Audiovisual quality estimation of mobile phone video cameras with interpretation-based quality approach

Radun, Jenni; Virtanen, Toni; Olives, Jean-Luc; Vaahteranoksa, Mikko; Vuori, Tero; Nyman, Göte

doi:10.1117/12.703317

Cited by 7 publications

(7 citation statements)

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“…The stereoscopic image quality experience was evaluated using Interpretation Based Quality (IBQ) methodology, which combines existing approaches to image quality and assesses the perceptual attributes of the viewer using a combination of quantitative and qualitative data. These perceptual attributes reflect different levels of viewer experience [8][9][10][11][12].…”

Section: Interpretation Based Quality Methodologymentioning

confidence: 99%

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Evaluation of stereoscopic image quality for mobile devices using interpretation based quality methodology

et al. 2009

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High-quality stereoscopic image content must be viewable in a variety of visual environments, from 3-D theaters to 3-D mobile devices. Stereoscopic effects, however, are affected by screen size, viewing distance, and other parameters. In this study, the authors focus on the stereoscopic image quality experience of viewing 3-D content on a mobile device in order to compare it with that of viewing 3-D content on a large screen. The stereoscopic image quality experience was evaluated using Interpretation Based Quality (IBQ) methodology, which combines existing approaches to image quality evaluation, such as the paired comparison and interview, and assesses the viewer experience using both quantitative and qualitative data. Five stereoscopic images were used in the experiment. The results of the experiment suggest that the discomfort felt while viewing stereoscopic images on a 3-D mobile device arise from not only visual fatigue but also the effects of the smaller screen size. The study also revealed the types of stereoscopic images that are suitable for viewing on 3-D mobile devices.

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Section: Interpretation Based Quality Methodologymentioning

confidence: 99%

“…The resulting codes are combined with the quantitative data and statistically analyzed. This approach has been successfully applied in studies related to paper quality [8,9], consumer photographs [10], and video camera quality [12], each of which had over one thousand participants.…”

Section: Interpretation Based Quality Methodologymentioning

confidence: 99%

Evaluation of stereoscopic image quality for mobile devices using interpretation based quality methodology

et al. 2009

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“…The approach has been used in defining the subjective quality dimensions related to sharpness changes that mimic the camera lenses , the comparison of digital still [Radun et al 2006] and video cameras [Virtanen et al 2008;Radun et al 2007], print quality with natural image contents [Nyman et al 2005], and stereoscopic image quality Shibata et al 2008]. …”

Section: Introductionmentioning

confidence: 99%

Evaluating the multivariate visual quality performance of image-processing components

Radun

Leisti

Virtanen

et al. 2008

ACM Trans. Appl. Percept.

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The estimation of image quality is a demanding task, especially when estimating different high-quality imaging products or their components. The challenge is the multivariate nature of image quality as well as the need to use naïve observers as test subjects, since they are the actual end-users of the products. Here, we use a subjective approach suitable for estimating the quality performance of different imaging device components with naïve observers-the interpretation-based quality (IBQ) approach. From two studies with 61 naïve observers, 17 natural image contents, and 13 different camera image signal processor pipelines, we determined the subjectively crucial image quality attributes and dimensions and the description of each pipeline's perceived image quality performance. We found that the subjectively most important image quality dimensions were color shift/naturalness, darkness, and sharpness. The first dimension, which was related to naturalness and colors, distinguished the good-quality pipelines from the middle-and low-quality groups, and the dimensions of darkness and sharpness described why the quality failed in the low-quality pipelines. The study suggests that the high-level concept naturalness is a requirement for high-quality images, whereas quality can fail for other reasons in low-quality images, and this failure can be described by low-level concepts, such as darkness and sharpness.

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“…This process is influenced by our knowledge, expectations, and emotions [6,25]. It affects the importance of each sensory attribute and more broadly enables human contextual behavior and active quality interpretation [14,16,[25][26][27] To assess the impact of quality factors on perceived quality, different methods are applied in audiovisual and 3D-related research. Standardized psychoperceptual evaluation methods and their extensions study perceived quality quantitatively [9,12,13,18].…”

Section: Quality Of Experience -3d Video On Mobile Device and Its Evamentioning

confidence: 99%

“…In audio research, assessors' low-level descriptions lists timbral aspects (hissing, metallic [22]; "timbral balance between low-frequency and high-frequency" [22]) and distortions of the sound [22,23]. The combined audiovisual low-level factors emphasize motion, its errors and the synchronization between audio and video, and the balance between the qualities of the two media [16,26].…”

Section: Descriptive Quality Of Experience: From Characteristics Of Smentioning

confidence: 99%

Descriptive quality of experience for mobile 3D video

Jumisko-Pyykkö

Strohmeier

Utriainen

et al. 2010

Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries

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Perceptual quality evaluation experiments are used to assess the excellence of multimedia quality. However, these studies disregard qualitative experiential descriptions, interpretations, and impressions of quality. The goal of this paper is to identify general descriptive characteristics of experienced quality of 3D video on mobile devices. We conducted five studies in which descriptive data was collected after the psychoperceptual quality evaluation experiment. Qualitative semi-structured interviews and written attribute description tasks were conducted with over 90 naïve participants. The experiments contained an extensive and heterogeneous set of produced quality by varying content, level of depth, compression and transmission parameters, and audio and display factors for 3D. The results showed that quality of experience is constructed from four main components, 1) visual quality, 2) viewing experience, 3) content, and 4) quality of other modalities and their interactions.

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Audiovisual quality estimation of mobile phone video cameras with interpretation-based quality approach

Cited by 7 publications

References 0 publications

Evaluation of stereoscopic image quality for mobile devices using interpretation based quality methodology

Evaluation of stereoscopic image quality for mobile devices using interpretation based quality methodology

Evaluating the multivariate visual quality performance of image-processing components

Descriptive quality of experience for mobile 3D video

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