Classifying perceptual experience of tone-mapped high dynamic range videos through EEG

Seong Eun Moon, Jong-Seok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

High dynamic range (HDR) imaging has potential for providing immersive experience of multimedia contents. HDR contents are expected to have better perceptual quality than conventional low dynamic range (LDR) contents, but the perceptual difference in the brain between HDR and LDR contents has not been adequately studied. In this paper, we investigate perceptual experience of tone-mapped HDR videos based on electroencephalography (EEG) classification. A support vector machine (SVM) classification system is constructed using the acquired EEG signals to explore implicitly measured perceptual difference between tone-mapped HDR and LDR videos. As a result, average accuracies of 82.14% and 42.86% are obtained in a subject-dependent scenario and a subject-independent scenario, respectively. This shows that it is possible to distinguish perceptual responses for tone-mapped HDR and LDR videos in a subjectdependent manner. Further, features selected for classification are investigated in each classification scenario. Although the spatial position of the features on the scalp varies across subjects, gamma band powers are generally effective for classification.

Original languageEnglish
Title of host publicationPIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014
PublisherAssociation for Computing Machinery, Inc
Pages27-32
Number of pages6
ISBN (Electronic)9781450331258
DOIs
Publication statusPublished - 2014 Jan 1
EventPIVP 2014 - 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014 - Orlando, United States
Duration: 2014 Nov 7 → …

Publication series

NamePIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014

Other

OtherPIVP 2014 - 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014
CountryUnited States
CityOrlando
Period14/11/7 → …

Fingerprint

Electroencephalography
Bioelectric potentials
Support vector machines
Brain
Imaging techniques

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Moon, S. E., & Lee, J-S. (2014). Classifying perceptual experience of tone-mapped high dynamic range videos through EEG. In PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014 (pp. 27-32). (PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014). Association for Computing Machinery, Inc. https://doi.org/10.1145/2662996.2663010
Moon, Seong Eun ; Lee, Jong-Seok. / Classifying perceptual experience of tone-mapped high dynamic range videos through EEG. PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014. Association for Computing Machinery, Inc, 2014. pp. 27-32 (PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014).
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abstract = "High dynamic range (HDR) imaging has potential for providing immersive experience of multimedia contents. HDR contents are expected to have better perceptual quality than conventional low dynamic range (LDR) contents, but the perceptual difference in the brain between HDR and LDR contents has not been adequately studied. In this paper, we investigate perceptual experience of tone-mapped HDR videos based on electroencephalography (EEG) classification. A support vector machine (SVM) classification system is constructed using the acquired EEG signals to explore implicitly measured perceptual difference between tone-mapped HDR and LDR videos. As a result, average accuracies of 82.14{\%} and 42.86{\%} are obtained in a subject-dependent scenario and a subject-independent scenario, respectively. This shows that it is possible to distinguish perceptual responses for tone-mapped HDR and LDR videos in a subjectdependent manner. Further, features selected for classification are investigated in each classification scenario. Although the spatial position of the features on the scalp varies across subjects, gamma band powers are generally effective for classification.",
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Moon, SE & Lee, J-S 2014, Classifying perceptual experience of tone-mapped high dynamic range videos through EEG. in PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014. PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014, Association for Computing Machinery, Inc, pp. 27-32, PIVP 2014 - 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014, Orlando, United States, 14/11/7. https://doi.org/10.1145/2662996.2663010

Classifying perceptual experience of tone-mapped high dynamic range videos through EEG. / Moon, Seong Eun; Lee, Jong-Seok.

PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014. Association for Computing Machinery, Inc, 2014. p. 27-32 (PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Moon SE, Lee J-S. Classifying perceptual experience of tone-mapped high dynamic range videos through EEG. In PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014. Association for Computing Machinery, Inc. 2014. p. 27-32. (PIVP 2014 - Proceedings of the 1st International Workshop on Perception Inspired Video Processing, Workshop of MM 2014). https://doi.org/10.1145/2662996.2663010