PROJECT TITLE :
Perceptual Experience Analysis for Tone-mapped HDR Videos Based on EEG and Peripheral Physiological Signals
High dynamic range (HDR) imaging has been attracting abundant attention as a technology that may provide immersive expertise. Its ultimate goal is to produce better quality of expertise (QoE) via enhanced distinction. In this paper, we tend to analyze perceptual experience of tone-mapped HDR videos both explicitly by conducting a subjective questionnaire assessment and implicitly by using EEG and peripheral physiological signals. From the results of the subjective assessment, it is revealed that tone-mapped HDR videos are a lot of interesting and a lot of natural, and provide better quality than low dynamic range (LDR) videos. Physiological signals were recorded throughout watching tone-mapped HDR and LDR videos, and classification systems are made to explore perceptual difference captured by the physiological signals. Important distinction in the physiological signals is observed between tone-mapped HDR and LDR videos in the classification underneath each a subject matter-dependent and a theme-freelance scenarios. Additionally, vital distinction in the signals between high versus low perceived distinction and overall quality is detected via classification below the topic-dependent state of affairs. Moreover, it's shown that options extracted from the gamma frequency band are effective for classification.
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