{"title":"Tracking based depth-guided video inpainting","authors":"Saroj Hatheele, M. Zaveri","doi":"10.1109/NCVPRIPG.2013.6776217","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel technique of tracking based video inpainting using depth information. Depth information obtained from the structure of motion is refined by extended proposed voting based algorithm. The refined depth map is used to extract moving foreground object from tracked moving object then replaces it into other video frame using integrated color and depth information based video inpainting. We compared the color based video inpainting with integrated color and depth information based video inpainting. Our proposed method acquaints special effect by including tracking and depth information to video inpainting. Inclusion of depth information increases the quality of inpainted video. Finally, we present experimental results of depth refinement and video inpainting for molecular video sequences captured with static camera with moving objects.","PeriodicalId":436402,"journal":{"name":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCVPRIPG.2013.6776217","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, we propose a novel technique of tracking based video inpainting using depth information. Depth information obtained from the structure of motion is refined by extended proposed voting based algorithm. The refined depth map is used to extract moving foreground object from tracked moving object then replaces it into other video frame using integrated color and depth information based video inpainting. We compared the color based video inpainting with integrated color and depth information based video inpainting. Our proposed method acquaints special effect by including tracking and depth information to video inpainting. Inclusion of depth information increases the quality of inpainted video. Finally, we present experimental results of depth refinement and video inpainting for molecular video sequences captured with static camera with moving objects.
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基于跟踪的深度引导视频绘画
在本文中,我们提出了一种基于深度信息的跟踪视频绘制技术。从运动结构中获得的深度信息通过扩展提出的基于投票的算法进行细化。利用改进的深度图从跟踪的运动物体中提取出运动的前景物体,然后利用基于颜色和深度信息的视频补绘将其替换到其他视频帧中。我们比较了基于颜色的视频补绘与基于综合颜色和深度信息的视频补绘。我们提出的方法通过将跟踪和深度信息加入到视频绘制中来了解特效。包含深度信息可以提高绘制视频的质量。最后,我们给出了用静态摄像机拍摄的带有运动物体的分子视频序列的深度细化和视频绘制的实验结果。
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