{"title":"3D网格编码与预定义的兴趣区域","authors":"Jonas El Sayeh Khalil, A. Munteanu, P. Lambert","doi":"10.1109/ICIP.2017.8296516","DOIUrl":null,"url":null,"abstract":"We introduce a novel functionality for wavelet-based irregular mesh codecs which allows for prioritizing at the encoding side a region-of-interest (ROI) over a background (BG), and for transmitting the encoded data such that the quality in these regions increases first. This is made possible by appropriately scaling wavelet coefficients. To improve the decoded geometry in the BG, we propose an ROI-aware inverse wavelet transform which only upscales the connectivity in the required regions. Results show clear bitrate and vertex savings. For a trivial front-back selection of the ROI and BG, rendering from the front saves up to 5 bits per vertex and up to 50% of the geometry, while appearing visually lossless.","PeriodicalId":229602,"journal":{"name":"2017 IEEE International Conference on Image Processing (ICIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"3D Mesh coding with predefined region-of-interest\",\"authors\":\"Jonas El Sayeh Khalil, A. Munteanu, P. Lambert\",\"doi\":\"10.1109/ICIP.2017.8296516\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce a novel functionality for wavelet-based irregular mesh codecs which allows for prioritizing at the encoding side a region-of-interest (ROI) over a background (BG), and for transmitting the encoded data such that the quality in these regions increases first. This is made possible by appropriately scaling wavelet coefficients. To improve the decoded geometry in the BG, we propose an ROI-aware inverse wavelet transform which only upscales the connectivity in the required regions. Results show clear bitrate and vertex savings. For a trivial front-back selection of the ROI and BG, rendering from the front saves up to 5 bits per vertex and up to 50% of the geometry, while appearing visually lossless.\",\"PeriodicalId\":229602,\"journal\":{\"name\":\"2017 IEEE International Conference on Image Processing (ICIP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Image Processing (ICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2017.8296516\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2017.8296516","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We introduce a novel functionality for wavelet-based irregular mesh codecs which allows for prioritizing at the encoding side a region-of-interest (ROI) over a background (BG), and for transmitting the encoded data such that the quality in these regions increases first. This is made possible by appropriately scaling wavelet coefficients. To improve the decoded geometry in the BG, we propose an ROI-aware inverse wavelet transform which only upscales the connectivity in the required regions. Results show clear bitrate and vertex savings. For a trivial front-back selection of the ROI and BG, rendering from the front saves up to 5 bits per vertex and up to 50% of the geometry, while appearing visually lossless.