Qingchun Lu, Xiangzhong Fang, Chong Xu, Yongzhe Wang
{"title":"基于深度的3D视频的帧率上转换","authors":"Qingchun Lu, Xiangzhong Fang, Chong Xu, Yongzhe Wang","doi":"10.1109/ICME.2012.117","DOIUrl":null,"url":null,"abstract":"A novel frame rate up-conversion (FRUC) scheme for depth-based 3D video is proposed. Differing from the existing conventional FRUC methods which are designed for two dimensional (2D) video only, the proposed method is designed for depth-based 3D video, which increases the frame rate of both color sequences and its associated depth maps by jointly considering the image intensity, depth information, and spatial-temporal correlations. The proposed method contains motion estimation, block irregular segmentation (BIS), depth-constrained motion vector post-processing, forward and backward motion compensation, and edge-preserved combination. Experimental results show that the intermediate color and depth images interpolated by our proposed method provide a good image quality both objectively and subjectively. Moreover, compared with conversional FRUC methods, the color and depth map sequences up-converted by the proposed method are more suitable for further virtual view synthesis.","PeriodicalId":273567,"journal":{"name":"2012 IEEE International Conference on Multimedia and Expo","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Frame Rate Up-Conversion for Depth-Based 3D Video\",\"authors\":\"Qingchun Lu, Xiangzhong Fang, Chong Xu, Yongzhe Wang\",\"doi\":\"10.1109/ICME.2012.117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel frame rate up-conversion (FRUC) scheme for depth-based 3D video is proposed. Differing from the existing conventional FRUC methods which are designed for two dimensional (2D) video only, the proposed method is designed for depth-based 3D video, which increases the frame rate of both color sequences and its associated depth maps by jointly considering the image intensity, depth information, and spatial-temporal correlations. The proposed method contains motion estimation, block irregular segmentation (BIS), depth-constrained motion vector post-processing, forward and backward motion compensation, and edge-preserved combination. Experimental results show that the intermediate color and depth images interpolated by our proposed method provide a good image quality both objectively and subjectively. Moreover, compared with conversional FRUC methods, the color and depth map sequences up-converted by the proposed method are more suitable for further virtual view synthesis.\",\"PeriodicalId\":273567,\"journal\":{\"name\":\"2012 IEEE International Conference on Multimedia and Expo\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Multimedia and Expo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2012.117\",\"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 IEEE International Conference on Multimedia and Expo","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2012.117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel frame rate up-conversion (FRUC) scheme for depth-based 3D video is proposed. Differing from the existing conventional FRUC methods which are designed for two dimensional (2D) video only, the proposed method is designed for depth-based 3D video, which increases the frame rate of both color sequences and its associated depth maps by jointly considering the image intensity, depth information, and spatial-temporal correlations. The proposed method contains motion estimation, block irregular segmentation (BIS), depth-constrained motion vector post-processing, forward and backward motion compensation, and edge-preserved combination. Experimental results show that the intermediate color and depth images interpolated by our proposed method provide a good image quality both objectively and subjectively. Moreover, compared with conversional FRUC methods, the color and depth map sequences up-converted by the proposed method are more suitable for further virtual view synthesis.