Evaluation of video quality metrics on transmission distortions in H.264 coded video

Sedano, Inigo; Kihl, Maria; Brunnström, Kjell; Aurelius, Andreas

doi:10.1109/bmsb.2011.5954960

Cited by 7 publications

(4 citation statements)

References 5 publications

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“…Typically, the design goal for video quality metrics is to provide good performance across different types of distortions, compression noise and transmission errors in particular. All the well-known objective Full-Reference (FR) video quality metrics, such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM) [32], Video Quality Metric (VQM) [33] and MOVIE [34] have been extensively tested with video sequences including also packet loss artifacts [30], [35]- [38]. There is evidence that many objective FR metrics are not capable to predict the perceptual impact of compression and channel artifacts equally well [35]- [37]; however, the best metrics usually achieve acceptable results in scenarios where different artifacts are present [35], [38].…”

Section: Objective Assessment Of Packet Loss Artifactsmentioning

confidence: 99%

Study of the Subjective Visibility of Packet Loss Artifacts in Decoded Video Sequences

Korhonen

2018

IEEE Trans. on Broadcast.

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Packet loss is a significant cause of visual impairments in video broadcasting over packet-switched networks. There are several subjective and objective video quality assessment methods focused on the overall perception of video quality. However, less attention has been paid on the visibility of packet loss artifacts appearing in spatially and temporally limited regions of a video sequence. In this paper, we present the results of a subjective study, using a methodology where a video sequence is displayed on a touchscreen and the users tap it in the positions where they observe artifacts. We also analyze the objective features derived from those artifacts, and propose different models for combining those features into an objective metric for assessing the noticeability of the artifacts. The practical results show that the proposed metric predicts visibility of packet loss impairments with a reasonable accuracy. The proposed method can be applied for developing packetization and error recovery schemes to minimize the subjectively experienced distortion in error-prone networked video systems.

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Section: Objective Assessment Of Packet Loss Artifactsmentioning

confidence: 99%

Study of the Subjective Visibility of Packet Loss Artifacts in Decoded Video Sequences

Korhonen

2018

IEEE Trans. on Broadcast.

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“…Various quality measures were proposed and investigated regarding their prediction performance [1], [2], [3], [4]. A lot of studies concentrated on standard definition video material in the past.…”

Section: Introductionmentioning

confidence: 99%

About the imperfection of objective quality metrics on high-definition video content

Wulf¹,

Zölzer²

2013

2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)

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Due to the ever-growing importance of video content delivered through today's Internet, not only the availability of high-definition video material but also its high quality must be guaranteed. The latter can be achieved by means of objective video quality metrics. Recently, insufficient quality prediction accuracy for well-known full-reference objective quality metrics on high-definition video content has been reported. With this paper we aim at identifying possible reasons for the observed imperfection.

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“…This means that the work in this paper is applicable to cases with these conditions, such as, e.g., IPTV cases. This is an extention of the study done in [15]. The databases considered are EPFL-PoliMI (Ecole Polytechnique Fédérale de Lausanne and Politecnico di Milano) video quality assessment database [16][17][18], an HDTV video database made available by IRCCyN [19] and the LIVE Wireless Video Quality Assessment database [20].…”

Section: Video Databasesmentioning

confidence: 99%

Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring

et al. 2014

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High-quality video is being increasingly delivered over Internet Protocol networks, which means that network operators and service providers need methods to measure the quality of experience (QoE) of the video services. In this paper, we propose a method to speed up the development of no-reference bitstream objective metrics for estimating QoE. This method uses full-reference objective metrics, which makes the process significantly faster and more convenient than using subjective tests. In this process, we have evaluated six publicly available full-reference objective metrics in three different databases, the EPFL-PoliMI database, the HDTV database, and the Live Video Wireless database, all containing transmission distortions in H.264 coded video. The objective metrics could be used to speed up the development process of no-reference real-time video QoE monitoring methods that are receiving great interest from the research community. We show statistically that the full-reference metric Video Quality Metric (VQM) performs best considering all the databases. In the EPFL-PoliMI database, SPATIAL MOVIE performed best and TEMPORAL MOVIE performed worst. When transmission distortions are evaluated, using the compressed video as the reference provides greater accuracy than using the uncompressed original video as the reference, at least for the studied metrics. Further, we use VQM to train a lightweight no-reference bitstream model, which uses the packet loss rate and the interval between instantaneous decoder refresh frames, both easily accessible in a video quality monitoring system.

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Evaluation of video quality metrics on transmission distortions in H.264 coded video

Cited by 7 publications

References 5 publications

Study of the Subjective Visibility of Packet Loss Artifacts in Decoded Video Sequences

Study of the Subjective Visibility of Packet Loss Artifacts in Decoded Video Sequences

About the imperfection of objective quality metrics on high-definition video content

Full-reference video quality metric assisted the development of no-reference bitstream video quality metrics for real-time network monitoring

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