A parametric video quality model based on source and network characteristics
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Tarih
2014
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The increasing demand for streaming video raises the need for flexible and easily implemented Video Quality Assessment (VQA) metrics. Although there are different VQA metrics, most of these are either Full-Reference (FR) or Reduced-Reference (RR). Both FR and RR metrics bring challenges for on-the-fly multimedia systems due to the necessity of additional network traffic for reference data. No-eference (NR) video metrics, on the other hand, as the name suggests, are much more flexible for user-end applications. This introduces a need for robust and efficient NR VQA metrics. In this paper, an NR VQA metric considering spatiotemporal information, bit rate, and packet loss rate characteristics of a video content is proposed. The proposed metric is evaluated on EPFL-PoliMI dataset, which includes different video content characteristics. The experimental results show that the proposed metric is a robust and accurate NR VQA metric towards diverse video content characteristics.
Açıklama
IEEE International Conference on Image Processing (ICIP) -- OCT 27-30, 2014 -- Paris, FRANCE
B. Akar, Gozde/0000-0002-4227-5606; NUR YILMAZ, Gokce/0000-0002-0015-9519
B. Akar, Gozde/0000-0002-4227-5606; NUR YILMAZ, Gokce/0000-0002-0015-9519
Anahtar Kelimeler
Quality of experience (QoE), no-reference metric, video quality assessment (VQA), network condition, video characteristics
Kaynak
2014 Ieee International Conference On Image Processing (Icip)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
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Künye
closedAccess
