An objective method for High Dynamic Range source content selection

Manish Narwaria; Claire Mantel; Matthieu Perreira Da Silva; Patrick Le Callet; Søren Forchhammer

doi:10.1109/QoMEX.2014.6982279

An objective method for High Dynamic Range source content selection

Manish Narwaria
, Claire Mantel
, Matthieu Perreira Da Silva
, Patrick Le Callet
, Søren Forchhammer

Université Nantes Angers Le Mans

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

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.

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	https://doi.org/10.1109/QoMEX.2014.6982279
Publication status	Published - 2014
Event	6th International Workshop on Quality of Multimedia Experience - Singapore, Singapore Duration: 18 Sept 2014 → 20 Sept 2014

Conference

Conference	6th International Workshop on Quality of Multimedia Experience
Country/Territory	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

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10.1109/QoMEX.2014.6982279

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title = "An objective method for High Dynamic Range source content selection",

abstract = "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.",

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",

author = "Manish Narwaria and Claire Mantel and \{Da Silva\}, \{Matthieu Perreira\} and \{Le Callet\}, Patrick and S{\o}ren Forchhammer",

year = "2014",

doi = "10.1109/QoMEX.2014.6982279",

language = "English",

isbn = "9781479965366",

pages = "13--18",

booktitle = "Proceedings of 2014 Sixth International Workshop on Quality of Multimedia Experience",

publisher = "IEEE",

address = "United States",

note = "6th International Workshop on Quality of Multimedia Experience, QoMEX 2014 ; Conference date: 18-09-2014 Through 20-09-2014",

}

Narwaria, M, Mantel, C, Da Silva, MP, Le Callet, P & Forchhammer, S 2014, An objective method for High Dynamic Range source content selection. in Proceedings of 2014 Sixth International Workshop on Quality of Multimedia Experience. IEEE, pp. 13-18, 6th International Workshop on Quality of Multimedia Experience, Singapore, Singapore, 18/09/2014. https://doi.org/10.1109/QoMEX.2014.6982279

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

T2 - 6th International Workshop on Quality of Multimedia Experience

Y2 - 18 September 2014 through 20 September 2014

ER -

An objective method for High Dynamic Range source content selection

Abstract

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Keywords

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