{"title":"基于感知注意区域的深度图运动估计","authors":"Pei-Jun Lee, Chun-Yuan Cheng","doi":"10.1109/ISIC.2012.6449742","DOIUrl":null,"url":null,"abstract":"This paper proposes a new solution to improve the coding efficiency of depth map in 2D plus depth map of 3D video coding. The proposed algorithm is achieved to reduce coding time on using H.264 encoding for both color image and depth map and to enhance the encoding quality for 2D MV sharing to depth encoding. The method uses 3D perceptual attention regions to determine re-motion estimation MBs in depth map. Moreover, to reduce the coding time for the remotion estimation, the proposed algorithm achives a fast mode decision MBs by motion activity to select coding mode. Experimental results show that the entire encoding time is reduced by about 41.09% compared with the exhaustive full mode decision approach, and the SSIM is increased by about 0.0764 and the PSNR is increased by about 6.7685dB compared with the MV sharing approach.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Motion estimation of depth map based on perceptual attention region\",\"authors\":\"Pei-Jun Lee, Chun-Yuan Cheng\",\"doi\":\"10.1109/ISIC.2012.6449742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new solution to improve the coding efficiency of depth map in 2D plus depth map of 3D video coding. The proposed algorithm is achieved to reduce coding time on using H.264 encoding for both color image and depth map and to enhance the encoding quality for 2D MV sharing to depth encoding. The method uses 3D perceptual attention regions to determine re-motion estimation MBs in depth map. Moreover, to reduce the coding time for the remotion estimation, the proposed algorithm achives a fast mode decision MBs by motion activity to select coding mode. Experimental results show that the entire encoding time is reduced by about 41.09% compared with the exhaustive full mode decision approach, and the SSIM is increased by about 0.0764 and the PSNR is increased by about 6.7685dB compared with the MV sharing approach.\",\"PeriodicalId\":393653,\"journal\":{\"name\":\"2012 International Conference on Information Security and Intelligent Control\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Information Security and Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2012.6449742\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Information Security and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2012.6449742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion estimation of depth map based on perceptual attention region
This paper proposes a new solution to improve the coding efficiency of depth map in 2D plus depth map of 3D video coding. The proposed algorithm is achieved to reduce coding time on using H.264 encoding for both color image and depth map and to enhance the encoding quality for 2D MV sharing to depth encoding. The method uses 3D perceptual attention regions to determine re-motion estimation MBs in depth map. Moreover, to reduce the coding time for the remotion estimation, the proposed algorithm achives a fast mode decision MBs by motion activity to select coding mode. Experimental results show that the entire encoding time is reduced by about 41.09% compared with the exhaustive full mode decision approach, and the SSIM is increased by about 0.0764 and the PSNR is increased by about 6.7685dB compared with the MV sharing approach.