CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
A hybrid domain enhanced framework for video retargeting with spatial-temporal importance and 3D grid optimization
Wang, Jinqiao1; Xu, Min2; He, Xiangjian2; Lu, Hanqing1; Hoang, Doan2
Source PublicationSIGNAL PROCESSING
2014
Issue94Pages:33-47
SubtypeArticle
AbstractRecently, a ubiquitous video access is highly demanded for online video applications. One big challenge is that video service needs to adapt different device capabilities. Pervasive multimedia devices require an accurate and user comfort video retargeting. Letting users see their preferred content accurately directly affects their comforts. User preferences on video contents are different in various video domains. In this paper, we present a hybrid framework of video retargeting with a domain enhanced spatial-temporal grid optimization. First, we parse videos from low-level features to high-level visual concepts, combining with visual attention for an accurate importance description. Second, a semantic importance map is built up representing the spatial importance and temporal continuity, which is incorporated with a 3D rectilinear grid scaleplate to map frames to a target display, thereby keeping the aspect ratio of semantically salient objects as well as the perceptual coherency. Extensive evaluations are made on five typical video genres, i.e. sports, advertisements, lecture, news and surveillance. The comparison with the state-of-the-art approaches on both images and videos have demonstrated the advantages of the proposed approach. (C) 2013 Elsevier B.V. All rights reserved.
KeywordVideo Retargeting Visual Attention Visual Concept Spatial-temporal Importance 3d Grid Optimization
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000327363300004
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3375
Collection模式识别国家重点实验室_图像与视频分析
Corresponding AuthorWang, Jinqiao
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China
2.Univ Technol Sydney, Sch Comp & Commun, Sydney, NSW 2007, Australia
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Jinqiao,Xu, Min,He, Xiangjian,et al. A hybrid domain enhanced framework for video retargeting with spatial-temporal importance and 3D grid optimization[J]. SIGNAL PROCESSING,2014(94):33-47.
APA Wang, Jinqiao,Xu, Min,He, Xiangjian,Lu, Hanqing,&Hoang, Doan.(2014).A hybrid domain enhanced framework for video retargeting with spatial-temporal importance and 3D grid optimization.SIGNAL PROCESSING(94),33-47.
MLA Wang, Jinqiao,et al."A hybrid domain enhanced framework for video retargeting with spatial-temporal importance and 3D grid optimization".SIGNAL PROCESSING .94(2014):33-47.
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