Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Comparative Study on No-Reference Video Quality Assessment Metrics
Date
2014-04-25
Author
Zerman, Emin
Akar, Gözde
Konuk, Baris
NUR YILMAZ, GÖKÇE
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
188
views
0
downloads
Cite This
In the last two decades the Internet technology has boosted and the connection speeds have been incrased from kilobits to hundred megabits scale. With the rising coverage of the Internet and the usage of mobile devices such as tablets and smart phones, the usage of social media and especially multimedia elements has been increased rapidly. This increment in streaming multimedia created a need for the assessment of the user experience on multimedia and especially video. Even though there are different Video Quality Assessment (VQA) methods for that purpose, most of them are Full-Reference (FR) or Reduced-Reference (RR). In today's world with many mobile devices, the application of these methods are not possible since they need the reference data. The No-Reference (NR) video metrics are much more suitable for the case. In this paper, the main objective is to evaluate a previously proposed NR VQA metric with a new dataset and to compare the results to other high-performance NR metrics such as G.1070 and G.1070E which do not utilize spatial and temporal characteristics of a given video sequence. Evaluation and comparison results show the accuracy and robustness of the proposed metric.
Subject Keywords
No-reference metric
,
Video quality assessment (VQA)
,
Video characteristics
,
Quality of experience (QoE)
,
Network condition
URI
https://hdl.handle.net/11511/53990
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
An accurate evaluation of machine learning algorithms for flow-based P2P traffic detection
Soysal, Murat; Schmidt, Şenan Ece (2007-12-01)
Today, peer-to-peer (P2P) traffic consumes the largest fraction of network bandwidth. The files shared by P2P communications are mostly copyright protected, and there are issues related to Quality of Service (QoS) support and billing of P2P traffic. Hence, scalable and accurate detection of peer-to-peer (P2P) traffic is a significant problem for network service providers. Flow-based detection methods employ characteristics of data flows such as the number of packets per flow to classify P2P and non-P2P traf...
Impact of scalability in video transmission in promotion-capable differentiated services networks
Gurses, E; Akar, Gözde; Akar, N (2002-09-25)
Transmission of high quality video over the Internet faces many challanges including unpredictable packet loss characteristics of the current Internet and the heterogeneity of receivers in terms of their bandwidth and processing capabilities. To address these challanges, we propose an architecture in this paper that is based on the temporally scalable and error resilient video coding mode of the H.263+ codec. In this architecture, the video frames will be transported over a new generation IP network that su...
A PARAMETRIC VIDEO QUALITY MODEL BASED ON SOURCE AND NETWORK CHARACTERISTICS
Zerman, Emin; Konuk, Baris; NUR YILMAZ, GÖKÇE; Akar, Gözde (2014-10-30)
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 applicatio...
A SPATIOTEMPORAL NO-REFERENCE VIDEO QUALITY ASSESSMENT MODEL
Konuk, Baris; Zerman, Emin; NUR YILMAZ, GÖKÇE; Akar, Gözde (2013-09-18)
Many researchers have been developing objective video quality assessment methods due to increasing demand for perceived video quality measurement results by end users to speed-up advancements of multimedia services. However, most of these methods are either Full-Reference (FR) metrics, which require the original video or Reduced-Reference (RR) metrics, which need some features extracted from the original video. No-Reference (NR) metrics, on the other hand, do not require any information about the original v...
A Theoretical Performance Bound for Joint Beamformer Design of Wireless Fronthaul and Access Links in Downlink C-RAN
Kadan, Fehmi Emre; Yılmaz, Ali Özgür (2021-01-01)
It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution to this problem is to use the multi-cell cooperation idea. In Cloud Radio Access Network (C-RAN), which is a candidate solution in 5G and future communication networks, cooperation is applied by means of central processors (CPs) connected to simple remote radio heads with finite capacity fronthaul links. In this study, we consider a downlink C-RAN with a wireless fronthaul and aim to m...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Zerman, G. Akar, B. Konuk, and G. NUR YILMAZ, “A Comparative Study on No-Reference Video Quality Assessment Metrics,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53990.