |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 18/09/2014 → 20/09/2014 |
Keywords
- Communication, Networking and Broadcast Technologies
- Computing and Processing
- Signal Processing and Analysis
- Algorithm design and analysis
- clustering
- Conferences
- content selection
- Dynamic range
- High Dynamic Range (HDR)
- Imaging
- Multimedia communication
- Probabilistic logic
- Visualization
Cite this
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An objective method for High Dynamic Range source content selection. / Narwaria, Manish; Mantel, Claire; Da Silva, Matthieu Perreira; Le Callet, Patrick; Forchhammer, Søren.
Proceedings of 2014 Sixth International Workshop on Quality of Multimedia Experience. IEEE, 2014. p. 13-18.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - An objective method for High Dynamic Range source content selection
AU - Narwaria, Manish
AU - Mantel, Claire
AU - Da Silva, Matthieu Perreira
AU - Le Callet, Patrick
AU - Forchhammer, Søren
PY - 2014
Y1 - 2014
N2 - With the aim of improving the immersive experience of the end user, High Dynamic Range (HDR) imaging has been gaining popularity. Therefore, proper validation and performance benchmarking of HDR processing algorithms is a key step towards standardization and commercial deployment. A crucial component of such validation studies is the selection of a challenging and balanced set of source (reference) HDR content. In order to facilitate this, we present an objective method based on the premise that a more challenging HDR scene encapsulates higher contrast, and as a result will show up more visible errors on contrast reduction. This information is subsequently analyzed via fuzzy clustering to enable a probabilistic interpretation. To evaluate the proposed approach, we performed an experimental study on a large set of publicly available HDR images.
AB - With the aim of improving the immersive experience of the end user, High Dynamic Range (HDR) imaging has been gaining popularity. Therefore, proper validation and performance benchmarking of HDR processing algorithms is a key step towards standardization and commercial deployment. A crucial component of such validation studies is the selection of a challenging and balanced set of source (reference) HDR content. In order to facilitate this, we present an objective method based on the premise that a more challenging HDR scene encapsulates higher contrast, and as a result will show up more visible errors on contrast reduction. This information is subsequently analyzed via fuzzy clustering to enable a probabilistic interpretation. To evaluate the proposed approach, we performed an experimental study on a large set of publicly available HDR images.
KW - Communication, Networking and Broadcast Technologies
KW - Computing and Processing
KW - Signal Processing and Analysis
KW - Algorithm design and analysis
KW - clustering
KW - Conferences
KW - content selection
KW - Dynamic range
KW - High Dynamic Range (HDR)
KW - Imaging
KW - Multimedia communication
KW - Probabilistic logic
KW - Visualization
U2 - 10.1109/QoMEX.2014.6982279
DO - 10.1109/QoMEX.2014.6982279
M3 - Article in proceedings
SN - 9781479965366
SP - 13
EP - 18
BT - Proceedings of 2014 Sixth International Workshop on Quality of Multimedia Experience
PB - IEEE
ER -