Time-varying Image Quality: Modeling the Relation between Instantaneous and Overall Quality

Hamberg, Roelof; Ridder, de H Huib

doi:10.5594/j04337

Cited by 39 publications

(23 citation statements)

References 12 publications

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“…For 30 s video sequences, Hands and Avons could observe a recency effect (i.e., presenting similar degradations earlier results in a lower impact on retrospective judgments) as well as a duration neglect (i.e., presenting either 5 or 10 s of reduced performance yielded similar retrospective judgments). For video sequences of up to 180 s duration, Hamberg and de Ridder [13] observed a recency effect and a peak effect while varying the duration of impairments from 2 to 10 s. With regard to shorter stimuli, effects on retrospective judgments tend to be unobservable (e.g., Ninassi et al [30] for 8 s video sequences). For (speech) telephony, mainly recency was investigated and observed (e.g., [2,7,8,13,27,34,43]).…”

Section: Perceived Quality Under Varying Performancementioning

confidence: 99%

“…For video sequences of up to 180 s duration, Hamberg and de Ridder [13] observed a recency effect and a peak effect while varying the duration of impairments from 2 to 10 s. With regard to shorter stimuli, effects on retrospective judgments tend to be unobservable (e.g., Ninassi et al [30] for 8 s video sequences). For (speech) telephony, mainly recency was investigated and observed (e.g., [2,7,8,13,27,34,43]). Also a peak effect was observed (e.g., [2,27,43]).…”

Section: Perceived Quality Under Varying Performancementioning

confidence: 99%

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Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

et al. 2017

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The impact of varying performance and its effect on the perceived quality is an important aspect of quality of experience. Especially for service providers, it is important to understand how the perceived quality of a user, who is interacting with their services repeatedly, evolves. Repeateduse of a service is actually common for telecommunication services, such as speech telephony. For telecommunication services, it is very likely that a user encounters varying performance, for example due to varying network load conditions. For repeated-use taking place in a usage period covering several days, initial work on the formation process of the so-called multi-episodic perceived quality (i.e., distinct, meaningful interactions, denoted as usage episodes) has been conducted. In this paper, we present our work investigating the multi-episodic perceived quality for usage episodes taking place in one session (i.e., in a time frame of up to 45 min) with a speech telephony service. We investigate two aspects and their impact on the multi-episodic perceived quality: (a) increasing the number of low performance (LP) usage episodes and (b) varying the temporal position of LP usage episodes towards the assessment of multi-episodic perceived quality. Additionally, the impact of the user's behavioral freedom (i.e., two-party conversation vs. 3rd-party listening) on the two investigated aspects is examined. With regard to (a), the results show that an increasing number of LP usage episodes lead to a reduced multi-episodic perceived quality until saturation is reached. No impact of the user's behavioral freedom was found. For (b), an impact of the varied behavioral freedom was observed. Varying the temporal position had an impact on the multi-episodic perceived quality for two-party conversation. For 3rd-party-listening, this could only be observed in one out of two cases.

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Section: Perceived Quality Under Varying Performancementioning

confidence: 99%

Section: Perceived Quality Under Varying Performancementioning

confidence: 99%

Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

et al. 2017

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“…In modeling, the relation between instantaneous and overall quality [41], we can identify two other phenomena related to the temporal context, namely the human memory effect and the expectation effect. The human memory effect is related to the fact that after a while the human gets used to a certain visual quality thus judging it more acceptable if it persists long enough.…”

Section: B Temporal Artifactsmentioning

confidence: 99%

On Evaluating Video Object Segmentation Quality: A Perceptually Driven Objective Metric

Gelasca

Ebrahimi

2009

IEEE J. Sel. Top. Signal Process.

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Abstract-The task of extracting objects in video sequences emerges in many applications such as object-based video coding (e.g., MPEG-4) and content-based video indexing and retrieval (e.g., MPEG-7). The MPEG-4 standard provides specifications for the coding of video objects, but does not address the problem of how to extract foreground objects in image sequences. Therefore, for specific applications, evaluating the quality of foreground/background segmentation results is necessary to allow for an appropriate selection of segmentation algorithms and for tuning their parameters for optimal performance. Many segmentation algorithms have been proposed along with a number of evaluation criteria. Nevertheless, formal psychophysical experiments evaluating the quality of different video foreground object segmentation results have not yet been conducted. In this paper, a generic framework for both subjective and objective segmentation quality evaluation is presented. An objective quality assessment method for segmentation evaluation is derived on the basis of perceptual factors through subjective experiments. The performance of the proposed method is shown on different state-of-the-art foreground/background segmentation algorithms and our method is compared to other objective methods which do not include perceptual factors. Moreover, on the basis of subjective results, weighting strategies are introduced into the proposed metric to meet the specificity of different segmentation applications e.g., video compression, video surveillance and mixed reality. Experimental results confirm the efficiency of the proposed approach.Index Terms-Foreground/background extraction, mixed reality, objective evaluation, perceptual metric, psychophysical tests, segmentation, subjective quality assessment, video object, video object compression, video surveillance.

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“…There is some evidence that viewers have non-symmetrical memory in that they are quick to criticize degradations in video quality but slow to reward improvements [23].…”

Section: Videomentioning

confidence: 99%

Memory Effects in Subjective Quality Assessment of X-Ray Images

2017

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Abstract. Experiments with human observers is considered as the most precise way for the assessment of image quality. Although widely used, such experiments have its pitfalls and hazards. In this work we investigate if the quality rating of previously viewed images influence the rating given to the current image, which we refer to as the rating memory effect. A subjective experiment with a group of observers rating x-ray images of different radiation dose was used for the basis of the analysis. The results indicate a memory effect, meaning that the rating of an image can be influenced by the ratings given in previously judged images.

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Time-varying Image Quality: Modeling the Relation between Instantaneous and Overall Quality

Cited by 39 publications

References 12 publications

Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

Multi-episodic perceived quality for one session of consecutive usage episodes with a speech telephony service

On Evaluating Video Object Segmentation Quality: A Perceptually Driven Objective Metric

Memory Effects in Subjective Quality Assessment of X-Ray Images

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