Factors Affecting Enhanced Video Quality Preferences

Abstract

The development of video quality metrics requires methods for measuring perceived video quality. Most such metrics are designed and tested using databases of images degraded by compression and scored using opinion ratings. We studied video quality preferences for enhanced images of normally-sighted participants using the method of paired comparisons with a thorough statistical analysis. Participants (n=40) made pair-wise comparisons of high definition (HD) video clips enhanced at four different levels using a commercially available enhancement device. Perceptual scales were computed with binary logistic regression to estimate preferences for each level and to provide statistical inference of the differences among levels and the impact of other variables. While moderate preference for enhanced videos was found, two unexpected effects were also uncovered: (1) Participants could be broadly classified into two groups: those who preferred enhancement ("Sharp") and those who disliked enhancement ("Smooth"). (2) Enhancement preferences depended on video content, particularly for human faces to be enhanced less. The results suggest that algorithms to evaluate image quality (at least for enhancement) may need to be adjusted or applied differentially based on video content and viewer preferences. The possible impact of similar effects on image quality of compressed video needs to be evaluated.

Content type and perceived multimedia quality in mobile learning

“…Ghinea and Chen [14] have shown that cognitive styles could influence video color choice. This research, similar with the findings from [36] has shown that the users do not always chose the optimum video quality in learning contexts, or when they look at movie trailers and documentaries [51].…”

Factors affecting user preference for mobile video quality

“…All the studies presented above have assessed different factors affecting user adoption of mobile data [14,15], or looked into how different billing plans affect user satisfaction and interaction with mobile data [16,17] but have not looked into how they affect user preference for video quality. Research that has assessed how different factors affect video quality has addressed the influence of video content type and enhancement [22] and how certain billing plans [20,24], user attitude towards risk [21] or cultural traits [23] affect user preference for video quality. As opposed to the above studies, in this article we focus on assessing whether the user preference for a certain multimedia content or its previous usage of mobile data affects the preference for a certain type of video content.…”

“…Several studies have looked at user preferences for different video quality and what factors affect them [20,21,22,23]. [20] show that the user preference for a certain video quality changes depending on the billing plan s/he has (unlimited or capped billing plan).…”

“…whether the user can buy another bundle or s/he has her/his bandwidth throttled) [20]. Moreover willingness to pay for the video quality might be explained by the user attitude towards risk [21]. Cultural and personality traits (i.e.…”

The Impact of Mobile Device Preference on the Quality of Experience

“…The impact of video content preference has been investigated in several studies [14], [15], [16], [14], [17], but none have investigated the impact of mobile device preference on the QoE over video service. With respect to mobile device specifications, there are some challenges for managing video traffic and displaying video to ensure an acceptable QoE for end users.…”