Perceptual Effects of Noise in Digital Video Compression

Fenimore, C.P.; Libert, John M.; Wolf, Stephen J.

doi:10.5594/m00301

Cited by 14 publications

(4 citation statements)

References 2 publications

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“…The single value for the PVS chunk was obtained by calculating the mean over the all values. We also added temporal and spatial activity/information metrics called SA and TA or SI and TI [12]. Those metrics helps in the context characterization even if they are calculated on the distorted sequences, which is out of scope of the original use-case.…”

Section: Predicting Vqmmentioning

confidence: 99%

Modeling of Quality of Experience in No-Reference Model

Nawała

Janowski

Leszczuk³

2017

JTIT

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The key objective of no-reference (NR) visual metrics is to predict the end-user experience concerning remotely delivered video content. Rapidly increasing demand for easily accessible, high quality video material makes it crucial for service providers to test the user experience without the need for comparison with reference material. Nevertheless, the QoE measurement is not enough. The information about the source or error is very important as well. Therefore, the described system is based on calculating numerous different NR indicators, which are combined to provide the overall quality score. In this paper, more quality indicators than are used in the QoE calculation are described, since some of them detect specific errors. Such specific errors are dificult to include in a global QoE model but are important from the operation point of view.

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Section: Predicting Vqmmentioning

confidence: 99%

Modeling of Quality of Experience in No-Reference Model

Nawała

Janowski

Leszczuk³

2017

JTIT

View full text Add to dashboard Cite

show abstract

“…The key parameters describing any video sequence characteristics are spatial and temporal information, i.e., the number of details and the movement dynamics respectively. In order to make the selection task easier, the authors use a scene complexity measure [14]. Scene complexity is a function of both spatial and temporal information which provides information on how difficult a given video sequence is to encode.…”

Section: Measurement Of Video Content Characteristicsmentioning

confidence: 99%

“…The question how to measure all these content characteristics remains open. This paper utilizes a method presented in [14] where scene complexity o is defined as…”

Section: Measurement Of Video Content Characteristicsmentioning

confidence: 99%