Paper Info
Title
Multimodal Dataset for Assessment of Quality of Experience in Immersive Multimedia
Abstract
This paper presents a novel multimodal dataset for the analysis of Quality of Experience(QoE) in emerging immersive multimedia technologies. In particular, the perceived Sense of Presence (SoP) induced by one-minute long video stimuli is explored with respect to content, quality, resolution, and sound reproduction and annotated with subjective scores. Furthermore, a complementary analysis of the acquired physiological signals, such as EEG, ECG, and respiration is carried out, aiming at an alternative evaluation of human experience while consuming immersive multimedia. Presented results confirm the value of the introduced dataset and its consistency for the purposes of QoE assessment for immersive multimedia. More specifically, subjective ratings demonstrate that the created dataset enables distinction between low and high levels of immersiveness, which is also confirmed by a preliminary analysis of recorded physiological signals.
Year
DOI
Venue
2015
10.1145/2733373.2806387
ACM Multimedia
Keywords
Field
DocType
Sense of Presence (SoP),Immersive multimedia,Quality of Experience (QoE),EEG,ECG,Respiration,Subjective assessment
Virtual reality,Computer science,Quality of experience,Sense of presence,Multimedia,Sound recording and reproduction
Conference
Citations 
PageRank 
References 
4
0.42
11
Authors
5
Name
Order
Citations
PageRank
Anne-Flore Nicole Marie Perrin140.42
he xu243.46
Eleni Kroupi31016.90
Martin Rerabek4334.93
Touradj Ebrahimi54327322.13