Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks
The paper presents a video quality metric designed for the H.264/AVC codec. The metric operates directly on the encoded H.264/AVC bit stream, parses the encoding parameters and processes them using an artificial neural network. The network is designed to estimate peak signal-to-noise ratios of the v...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2008-09-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | http://www.radioeng.cz/fulltexts/2008/08_03_103_108.pdf |
| _version_ | 1819315733333540864 |
|---|---|
| author | V. Ricny M. Slanina |
| author_facet | V. Ricny M. Slanina |
| author_sort | V. Ricny |
| collection | DOAJ |
| description | The paper presents a video quality metric designed for the H.264/AVC codec. The metric operates directly on the encoded H.264/AVC bit stream, parses the encoding parameters and processes them using an artificial neural network. The network is designed to estimate peak signal-to-noise ratios of the video sequence frames, thus enabling computation of full reference objective quality metric values without having the undistorted video material prior to encoding for comparison. We present the metric framework and test its performance for LDTV (low definition television) as well as HDTV (high definition television) video material. |
| first_indexed | 2024-12-24T10:04:48Z |
| format | Article |
| id | doaj.art-e8fb5b44b9a449bc844a3fec63253523 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-24T10:04:48Z |
| publishDate | 2008-09-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-e8fb5b44b9a449bc844a3fec632535232022-12-21T17:00:53ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122008-09-01173103108Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural NetworksV. RicnyM. SlaninaThe paper presents a video quality metric designed for the H.264/AVC codec. The metric operates directly on the encoded H.264/AVC bit stream, parses the encoding parameters and processes them using an artificial neural network. The network is designed to estimate peak signal-to-noise ratios of the video sequence frames, thus enabling computation of full reference objective quality metric values without having the undistorted video material prior to encoding for comparison. We present the metric framework and test its performance for LDTV (low definition television) as well as HDTV (high definition television) video material.www.radioeng.cz/fulltexts/2008/08_03_103_108.pdfH.264/AVCvideo qualityobjective quality metricHDTVartificial neural network |
| spellingShingle | V. Ricny M. Slanina Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks Radioengineering H.264/AVC video quality objective quality metric HDTV artificial neural network |
| title | Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks |
| title_full | Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks |
| title_fullStr | Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks |
| title_full_unstemmed | Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks |
| title_short | Estimating PSNR in High Definition H.264/AVC Video Sequences Using Artificial Neural Networks |
| title_sort | estimating psnr in high definition h 264 avc video sequences using artificial neural networks |
| topic | H.264/AVC video quality objective quality metric HDTV artificial neural network |
| url | http://www.radioeng.cz/fulltexts/2008/08_03_103_108.pdf |
| work_keys_str_mv | AT vricny estimatingpsnrinhighdefinitionh264avcvideosequencesusingartificialneuralnetworks AT mslanina estimatingpsnrinhighdefinitionh264avcvideosequencesusingartificialneuralnetworks |