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Reseach Article

Automatic Reconstruction of Screen Capture Videos by Removing Unwanted Objects

by Hrishikesh Pardeshi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 4
Year of Publication: 2014
Authors: Hrishikesh Pardeshi
10.5120/16581-6277

Hrishikesh Pardeshi . Automatic Reconstruction of Screen Capture Videos by Removing Unwanted Objects. International Journal of Computer Applications. 95, 4 ( June 2014), 10-15. DOI=10.5120/16581-6277

@article{ 10.5120/16581-6277,
author = { Hrishikesh Pardeshi },
title = { Automatic Reconstruction of Screen Capture Videos by Removing Unwanted Objects },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 4 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number4/16581-6277/ },
doi = { 10.5120/16581-6277 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:32.096393+05:30
%A Hrishikesh Pardeshi
%T Automatic Reconstruction of Screen Capture Videos by Removing Unwanted Objects
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 4
%P 10-15
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Screen capture videos (recording computer screen) can contain unwanted objects hereafter referred to as "popups". Removing such unwanted objects becomes a challenge with existing techniques available for video inpainting. Screen capture videos are characterized by sharp edges and huge amount of text in the background. Hence, techniques involving intra-frame interpolation/extrapolation of pixels fail to produce good results. In this paper, a multi-stage algorithm is proposed to detect and remove popups from screen capture videos. The steps involved are determining the duration of popup, exact shape of popup and source region for replacement. The algorithm does not perform any kind of interpolation/ extrapolation throughout. Instead, it finds the region/patch of pixels in the previous or future frames to replace the popup region (inter-frame replacement).

References
  1. Learning OpenCV Gary Bradski, Adrian Kaehler
  2. Canny John, "A computational approach to edge detection", IEEE Transactions on Pattern analysis and Machine intelligence, