On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios
When comparing the performance of video coding approaches, evaluating different commercial video encoders, or measuring the perceived video quality in a wireless environment, Rate/distortion analysis is commonly used, where distortion is usually measured in terms of PSNR values. However, PSNR does n...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/743604 |
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| _version_ | 1841524476052766720 |
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| author | Miguel O. Martínez-Rach Pablo Piñol Otoniel M. López Manuel Perez Malumbres José Oliver Carlos Tavares Calafate |
| author_facet | Miguel O. Martínez-Rach Pablo Piñol Otoniel M. López Manuel Perez Malumbres José Oliver Carlos Tavares Calafate |
| author_sort | Miguel O. Martínez-Rach |
| collection | DOAJ |
| description | When comparing the performance of video coding approaches, evaluating different commercial video encoders, or measuring the perceived video quality in a wireless environment, Rate/distortion analysis is commonly used, where distortion is usually measured in terms of PSNR values. However, PSNR does not always capture the distortion perceived by a human being. As a consequence, significant efforts have focused on defining an objective video quality metric that is able to assess quality in the same way as a human does. We perform a study of some available objective quality assessment metrics in order to evaluate their behavior in two different scenarios. First, we deal with video sequences compressed by different encoders at different bitrates in order to properly measure the video quality degradation associated with the encoding system. In addition, we evaluate the behavior of the quality metrics when measuring video distortions produced by packet losses in mobile ad hoc network scenarios with variable degrees of network congestion and node mobility. Our purpose is to determine if the analyzed metrics can replace the PSNR while comparing, designing, and evaluating video codec proposals, and, in particular, under video delivery scenarios
characterized by bursty and frequent packet losses, such as wireless multihop environments. |
| format | Article |
| id | doaj-art-9e07c228deac472b9b9a9d5fefb83d93 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-9e07c228deac472b9b9a9d5fefb83d932025-02-03T05:53:06ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/743604743604On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss ScenariosMiguel O. Martínez-Rach0Pablo Piñol1Otoniel M. López2Manuel Perez Malumbres3José Oliver4Carlos Tavares Calafate5Department of Physics and Computer Engineering, the Miguel Hernández University, Avenida de Universidad s/n, Elche, 03202 Alicante, SpainDepartment of Physics and Computer Engineering, the Miguel Hernández University, Avenida de Universidad s/n, Elche, 03202 Alicante, SpainDepartment of Physics and Computer Engineering, the Miguel Hernández University, Avenida de Universidad s/n, Elche, 03202 Alicante, SpainDepartment of Physics and Computer Engineering, the Miguel Hernández University, Avenida de Universidad s/n, Elche, 03202 Alicante, SpainDepartment of Computer Engineering, Polytechnic University of Valencia, Camino de Vera s/n, Building G1, 46022 Valencia, SpainDepartment of Computer Engineering, Polytechnic University of Valencia, Camino de Vera s/n, Building G1, 46022 Valencia, SpainWhen comparing the performance of video coding approaches, evaluating different commercial video encoders, or measuring the perceived video quality in a wireless environment, Rate/distortion analysis is commonly used, where distortion is usually measured in terms of PSNR values. However, PSNR does not always capture the distortion perceived by a human being. As a consequence, significant efforts have focused on defining an objective video quality metric that is able to assess quality in the same way as a human does. We perform a study of some available objective quality assessment metrics in order to evaluate their behavior in two different scenarios. First, we deal with video sequences compressed by different encoders at different bitrates in order to properly measure the video quality degradation associated with the encoding system. In addition, we evaluate the behavior of the quality metrics when measuring video distortions produced by packet losses in mobile ad hoc network scenarios with variable degrees of network congestion and node mobility. Our purpose is to determine if the analyzed metrics can replace the PSNR while comparing, designing, and evaluating video codec proposals, and, in particular, under video delivery scenarios characterized by bursty and frequent packet losses, such as wireless multihop environments.http://dx.doi.org/10.1155/2014/743604 |
| spellingShingle | Miguel O. Martínez-Rach Pablo Piñol Otoniel M. López Manuel Perez Malumbres José Oliver Carlos Tavares Calafate On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios The Scientific World Journal |
| title | On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios |
| title_full | On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios |
| title_fullStr | On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios |
| title_full_unstemmed | On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios |
| title_short | On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios |
| title_sort | on the performance of video quality assessment metrics under different compression and packet loss scenarios |
| url | http://dx.doi.org/10.1155/2014/743604 |
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