How not to be seen - Object removal from videos of crowded scenes

Computer Graphics Forum

Volumn 31, Issue 2, 2012, Pages 219-228

  Granados, M ^a   Tompkin, J ^b   Kim, K ^a   Grau, O ^c   Kautz, J ^b   Theobalt, C ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c BBC RESEARCH AND DEVELOPMENT   (United Kingdom)

Author keywords

Video completion; Video inpainting; Video restoration

Indexed keywords

GRAPHIC METHODS; VIDEO SIGNAL PROCESSING;

COMBINATORIAL PROBLEM; COMPUTATION TIME; CONVERGENCE PROPERTIES; DYNAMIC BACKGROUND; ENERGY FUNCTIONALS; VIDEO COMPLETION; VIDEO INPAINTING; VIDEO RESTORATION;

COMPUTER GRAPHICS;

EID: 84867892769     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/j.1467-8659.2012.03000.x     Document Type: Conference Paper

References (27)

1. BOYKOV Y., KOLMOGOROV V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE TPAMI 26, 9 (2004), 1124-1137.
2. BARNES C., SHECHTMAN E., FINKELSTEIN A., GOLDMAN D. B.: PatchMatch: a randomized correspondence algorithm for structural image editing. ACM Trans. Graphics (Proc. SIGGRAPH) 28, 3 (2009), 24:1-24:11.
3. BOYKOV Y., VEKSLER O., ZABIH R.: Fast approximate energy minimization via graph cuts. IEEE TPAMI 23, 11 (2001), 1222-1239.
4. BAI X., WANG J., SIMONS D., SAPIRO G.: Video snapcut: robust video object cutout using localized classifiers. ACM Trans. Graphics (Proc. SIGGRAPH) 28, 3 (2009).
5. CRIMINISI A., PÉREZ P., TOYAMA K.: Region filling and object removal by exemplar-based image inpainting. IEEE TIP 13, 9 (2004), 1200-1212.
6. DEMANET L., SONG B., CHAN T.: Image inpainting by correspondence maps: a deterministic approach. Applied and Computational Mathematics 1100 (2003), 217-50.
7. GLASNER D., BAGON S., IRANI M.: Super-resolution from a single image. In Proc. ICCV (2009), IEEE, pp. 349-356.
8. GRANADOS M., SEIDEL H.-P., LENSCH H. P. A.: Background estimation from non-time sequence images. In Proc. Graphics Interface (2008), pp. 33-40.
9. HU Y., RAJAN D.: Hybrid shift map for video retargeting. In Proc. IEEE CVPR (2010), IEEE, pp. 577-584.
10. JIA Y.-T., HU S.-M., MARTIN R. R.: Video completion using tracking and fragment merging. The Visual Computer 21, 8-10 (2005), 601-610.
11. JIA J., TAI Y.-W., WU T.-P., TANG C.-K.: Video repairing under variable illumination using cyclic motions. IEEE TPAMI 28, 5 (2006), 832-839.
12. KWATRA V., SCHÖDL A., ESSA I. A., TURK G., BOBICK A. F.: Graphcut textures: image and video synthesis using graph cuts. ACM Trans. Graphics (Proc. SIGGRAPH) 22, 3 (2003), 277-286.
13. KOLMOGOROV V., ZABIH R.: What energy functions can be minimized via graph cuts? IEEE TPAMI 26, 2 (2004), 147-159.
14. LING C.-H., LIN C.-W., SU C.-W., LIAO H.-Y. M., CHEN Y.-S.: Video object inpainting using posture mapping. In Proc. ICIP (2009), pp. 2785-2788.
15. MATSUSHITA Y., OFEK E., GE W., TANG X., SHUM H.-Y.: Full-frame video stabilization with motion inpainting. IEEE TPAMI 28, 7 (2006), 1150-1163.
16. PRITCH Y., KAV-VENAKI E., PELEG S.: Shift-map image editing. In Proc. ICCV (2009), pp. 151-158.
17. PRITCH Y., POLEG Y., PELEG S.: Snap image composition. In MIRAGE (2011), Gagalowicz A., Philips W., (Eds.), vol. 6930 of Lecture Notes in Computer Science, Springer, pp. 181-191.
18. PATWARDHAN K. A., SAPIRO G., BERTALMIO M.: Video inpainting of occluding and occluded objects. In Proc. ICIP (2005), pp. 69-72.
19. PATWARDHAN K., SAPIRO G., BERTALMIO M.: Video inpainting under constrained camera motion. IEEE TIP 16, 2 (February 2007), 545-553.
20. ROBERTS A.: Fast and accurate multigrid solution of Poissons equation using diagonally oriented grids. Numerical Analysis (July 1999).
21. SHEN Y., LU F., CAO X., FOROOSH H.: Video completion for perspective camera under constrained motion. In Proc. ICIP (2006), vol. 3, pp. 63-66.
22. SHIRATORI T., MATSUSHITA Y., TANG X., KANG S. B.: Video completion by motion field transfer. In Proc. IEEE CVPR (2006), pp. 411-418.
23. SHIH T. K., TANG N. C., HWANG J.-N.: Exemplar-based video inpainting without ghost shadow artifacts by maintaining temporal continuity. IEEE Trans. Circuits Syst. Video Techn. 19, 3 (2009), 347-360.
24. SHIH T. K., TAN N. C., TSAI J. C., H.-Y Z.: Video falsifying by motion interpolation and inpainting. In Proc. IEEE CVPR (2008), pp. 1-8.
25. VENKATESH M. V., CHEUNG S. S., ZHAO J.: Efficient object-based video inpainting. Pattern Recognition Letters 30, 2 (2009), 168-179.
26. WANDELL B. A.: Foundations of Vision. Sinauer Associates, Inc., 1995.
27. WEXLER Y., SHECHTMAN E., IRANI M.: Space-time completion of video. IEEE TPAMI 29, 3 (2007), 463-476.