{"title":"Content-Based Scalable Multi-View Video Coding Using 4D Wavelet","authors":"Y. Lai, Qian Wang, Yin Gao","doi":"10.14257/IJHIT.2017.10.8.07","DOIUrl":null,"url":null,"abstract":"Most existing scalable multi-view video coding (SMVC) can provide temporal, spatial, SNR as well as view scalabilities, but not support content scalability. In this paper, a region of interest (ROI) coding is developed for scalable multi-view video codec to show the high scaling capability in terms of content scalability. The key component of this algorithm is that the bit-planes of the ROI can be lifted according to users’ requirements. And in this way the ROI can be allocated more bits even at low bit-rate and can secure more bits to get a better visual quality. As a result of our experiments, the peak signal to noise ratio (PSNR) within ROI can be improved by 2~4dB and the subjective visual quality of ROI in the proposed scheme can be improved compared to the conventional SMVC algorithm.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Hybrid Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14257/IJHIT.2017.10.8.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Most existing scalable multi-view video coding (SMVC) can provide temporal, spatial, SNR as well as view scalabilities, but not support content scalability. In this paper, a region of interest (ROI) coding is developed for scalable multi-view video codec to show the high scaling capability in terms of content scalability. The key component of this algorithm is that the bit-planes of the ROI can be lifted according to users’ requirements. And in this way the ROI can be allocated more bits even at low bit-rate and can secure more bits to get a better visual quality. As a result of our experiments, the peak signal to noise ratio (PSNR) within ROI can be improved by 2~4dB and the subjective visual quality of ROI in the proposed scheme can be improved compared to the conventional SMVC algorithm.