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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 資訊網路與多媒體研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4573
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dc.contributor.advisor洪一平(Yi-Ping Hung)
dc.contributor.authorChao Shenen
dc.contributor.author沈超zh_TW
dc.date.accessioned2021-05-14T17:43:35Z-
dc.date.available2015-08-07
dc.date.available2021-05-14T17:43:35Z-
dc.date.copyright2015-08-07
dc.date.issued2015
dc.date.submitted2015-08-06
dc.identifier.citation[1] YasuyukiMatsushita,EyalOfek,XiaoouTang,andHeung-YeungShum.Full-frame video stabilization. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, volume 1, pages 50–57. IEEE, 2005.
[2] Yasuyuki Matsushita, Eyal Ofek, Weina Ge, Xiaoou Tang, and Heung-Yeung Shum. Full-frame video stabilization with motion inpainting. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(7):1150–1163, 2006.
[3] Ken-Yi Lee, Yung-Yu Chuang, Bing-Yu Chen, and Ming Ouhyoung. Video sta- bilization using robust feature trajectories. In Computer Vision, 2009 IEEE 12th International Conference on, pages 1397–1404. IEEE, 2009.
[4] Feng Liu, Michael Gleicher, Jue Wang, Hailin Jin, and Aseem Agarwala. Subspace video stabilization. ACM Transactions on Graphics (TOG), 30(1):4, 2011.
[5] Shuaicheng Liu, Lu Yuan, Ping Tan, and Jian Sun. Bundled camera paths for video stabilization. ACM Transactions on Graphics (TOG), 32(4):78, 2013.
[6] Shuaicheng Liu, Lu Yuan, Ping Tan, and Jian Sun. Steadyflow: Spatially smooth optical flow for video stabilization. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 4209–4216. IEEE, 2014.
[7] Yair Poleg, Tavi Halperin, Chetan Arora, and Shmuel Peleg. Egosampling: Fast- forward and stereo for egocentric videos. arXiv preprint arXiv:1412.3596, 2014.
[8] Neel Joshi, Mike Toelle Wolf Kienzle, and Michael F. Cohen Matt Uyttendaele. Real-time hyperlapse creation via optimal frame selection. ACM Transactions on Graphics (TOG), 2015.
[9] Mostafa Kamali, Atsuhiko Banno, Jean-Charles Bazin, In So Kweon, and Katsushi Ikeuchi. Stabilizing omnidirectional videos using 3d structure and spherical image warping. In IAPR Conference on Machine Vision Applications, pages 177–180, 2011.
[10] Neel Joshi, Sisil Mehta, Steven Drucker, Eric Stollnitz, Hugues Hoppe, Matt Uyt- tendaele, and Michael Cohen. Cliplets: juxtaposing still and dynamic imagery. In Proceedings of the 25th annual ACM symposium on User interface software and technology, pages 251–260. ACM, 2012.
[11] Alexandre Karpenko, David Jacobs, Jongmin Baek, and Marc Levoy. Digital video stabilization and rolling shutter correction using gyroscopes. CSTR, 1:2, 2011.
[12] Feng Liu, Michael Gleicher, Hailin Jin, and Aseem Agarwala. Content-preserving warps for 3d video stabilization. In ACM Transactions on Graphics (TOG), vol- ume 28, page 44. ACM, 2009.
[13] Matthias Grundmann, Vivek Kwatra, and Irfan Essa. Auto-directed video stabiliza- tion with robust l1 optimal camera paths. In Computer Vision and Pattern Recogni- tion (CVPR), 2011 IEEE Conference on, pages 225–232. IEEE, 2011.
[14] Andrey Litvin, Janusz Konrad, and William C Karl. Probabilistic video stabilization using kalman filtering and mosaicing. In Electronic Imaging 2003, pages 663–674. International Society for Optics and Photonics, 2003.
[15] Johannes Kopf, Michael F Cohen, and Richard Szeliski. First-person hyper-lapse videos. ACM Transactions on Graphics (TOG), 33(4):78, 2014.
[16] Takeo Igarashi, Tomer Moscovich, and John F Hughes. As-rigid-as-possible shape manipulation. ACM transactions on Graphics (TOG), 24(3):1134–1141, 2005.
[17] Carlo Tomasi and Roberto Manduchi. Bilateral filtering for gray and color images. In Computer Vision, 1998. Sixth International Conference on, pages 839–846. IEEE, 1998.
