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Objective Perceptual Video Quality Prediction Using Spatial and Temporal Information Differences
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datavetenskap.
2019 (Engelska)Ingår i: Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, s. 436-441Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

In this paper, objective perceptual video quality models are proposed that use spatial and temporal perceptual information differences for predicting video quality as perceived by human observers. Spatial perceptual information characterizes the complexity and temporal perceptual information quantifies the motion contained in a video. As such, differences in the spatial and temporal perceptual information of a reference video (original) and test video (processed) may be used to predict quality of videos that have undergone encoding, transmission, or other processing. In particular, several video quality prediction functions are derived using curve fitting along with training and validation on data from a publicly available annotated database. The obtained functions provide predicted mean opinion scores as a measure of perceptual quality subject to spatial and temporal perceptual information differences. The analysis of the video quality prediction performance of the proposed models shows that differences in spatial and temporal perceptual information can be used for objective video quality prediction. © 2019 IEEE.

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc. , 2019. s. 436-441
Nyckelord [en]
mean opinion score, objective video quality, quality prediction performance, Spatial perceptual information, temporal perceptual information, video quality prediction, Curve fitting, Forecasting, Mean opinion scores, Perceptual information, Quality prediction, Video quality, Information use
Nationell ämneskategori
Telekommunikation Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:bth-19048DOI: 10.1109/ISCIT.2019.8905186Scopus ID: 2-s2.0-85076234417ISBN: 9781728150093 (tryckt)OAI: oai:DiVA.org:bth-19048DiVA, id: diva2:1381695
Konferens
19th International Symposium on Communications and Information Technologies, ISCIT, Ho Chi Minh City, 25 September 2019 through 27 September 2019
Tillgänglig från: 2019-12-27 Skapad: 2019-12-27 Senast uppdaterad: 2019-12-27Bibliografiskt granskad

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Zepernick, Hans-JuergenChu, Thi My ChinhSundstedt, Veronica

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Elwardy, MajedZepernick, Hans-JuergenChu, Thi My ChinhSundstedt, Veronica
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