Institutional Repository of Chinese Acad Sci, Inst Intelligent Machines, Hefei 230031, Anhui, Peoples R China
Simultaneously retargeting and super-resolution for stereoscopic video | |
Kang, Kai1; Cao, Yang1; Wang, Zengfu1,2 | |
2017-04-01 | |
发表期刊 | MULTIMEDIA TOOLS AND APPLICATIONS |
摘要 | This paper presents a novel approach that is able to resize stereoscopic video to fit various display environments with different aspect-ratios, while preserving the prominent content, keeping temporally consistent, adapting depth, as well as increasing the resolution. Our proposed approach can deal with retargeting and super-resolution problems simultaneously via replacing the down-sampling matrix appearing in super-resolution algorithm with a novel one, named as content-aware-sampling matrix, derived from retargeting method. The new matrix can sample the image into any resolution while preserving its important information as much as possible. Our approach can be roughly subdivided into three steps. In the first step, we calculate the overall saliency map for a shot, while considering the conspicuous information such as motion, depth, and structures. In the second step, given a certain resolution, we compute the retargeting parameters by a global optimization and formulate them into a matrix. Finally, we substitute the matrix into the objective function of super-resolution to achieve high visual quality images with expected resolution. In addition, we propose a novel single image super-resolution method inspired by a blind image deblurring method. The experimental results based on user studies verify the effectiveness of our approach. And the comparisons with the-state-of-the-art single image super-resolution methods validate the potential of our super-resolution method. |
文章类型 | Article |
关键词 | Stereoscopic Video Retargeting Super-resolution |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1007/s11042-015-3226-9 |
关键词[WOS] | SUPER RESOLUTION ; MULTIVIEW IMAGES |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000400570400044 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/33481 |
专题 | 中科院合肥智能机械研究所 |
作者单位 | 1.Univ Sci & Technol China, Dept Automat, Hefei, Anhui, Peoples R China 2.Chinese Acad Sci, Inst Intelligent Machines, Hefei, Anhui, Peoples R China |
推荐引用方式 GB/T 7714 | Kang, Kai,Cao, Yang,Wang, Zengfu. Simultaneously retargeting and super-resolution for stereoscopic video[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2017,76(8):11081-11095. |
APA | Kang, Kai,Cao, Yang,&Wang, Zengfu.(2017).Simultaneously retargeting and super-resolution for stereoscopic video.MULTIMEDIA TOOLS AND APPLICATIONS,76(8),11081-11095. |
MLA | Kang, Kai,et al."Simultaneously retargeting and super-resolution for stereoscopic video".MULTIMEDIA TOOLS AND APPLICATIONS 76.8(2017):11081-11095. |
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