BVI-CC: A Dataset for Research on Video Compression and Quality Assessment
The video technology scenery has been very vivid over the past years, with novel video coding technologies introduced that promise improved compression performance over state-of-the-art technologies. Despite the fact that a lot of video datasets are available, representative content of the wide para...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Signal Processing |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frsip.2022.874200/full |
| _version_ | 1819023700930854912 |
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| author | Angeliki Katsenou Fan Zhang Mariana Afonso Goce Dimitrov David R. Bull |
| author_facet | Angeliki Katsenou Fan Zhang Mariana Afonso Goce Dimitrov David R. Bull |
| author_sort | Angeliki Katsenou |
| collection | DOAJ |
| description | The video technology scenery has been very vivid over the past years, with novel video coding technologies introduced that promise improved compression performance over state-of-the-art technologies. Despite the fact that a lot of video datasets are available, representative content of the wide parameter space along with subjective evaluations of variations of encoded content from an unpartial end is required. In response to this requirement, this paper features a dataset, the BVI-CC. Three video codecs were deployed to create the variations of the encoded sequences: High Efficiency Video Coding Test Model (HM), AOMedia Video 1 (AV1), and Versatile Video Coding Test Model (VTM). Nine source video sequences were carefully selected to offer both diversity and representativeness in the spatio-temporal domain. Different spatial resolution versions of the sequences were created and encoded by all three codecs at pre-defined target bit rates. The compression efficiency of the codecs was evaluated with commonly used objective quality metrics, and the subjective quality of their reconstructed content was also evaluated through psychophysical experiments. Additionally, an adaptive bit rate (convex hull rate-distortion optimization across spatial resolutions) test case was assessed using both objective and subjective evaluations. Finally, the computational complexities of the tested codecs were examined. All data have been made publicly available as part of the dataset, which can be used for coding performance evaluation and video quality metric development. |
| first_indexed | 2024-12-21T04:43:04Z |
| format | Article |
| id | doaj.art-b38a8078b2434de8a487868bbccc6cad |
| institution | Directory Open Access Journal |
| issn | 2673-8198 |
| language | English |
| last_indexed | 2024-12-21T04:43:04Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Signal Processing |
| spelling | doaj.art-b38a8078b2434de8a487868bbccc6cad2022-12-21T19:15:39ZengFrontiers Media S.A.Frontiers in Signal Processing2673-81982022-04-01210.3389/frsip.2022.874200874200BVI-CC: A Dataset for Research on Video Compression and Quality AssessmentAngeliki KatsenouFan ZhangMariana AfonsoGoce DimitrovDavid R. Bull The video technology scenery has been very vivid over the past years, with novel video coding technologies introduced that promise improved compression performance over state-of-the-art technologies. Despite the fact that a lot of video datasets are available, representative content of the wide parameter space along with subjective evaluations of variations of encoded content from an unpartial end is required. In response to this requirement, this paper features a dataset, the BVI-CC. Three video codecs were deployed to create the variations of the encoded sequences: High Efficiency Video Coding Test Model (HM), AOMedia Video 1 (AV1), and Versatile Video Coding Test Model (VTM). Nine source video sequences were carefully selected to offer both diversity and representativeness in the spatio-temporal domain. Different spatial resolution versions of the sequences were created and encoded by all three codecs at pre-defined target bit rates. The compression efficiency of the codecs was evaluated with commonly used objective quality metrics, and the subjective quality of their reconstructed content was also evaluated through psychophysical experiments. Additionally, an adaptive bit rate (convex hull rate-distortion optimization across spatial resolutions) test case was assessed using both objective and subjective evaluations. Finally, the computational complexities of the tested codecs were examined. All data have been made publicly available as part of the dataset, which can be used for coding performance evaluation and video quality metric development.https://www.frontiersin.org/articles/10.3389/frsip.2022.874200/fullvideo codec datasetcodec comparisonHEVCAV1VVCobjective quality assessment |
| spellingShingle | Angeliki Katsenou Fan Zhang Mariana Afonso Goce Dimitrov David R. Bull BVI-CC: A Dataset for Research on Video Compression and Quality Assessment Frontiers in Signal Processing video codec dataset codec comparison HEVC AV1 VVC objective quality assessment |
| title | BVI-CC: A Dataset for Research on Video Compression and Quality Assessment |
| title_full | BVI-CC: A Dataset for Research on Video Compression and Quality Assessment |
| title_fullStr | BVI-CC: A Dataset for Research on Video Compression and Quality Assessment |
| title_full_unstemmed | BVI-CC: A Dataset for Research on Video Compression and Quality Assessment |
| title_short | BVI-CC: A Dataset for Research on Video Compression and Quality Assessment |
| title_sort | bvi cc a dataset for research on video compression and quality assessment |
| topic | video codec dataset codec comparison HEVC AV1 VVC objective quality assessment |
| url | https://www.frontiersin.org/articles/10.3389/frsip.2022.874200/full |
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