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IEEE 3333.1.3-2022
IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors
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STANDARD published on 27.5.2022
The information about the standard:
Designation standards: IEEE 3333.1.3-2022
Publication date standards: 27.5.2022
SKU: NS-1064311
The number of pages: 51
Approximate weight : 153 g (0.34 lbs)
Country: International technical standard
Category: Technical standards IEEE
Annotation of standard text IEEE 3333.1.3-2022 :
New IEEE Standard - Active.
Measuring quality of experience (QoE) aims to explore the factors that contribute to a user’s perceptual experience including human, system, and context factors. Since QoE stems from human interaction with various devices, the estimation should be started by investigating the mechanism of human visual perception. Therefore, measuring QoE is still a challenging task. In this standard, QoE assessment is categorized into two subcategories which are perceptual quality and virtual reality (VR) cybersickness. In addition, deep learning models considering human factors for various QoE assessments are covered, along with a reliable subjective test methodology and a database construction procedure.
ISBN: 978-1-5044-8442-8, 978-1-5044-8443-5
Number of Pages: 51
Product Code: STD25247, STDPD25247
Keywords: AR, augmented reality, cybersickness, deep learning, human factor, human visual system, HVS, IEEE 3333.1.3, QoE, quality of experience, saliency detection, subjective assessment, virtual reality, visual experience, VR
Category: Computational Intelligence
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