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DC Field | Value | Language |
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dc.contributor.author | Galea, Christian | - |
dc.contributor.author | Farrugia, Reuben A. | - |
dc.date.accessioned | 2017-11-16T11:20:45Z | - |
dc.date.available | 2017-11-16T11:20:45Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Galea, C., & Farrugia, R. A. (2015). A no-reference video quality metric using a natural video statistical model. EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), Salamanca. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar//handle/123456789/23939 | - |
dc.description.abstract | The demand for high quality multimedia content is increasing rapidly, which has resulted in service providers employing Quality of Service (QoS) strategies to monitor the quality of delivered content. However, the QoS parameters commonly used do not correlate well with the actual quality perceived by the end-users. Numerous objective video quality assessment (VQA) metrics have been proposed to address this problem. However, most of these metrics rely on the availability of additional information from the original undistorted video to perform adequately, which will increase the bandwidth required. This paper presents a No-Reference (NR) VQA algorithm, which extracts a Natural Video Statistical Model using both spatial and temporal features to model the quality experienced by the end-users without needing additional information from the transmitter. These features are based on the observation that the statistics of natural scenes are regular on pristine content but are significantly altered in the presence of distortion. The proposed method achieves a Spearman Rank Order Correlation Coefficient (SROCC) of 0.8161 with subjective data, which is statistically identical and sometimes superior to existing state-of-the-art full and reduced reference VQA metrics. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Quality of service (Computer networks) | en_GB |
dc.subject | High definition video recording -- Quality control | en_GB |
dc.title | A no-reference video quality metric using a natural video statistical model | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | EUROCON 2015 - International Conference on Computer as a Tool (EUROCON) | en_GB |
dc.bibliographicCitation.conferenceplace | Salamanca, Spain, 08-11/09/2015 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/EUROCON.2015.7313754 | - |
Appears in Collections: | Scholarly Works - FacICTCCE |
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OA111 (4).pdf | 375.45 kB | Adobe PDF | View/Open |
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