Stars in Their Eyes: What Eye-Tracking Reveals About Multimedia Perceptual Quality

Gulliver, Stephen R.; Ghinea, Gheorghita

doi:10.1109/tsmca.2004.826309

Cited by 53 publications

(37 citation statements)

References 25 publications

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“…Most of the recent studies, such as [11], [13], [14], [23], [24], [31], [32], [33], [35], [44] have examined the impact of compression in relation to experienced quality, whereas there are fewer studies analyzing the impact of transmission errors to perceived quality [14], [16], [26], [27].…”

Section: Introductionmentioning

confidence: 99%

“…This approach mostly follows common guidelines of psychophysical experiments, such as preferring short stimuli with several repetitions. The second approach attempts to gain a high ecological validity by constraining the tests to potential users and stimuli and evaluating acceptability or goals of viewing in parallel to quality assessment [10][11] [13] [14][26] [35]. However, usage context or situation is often not taken into account in subjective research methods.…”

Section: Introductionmentioning

confidence: 99%

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Does context matter in quality evaluation of mobile television?

Jumisko-Pyykkö

Hannuksela

2008

Proceedings of the 10th International Conference on Human Computer Interaction With Mobile Devices and Services

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Subjective quality evaluation is used to optimize the produced audiovisual quality from fundamental signal processing algorithms to consumer services. These studies typically follow the basic principles of controlled psychoperceptual experiments. However, when compromising compression and transmission parameters for consumer services, the ecological validity of conventional quality evaluation methods can be questioned. To tackle this, we firstly present a novel user-oriented quality evaluation method for mobile television in its usage contexts. Secondly, we present the results of an experiment conducted with 30 participants comparing acceptability and satisfaction of quality as well as goals of viewing in three mobile contexts and under four different residual transmission error rates, when the participants also performed simultaneous assessment tasks. Finally, we compare the results with a previous laboratory experiment. The studied error rates impacted negatively on all measured tasks with some contextual differences. Moreover, the evaluations were more favorable and less discriminate in the mobile contexts compared to the laboratory.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Does context matter in quality evaluation of mobile television?

Jumisko-Pyykkö

Hannuksela

2008

Proceedings of the 10th International Conference on Human Computer Interaction With Mobile Devices and Services

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“…Lastly, two other key issues in ROI video encoding research must also be mentioned: how to determine the regions of interest themselves, and what constitutes an ideal (high quality, low quality) combination in such coders. As regards the first question, determination of ROIs is usually done either by applying models of human vision [20], [21] to establish perceptually relevant areas of display, or by empirically determining these through eye tracking experiments [3]. In respect of the latter question, although there is no clear consensus in respect of what constitutes an ideal display combination, there is agreement on what parameters are to be used, and examples put forward mainly centre on varying either bit rates or frame rates [3], [20], [22], [23].…”

Section: B Region Of Interest-based Researchmentioning

confidence: 99%

“…However as eye-tracking research has shown [3], there are some regions within multimedia streams' frames the viewers are more interested in than in others. Consequently ROIAS enhances the classic network condition-based adaptive solution for streaming multimedia with a novel approach.…”

Section: B Roias Principlementioning

confidence: 99%

“…Existing solutions, though, affect equally the whole viewing area of multimedia frames when adjusting the multimedia stream. However research has shown [3] that there are regions of the multimedia display image on which the viewers are more interested in than on others. Consequently these multimedia display areas are named regions of interest (ROI).…”

Section: Introductionmentioning

confidence: 99%

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Region of Interest-Based Adaptive Multimedia Streaming Scheme

Muntean

Ghinea²,

Sheehan³

2008

IEEE Trans. on Broadcast.

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Abstract-Adaptive multimedia streaming aims at adjusting the transmitted content based on the available bandwidth such as losses that often severely affect the end-user perceived quality are minimised and consequently the transmission quality increases. Current solutions affect equally the whole viewing area of the multimedia frames, despite research showing that there are regions on which the viewers are more interested in than on others. This paper presents a novel region of interest-based adaptive scheme (ROIAS) for multimedia streaming that when performing transmission-related quality adjustments, selectively affects the quality of those regions of the image the viewers are the least interested in. As the quality of the regions the viewers are the most interested in will not change (or will involve little change), the proposed scheme provides higher overall end-user perceived quality than any of the existing adaptive solutions.Index Terms-multimedia streaming, content adaptation, user perceived quality, region of interest. I. INTRODUCTIONsustained growth in the number of broadband connections to residential users and business premises is expected, as part of a trend towards all-IP networks [1]. They provide a low cost, high bandwidth infrastructure that enables the distribution of rich content services, many of them multimedia-based such as digital and interactive video and audio -including video on demand and voice over IP. The success of this trend relies heavily on the users' quality of experience and on the price they have to pay. In order to reduce this price, the network operators strive to ensure a high utilisation of their infrastructure and simultaneously serve many customers. However, this reduces the quality of their services and is at odds with the operators' wish to deliver high quality streamed multimedia to their customers. Therefore there is a need for a solution to stream multimedia data -with its high bandwidth and stringent timing requirements -such that it accommodates these constraints. A typical architecture for multimedia streaming over IP networks is presented in Figure 1.Adaptive solutions [2] were proposed for streaming G.-M. Muntean is with the

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53.2: Visual Search and Attention: What Eye‐Tracking Reveals about Visual Performance in the Curved Display

Choi

Bae

et al. 2015

Symp Digest of Tech Papers

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The purpose of this study is to investigate the effect of the curved display on visual performance and user experience. Eye-tracking technique and self-report were adopted to assess the visual performance when watching multimedia on the curved display. For visual examination, two curvatures were chosen: flat and curved with a radius equal to 4200 mm. A series of 12 clips were presented, consisting of 2 visual tasks and 10 multimedia video clips. The result revealed an improved visual performance in the curved display, especially in terms of visual search and attention. Participants showed an active scan of visual information for a particular target among distractors and quickly responded to the visual cues. The study provides guidance for an effective visual communication through a curved display and can help manufacturers understand the strength and weakness of different display forms.

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Stars in Their Eyes: What Eye-Tracking Reveals About Multimedia Perceptual Quality

Cited by 53 publications

References 25 publications

Does context matter in quality evaluation of mobile television?

Does context matter in quality evaluation of mobile television?

Region of Interest-Based Adaptive Multimedia Streaming Scheme

53.2: Visual Search and Attention: What Eye‐Tracking Reveals about Visual Performance in the Curved Display

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