{"title":"基于运动分布的视频编码动态纹理合成","authors":"Olena Chubach, Patrick Garus, M. Wien, J. Ohm","doi":"10.1109/PCS.2018.8456271","DOIUrl":null,"url":null,"abstract":"In this paper, a new approach for an improved video coding scheme is presented, which combines hybrid video coding and texture synthesis based on motion distribution statistics. Considering that the utilized texture synthesis approach provides high-quality visual results, while it is developed only for synthe- sizing the identified dynamic textures within a certain area, a new framework is presented, which allows to identify of areas for synthesis and combine conventional coding with synthesis. Also, a new representation and compression of synthesis parameters is presented, which is required due to the updated coding structure. When combining the proposed approach with conventional en- coder (HEVC reference software, HM 16.6), significantly reduced bit rates of the compressed video sequences with the texture replaced can be obtained. Moreover, because the synthesized textures have similar perceptual characteristics to those of the original textures, the video sequences with the texture replaced are also visually similar to the original sequences. Video results are provided online to allow assessing the visual quality of the tested content.","PeriodicalId":433667,"journal":{"name":"2018 Picture Coding Symposium (PCS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Motion-Distribution based Dynamic Texture Synthesis for Video Coding\",\"authors\":\"Olena Chubach, Patrick Garus, M. Wien, J. Ohm\",\"doi\":\"10.1109/PCS.2018.8456271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new approach for an improved video coding scheme is presented, which combines hybrid video coding and texture synthesis based on motion distribution statistics. Considering that the utilized texture synthesis approach provides high-quality visual results, while it is developed only for synthe- sizing the identified dynamic textures within a certain area, a new framework is presented, which allows to identify of areas for synthesis and combine conventional coding with synthesis. Also, a new representation and compression of synthesis parameters is presented, which is required due to the updated coding structure. When combining the proposed approach with conventional en- coder (HEVC reference software, HM 16.6), significantly reduced bit rates of the compressed video sequences with the texture replaced can be obtained. Moreover, because the synthesized textures have similar perceptual characteristics to those of the original textures, the video sequences with the texture replaced are also visually similar to the original sequences. Video results are provided online to allow assessing the visual quality of the tested content.\",\"PeriodicalId\":433667,\"journal\":{\"name\":\"2018 Picture Coding Symposium (PCS)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Picture Coding Symposium (PCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PCS.2018.8456271\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Picture Coding Symposium (PCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2018.8456271","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion-Distribution based Dynamic Texture Synthesis for Video Coding
In this paper, a new approach for an improved video coding scheme is presented, which combines hybrid video coding and texture synthesis based on motion distribution statistics. Considering that the utilized texture synthesis approach provides high-quality visual results, while it is developed only for synthe- sizing the identified dynamic textures within a certain area, a new framework is presented, which allows to identify of areas for synthesis and combine conventional coding with synthesis. Also, a new representation and compression of synthesis parameters is presented, which is required due to the updated coding structure. When combining the proposed approach with conventional en- coder (HEVC reference software, HM 16.6), significantly reduced bit rates of the compressed video sequences with the texture replaced can be obtained. Moreover, because the synthesized textures have similar perceptual characteristics to those of the original textures, the video sequences with the texture replaced are also visually similar to the original sequences. Video results are provided online to allow assessing the visual quality of the tested content.