Hangpu Cao, Xiaowen Liu, Yida Wang, Yuting Li, Weimin Lei
{"title":"基于残差补偿的增强下/上采样视频编码","authors":"Hangpu Cao, Xiaowen Liu, Yida Wang, Yuting Li, Weimin Lei","doi":"10.1109/ICCCS49078.2020.9118561","DOIUrl":null,"url":null,"abstract":"Down/up-sampling-based video coding is an effective strategy to cope with limited bandwidth for transmission. In recent years, CNN-based super-resolution methods have also been integrated into the above coding strategy. However, it raises a problem of how to balance the calculation and reconstruction quality. In order to alleviate this problem, we propose an enhanced down/up-sampling-based video coding scheme, in which residual data is used to compensate the unrecovered details of the reconstructed video. We first down-sample the video prior to encoding at the encoder and then obtain the residual data by subtracting the super-resolution reconstructed video frame from the original video frame. The residual data is encoded and transmitted together with the low-resolution video sequence. The decoder first reconstructs the encoded low-resolution video with CNN-based super resolution method, and then uses residual data to compensate the missing details of the reconstructed video. To further enhance the perceived quality, we use a quality enhancement network to enhance the quality-compensated video. The experimental results show that the proposed scheme achieves superior quality improvement compared with HEVC anchor and the general down/up-sampling schemes.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Enhanced Down/Up-Sampling-Based Video Coding Using the Residual Compensation\",\"authors\":\"Hangpu Cao, Xiaowen Liu, Yida Wang, Yuting Li, Weimin Lei\",\"doi\":\"10.1109/ICCCS49078.2020.9118561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Down/up-sampling-based video coding is an effective strategy to cope with limited bandwidth for transmission. In recent years, CNN-based super-resolution methods have also been integrated into the above coding strategy. However, it raises a problem of how to balance the calculation and reconstruction quality. In order to alleviate this problem, we propose an enhanced down/up-sampling-based video coding scheme, in which residual data is used to compensate the unrecovered details of the reconstructed video. We first down-sample the video prior to encoding at the encoder and then obtain the residual data by subtracting the super-resolution reconstructed video frame from the original video frame. The residual data is encoded and transmitted together with the low-resolution video sequence. The decoder first reconstructs the encoded low-resolution video with CNN-based super resolution method, and then uses residual data to compensate the missing details of the reconstructed video. To further enhance the perceived quality, we use a quality enhancement network to enhance the quality-compensated video. The experimental results show that the proposed scheme achieves superior quality improvement compared with HEVC anchor and the general down/up-sampling schemes.\",\"PeriodicalId\":105556,\"journal\":{\"name\":\"2020 5th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"144 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCS49078.2020.9118561\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS49078.2020.9118561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhanced Down/Up-Sampling-Based Video Coding Using the Residual Compensation
Down/up-sampling-based video coding is an effective strategy to cope with limited bandwidth for transmission. In recent years, CNN-based super-resolution methods have also been integrated into the above coding strategy. However, it raises a problem of how to balance the calculation and reconstruction quality. In order to alleviate this problem, we propose an enhanced down/up-sampling-based video coding scheme, in which residual data is used to compensate the unrecovered details of the reconstructed video. We first down-sample the video prior to encoding at the encoder and then obtain the residual data by subtracting the super-resolution reconstructed video frame from the original video frame. The residual data is encoded and transmitted together with the low-resolution video sequence. The decoder first reconstructs the encoded low-resolution video with CNN-based super resolution method, and then uses residual data to compensate the missing details of the reconstructed video. To further enhance the perceived quality, we use a quality enhancement network to enhance the quality-compensated video. The experimental results show that the proposed scheme achieves superior quality improvement compared with HEVC anchor and the general down/up-sampling schemes.