A bit rate adaptation model for 3D video

Yilmaz, Gokce Nur

doi:10.1007/s11045-014-0299-y

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The motion information is calculated by normalizing the average of the total motion density in a video sequence as follows [75]:…”

Section: Motion Informationmentioning

confidence: 99%

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Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues

Coskun,

Nur Yilmaz,

Battisti

et al. 2023

J. Imaging

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A three-dimensional (3D) video is a special video representation with an artificial stereoscopic vision effect that increases the depth perception of the viewers. The quality of a 3D video is generally measured based on the similarity to stereoscopic vision obtained with the human vision system (HVS). The reason for the usage of these high-cost and time-consuming subjective tests is due to the lack of an objective video Quality of Experience (QoE) evaluation method that models the HVS. In this paper, we propose a hybrid 3D-video QoE evaluation method based on spatial resolution associated with depth cues (i.e., motion information, blurriness, retinal-image size, and convergence). The proposed method successfully models the HVS by considering the 3D video parameters that directly affect depth perception, which is the most important element of stereoscopic vision. Experimental results show that the measurement of the 3D-video QoE by the proposed hybrid method outperforms the widely used existing methods. It is also found that the proposed method has a high correlation with the HVS. Consequently, the results suggest that the proposed hybrid method can be conveniently utilized for the 3D-video QoE evaluation, especially in real-time applications.

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“…The motion information is calculated by normalizing the average of the total motion density in a video sequence as follows [75]:…”

Section: Motion Informationmentioning

confidence: 99%

“…where M is the motion information, i is the number of frames, f is the total number of frames, Π(i) is the motion density of the i-th video frame, F is the frame rate, and S is the spatial resolution. Π(i) is calculated according to the following equation [75]:…”

Section: Motion Informationmentioning

confidence: 99%

Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues

Coskun,

Nur Yilmaz,

Battisti

et al. 2023

J. Imaging

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3D Video Quality Evaluation Based on SSIM Model Improvement

Yilmaz

Akar²

2021

2021 6th International Conference on Computer Science and Engineering (UBMK)

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SSIM Modelin Geliştirilmesine Dayanan Bir 3B Video Kalite Değerlendirme Metriği

Akleylek

Akar

2022

Türkiye Bilişim Vakfı Bilgisayar Bilimleri Ve Mühendisliği Dergisi

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Günümüzdeki en revaçta araştırma alanlarından birisi kullanıcılara gelişmiş çoklu-ortam servisleri sağlayabilmek adına 3 Boyutlu (3B) video Kalite Deneyimini (KD) etkin olarak tahmin eden objektif metriklerin geliştirilmesidir. Fakat, literatürde standartlaşmış ve yaygın kullanılan bir metrik henüz bulunmamaktadır. Bu yüzden, Structural SIMilarity Index (SSIM) gibi 2 Boyutlu (2B) video kalite ölçümünde sıklıkla kullanılan metrikler 3B video kalite ölçümünde de kullanılmaktadır. Ancak bu metrikler İnsan Görme Sitemini (İGS) etkileyen 3B video bağlantılı özellikleri içermedikleri için güvenilir 3B video kalite ölçümü sağlamaktan oldukça uzaktırlar. Bunları göz önüne alarak, bu çalışmada, SSIM, zıtlık, hareket ve yapısal bilgi karakteristikleri gibi İGS’yi etkileyen 3B video özellikleri ile geliştirilmiştir. Geliştirilen SSIM metriği kullanılarak elde edilen sonuçlar, bu metriğin gelişmiş çoklu-ortam servisleri sağlayabilmek açısından etkinliğini kanıtlamaktadır.

show abstract

A bit rate adaptation model for 3D video

Cited by 3 publications

References 13 publications

Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues

Measuring 3D Video Quality of Experience (QoE) Using A Hybrid Metric Based on Spatial Resolution and Depth Cues

3D Video Quality Evaluation Based on SSIM Model Improvement

SSIM Modelin Geliştirilmesine Dayanan Bir 3B Video Kalite Değerlendirme Metriği

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