IEEE 3333.1.3-2022 PDF

IEEE 3333.1.3-2022 PDF

Name:
IEEE 3333.1.3-2022 PDF

Published Date:
05/27/2022

Status:
Active

Description:

IEEE Standard for the Deep Learning-Based Assessment of Visual Experience Based on Human Factors

Publisher:
IEEE

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

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$22.5
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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.
File Size : 1 file , 5.6 MB
ISBN(s) : 9781504487351, 9781504484428, 9781504484435
Note : This product is unavailable in Russia, Ukraine, Belarus
Number of Pages : 47
Product Code(s) : STD25247, STDPD25247, STDPL25436
Published : 05/27/2022

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