[18] Bruce D Lucas, Takeo Kanade, et al. An iterative image registration technique with an application to stereo vision. In IJCAI, volume 81, pages 674–679, 1981.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/4573-
dc.description.abstract在虛擬實境用戶體驗中,使用基於圖片渲染的環場視訊越來越普 遍,通過縮時來觀看已經錄好的冗長的視訊则是用戶的普遍選擇。然 而,縮時會放大視訊原本就存在的抖動,沉浸式觀看抖動的視訊更會 使得用戶頭暈和不舒服。
我們的目標是產生穩定的縮時環場視訊。我們第一個提出了一種可 以獲得穩定的縮時環場視訊的方法。我們首先闡述一個基本的視訊穩 定的方法框架以及如何改進使得可以減輕視差帶來的問題。然後我們 提出適用於環場視訊穩定的方法,適用於縮時視訊穩定的方法以及縮 時環場視訊穩定的方法。最後我們回顧最終的完整的處理方法以及驗 證效果。虛擬實境用戶體驗中使用穩定的縮時環場視訊可以得到很好 的效果。
zh_TW
dc.description.abstractImage-based rendered panoramic videos are used in virtual reality user experiences commonly. Long videos recorded in situations and speed up watching by a created time-lapse video is a natural choice for users. Videos will be further shaking because of the time warping. Immersion viewing shaking videos are bring dizzy and uncomfortable for users.
Our goal is the time-lapse panoramic videos stabilization. Our paper propose the first method which can perform time-lapse panoramic videos stabilization well. We propose a traditional video stabilization framework and how to use Laplacian mesh warping method to correction the parallax error of the frames first. Then we optimize the proposed framework to fit panoramic videos well. After that, we extend the basic framework by an optimized frames selection method to generating time-lapse videos. Finally, we go through our approaches and evaluation by using several input videos. Using stabilized panoramic videos in virtual reality user experiences provide good results.
en
dc.description.provenanceMade available in DSpace on 2021-05-14T17:43:35Z (GMT). No. of bitstreams: 1
ntu-104-R02944045-1.pdf: 8588200 bytes, checksum: acf23ca73131a2a5bcaa8995c6e8e0b0 (MD5)
Previous issue date: 2015
en
dc.description.tableofcontents口試委員會審定書i
致謝 ii
中文摘要 iii
Abstract iv
Contents v
List of Figures vii
List of Tables viii
1 Introduction 1
2 Related Work 4
3 Basic Video Stabilization Framework 8
3.1 DynamicScenesHandling ......................... 8
3.2 ParallaxHandling.............................. 11
3.2.1 LaplacianMeshWarping...................... 12
4 Panoramic Processing 16
4.1 PanoramicVideoStabilization ....................... 16
4.2 PanoramicProcessingEvaluation...................... 19
4.2.1 PanoramicAnalysis ........................ 21
4.2.2 CompareWithVideoStitch..................... 21
5 Time-lapse Processing 23
5.1 OptimalFrameSelection .......................... 23
5.1.1 ShakinessCost ........................... 24
5.1.2 VelocityCost............................ 25
5.1.3 AppearanceCost .......................... 25
5.1.4 OptimalFrameSelection...................... 26
5.2 SingleCameraPathOptimization ..................... 28
5.3 Time-lapseVideoStabilizationEvaluation . . . . . . . . . . . . . . . . . 31
5.3.1 Single Camera Path Optimization Analysis . . . . . . . . . . . . 32
5.4 Time-lapsePanoramicVideoStabilization . . . . . . . . . . . . . . . . . 33
6 Conclusions 37
Bibliography 38
dc.language.isoen
dc.title縮時環場視訊的穩定zh_TW
dc.titleTime-lapse Panoramic Video Stabilizationen
dc.typeThesis
dc.date.schoolyear103-2
dc.description.degree碩士
dc.contributor.oralexamcommittee歐陽明,莊永裕,邱志義
dc.subject.keyword縮時視訊,環場視訊,視訊穩定,影像變形,相機路徑,虛擬實境,zh_TW
dc.subject.keywordTime-lapse video,Panoramic video,Video stabilization,Image warping,Camera path,Virtual reality,en
dc.relation.page40
dc.rights.note同意授權(全球公開)
dc.date.accepted2015-08-06
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept資訊網路與多媒體研究所zh_TW
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