CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Video Inpainting

by Ankita Bagul, Asha Bhalerao, Vaishali Dhage
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 2
Year of Publication: 2014
Authors: Ankita Bagul, Asha Bhalerao, Vaishali Dhage
10.5120/15851-4749

Ankita Bagul, Asha Bhalerao, Vaishali Dhage . Video Inpainting. International Journal of Computer Applications. 91, 2 ( April 2014), 5-10. DOI=10.5120/15851-4749

@article{ 10.5120/15851-4749,
author = { Ankita Bagul, Asha Bhalerao, Vaishali Dhage },
title = { Video Inpainting },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 91 },
number = { 2 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number2/15851-4749/ },
doi = { 10.5120/15851-4749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:41.985746+05:30
%A Ankita Bagul
%A Asha Bhalerao
%A Vaishali Dhage
%T Video Inpainting
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 2
%P 5-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Video inpainting or completion is a vital video improvement technique used to repair or editing of digital videos. In this paper, we are describing masking and nearest neighbor algorithm for repairing damaged frames in video films, focusing on maintaining good spatiotemporal continuity. Masking algorithm is used for detection of scratches or damaged portions in video frames. Nearest neighbor algorithm used for quickly finding approximate nearest neighbor matches between image patches. The given algorithm offers performance improvement, because of that anyone can use it in interactive editing tools. Video completion has been used all over the world to convert cultural artifacts such as vintage videos and films into digital form. However, such types of videos are usually very poor in quality and most of the time it contain unstable luminance and damaged content. Experiment on many frames of videos show the benefits of proposed approach which lead to natural looking videos with less annoying artifacts.

References
  1. Video Inpainting on Digitized Vintage Films via Maintaining Spatiotemporal Continuity Nick C. Tang, Chiou-Ting Hsu, Member, IEEE, Chih-Wen Su, Timothy K. Shih, Senior Member, IEEE, and Hong-Yuan Mark Liao, Senior Member, IEEE
  2. A fast video inpainting technique Mrinmoy Ghorai, Pulak Purkait, and Bhabatosh Chanda Indian Statistical Institute Kolkata, India
  3. M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester,"Image inpainting," SIGGRAPH, pp. 417–424, 2000.
  4. S. Masnou and J. -M. Morel, "Level lines based dissoclusion," ICIP, vol. 3, pp. 259–263, 1998.
  5. S. Masnou and J. -M. Morel, "Disocclusion: a variationalhal-00838927, version 1 - 27 Jun 2013approach using level lines," IEEE Trans. Image Processing,vol. 11, no. 2, 2002.
  6. A. Criminisi, P. Perez, and K. Toyama, "Object removal by exemplar-based inpainting," CVPR, pp. 721–728, 2003.
  7. J. Jia, Y-W. Tai, T-P. Wu, and C-K. Tang, "Video repairing under variable illumination using cyclic motions," PAMI, vol. 28, no. 5, pp. 832–839, 2006.
  8. M. V. Venkatesh, S-C. S. Cheung, and J. Zhao, "Efficient object based video inpainting," ICIP, vol. 30, pp. 168–179,2006.
  9. C-H. Ling, C-W. Lin, C-W. Su, Y-S. Chen, and H-Y. Liao, "Virtual contour guided video object inpainting using posture mapping and retrieval," IEEE Trans. Multimedia, vol. 13, no. 2, pp. 292–302, 2011.
  10. Y. Wexler, E. Shechtman, and M. Irani, "Space-time video completion," CVPR, vol. 1, pp. 120–127, 2004.
  11. K. A. Patwardhan, G. Sapiro, and M. Bertalmio, "Videoinpainting of occluding and occluded objects," ICIP, vol. 2,pp. 69–72, 2005.
  12. WEI, L. Y. , AND LEVOY, M. 2000. Fast texture synthesis using tree structured vector quantization. In ACM SIGGRAPH, 479–488.
  13. HERTZMANN, A. , JACOBS, C. E. , OLIVER, N. , CURLESS, B. , AND SALESIN, D. 2001. Image analogies. In ACM SIGGRAPH, 327–340.
  14. VIDEO INPAINTING Chayanica Das1, Sachet Sharma2, Gaurav Mishra3JSPM's Wagholi ,ICOER(Computer Engineering, Pune, India) 1, 2,PatchMatch - A Randomized Correspondence Algorithm for Structural Image Editing
  15. KOPF, J. , FU, C. -W. , COHEN-OR, D. , DEUSSEN, O. , LISCHINSKI, D. ,AND WONG, T. -T. 2007. Solid texture synthesis from 2d exemplars. ACM SIGGRAPH 26, 3, 2:1–2:9. .
  16. KUMAR, N. , ZHANG, L. , AND NAYAR, S. K. 2008. What is a good nearest neighbors algorithm for finding similar patches in images? In European Conference on Computer Vision (ECCV), II: 364–378.
  17. LEFEBVRE, S. , AND HOPPE, H. 2005. Parallel controllable texture synthesis. ACM SIGGRAPH 24, 3, 777–78
  18. ASHIKHMIN, M. 2001. Synthesizing natural textures. In I3D '06 Proc. , ACM, 217–226
  19. TONG, X. , ZHANG, J. , LIU, L. , WANG, X. , GUO, B. , AND SHUM, H. -Y. 2002. Synthesis of bidirectional texture functions on arbitrary surfaces. ACM SIGGRAPH 21, 3 (July), 665–672.
  20. Towards fast, generic video inpainting ,Alasdair Newson, Matthieu Fradet,Patrick Pérez ,Andrés Almansa, Yann Gousseau
  21. PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing Connelly Barnes Eli Shechtman Adam Finkelstein Dan B,CS 294-69- Paper Presentation.
  22. PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing Connelly Barnes1 Eli Shechtman2;3 Adam Finkelstein1 Dan B Goldman2 1Princeton University 2 Adobe Systems 3 University of Washington
  23. http://www. youtube. com/watch?v=fMe19oTz6vk(ceffectsstudio)
Index Terms

Computer Science
Information Sciences

Keywords

Inpainting avi patching masking spatiotemporal luminance.

Powered by PhDFocusTM