NDLI: Classifying Perceptual Experience of Tone-mapped High Dynamic Range Videos through EEG

Please wait, while we are loading the content...

Neural Correlates of Spatiotemporal Event Recognition: Application to Brain-Computer Interfaces for Video Exploitation

Compressed-Domain Correlates of Fixations in Video

Can Subliminal Flicker Guide Attention in Natural Images?

Geometrical Cues in Visual Saliency Models for Active Object Recognition in Egocentric Videos

Studying the Perceived Quality Variation over Time for Video Quality Assessment

Attention Retargeting by Color Manipulation in Images

Automatic Pronunciation Assistance on Video

A Perceptually-Inspired Stochastic Framework for Video Search and Analysis

Effect of Subliminal Cueing on In-attentional Blindness

Classifying Perceptual Experience of Tone-mapped High Dynamic Range Videos through EEG

Object vs. Objectless Motion

Classifying Perceptual Experience of Tone-mapped High Dynamic Range Videos through EEG

Content Provider	ACM Digital Library
Author	Moon, Seong-Eun Lee, Jong-Seok
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 subject-dependent 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.
Starting Page	27
Ending Page	32
Page Count	6
File Format	PDF
ISBN	9781450331258
DOI	10.1145/2662996.2663010
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Electroencephalography (eeg) Gamma band Quality of experience (qoe) High dynamic range (hdr)
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in