QoE assessment in haptic media, sound, and video transmission

Iwata, Kazunori; Ishibashi, Yutaka; Fukushima, Norishige; Sugawara, Shinji

doi:10.1145/1899687.1899694

Cited by 18 publications

(14 citation statements)

References 7 publications

(8 reference statements)

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“…Such objective assessment methods should be ones which can estimate subjective assessment results from objective assessment results with a high degree of accuracy. It is also important to carry out QoS mapping [9], [24], [49]- [51], which estimates QoE (also called the user-level QoS) from QoS parameters at the application-level or lower levels with a high degree of accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…3(a)). In [50] and [51], sound is added to the system in [47], and the sound is generated by hitting a tambourine with PHANToM Omni (see Fig. 3(b)).…”

Section: Collaborative Workmentioning

confidence: 99%

“…MOS (Mean Opinion Score) [102] is obtained by averaging scores given by multiple subjects. In the method, users are asked to assess, for example, the fairness [33], [37], [39], interstream synchronization quality [48]- [53], [56], and operability of haptic interface device [6], [11], [12], [14], [21]- [25], [36], [49]- [51], [53]- [57], [103], [104].…”

Section: Subjective Assessmentmentioning

confidence: 99%

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QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

Huang

Ishibashi

2013

IEICE Trans. Commun.

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SUMMARYMulti-sensory communications with haptics attract a number of researchers in recent years. To provide services of the communications with high realistic sensations, the researchers focus on the quality of service (QoS) control, which keeps as high quality as possible, and the quality of experience (QoE) assessment, which is carried out to investigate the influence on user perception and to verify the effectiveness of QoS control. In this paper, we report the present status of studies on multisensory communications with haptics. Then, we divide applications of the communications into applications in virtual environments and those in real environments, and we mainly describe collaborative work and competitive work in each of the virtual and real environments. We also explain QoS control which is applied to the applications and QoE assessment carried out in them. Furthermore, we discuss the future directions of studies on multi-sensory communications.

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Section: Discussionmentioning

confidence: 99%

“…3(a)). In [50] and [51], sound is added to the system in [47], and the sound is generated by hitting a tambourine with PHANToM Omni (see Fig. 3(b)).…”

Section: Collaborative Workmentioning

confidence: 99%

Section: Subjective Assessmentmentioning

confidence: 99%

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QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

Huang

Ishibashi

2013

IEICE Trans. Commun.

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“…The maximum number of grouped packets is depending on the update rate of the sensor, the minimum acceptable refresh rate at the receiver, and the maximum acceptable delay that a service can tolerate in order not to affect its real-time feature. Based on the mean opinion score (MOS) on the quality of experience (QoE) measurements [27], the quality of service (QoS) requirements for real-time services is depicted in Table 4.…”

Section: Adaptive Packet Frame Grouping (Apfg)mentioning

confidence: 99%

Real-time wireless multisensory smart surveillance with 3D-HEVC streams for internet-of-things (IoT)

et al. 2016

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This paper presents the design of a novel, real-time, wireless, multisensory, smart surveillance system with 3D-HEVC features. The proposed high-level system architecture of the surveillance system is analyzed. The advantages of HEVC encoding are presented. Methods for synchronization between multiple streams are presented. Available wireless standards are presented and compared. A networkadaptive transmission protocol for a reliable, real-time, multisensory surveillance system is proposed. Adaptive packet frame grouping (APFG) and adaptive quantization are deployed to maximize the quality-of-experience (QoE). Measurements of the proposed protocol have been shown to provide superior results compared to existing transport protocols.

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“…One research group [Huang et al 2012;Iwata et al 2010;Tatematsu et al 2010;Kusunose et al 2010;Ida et al 2010] relies on subjective measures solely to assess the QoE of various applications. They use Mean Opinion Score (MOS) to determine the overall QoE.…”

Section: Measuring Qoe In Virtual Realitymentioning

confidence: 99%

A Quality of Experience Model for Haptic Virtual Environments

Hamam

Saddik

Alja’am

2014

ACM Trans. Multimedia Comput. Commun. Appl.

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Haptic-based Virtual Reality (VR) applications have many merits. What is still obscure, from the designer's perspective of these applications, is the experience the users will undergo when they use the VR system. Quality of Experience (QoE) is an evaluation metric from the user's perspective that unfortunately has received limited attention from the research community. Assessing the QoE of VR applications reflects the amount of overall satisfaction and benefits gained from the application in addition to laying the foundation for ideal user-centric design in the future. In this article, we propose a taxonomy for the evaluation of QoE for multimedia applications and in particular VR applications. We model this taxonomy using a Fuzzy logic Inference System (FIS) to quantitatively measure the QoE of haptic virtual environments. We build and test our FIS by conducting a users' study analysis to evaluate the QoE of a haptic game application. Our results demonstrate that the proposed FIS model reflects the user's estimation of the application's quality significantly with low error and hence is suited for QoE evaluation.

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QoE assessment in haptic media, sound, and video transmission

Cited by 18 publications

References 7 publications

QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

QoS Control and QoE Assessment in Multi-Sensory Communications with Haptics

Real-time wireless multisensory smart surveillance with 3D-HEVC streams for internet-of-things (IoT)

A Quality of Experience Model for Haptic Virtual Environments

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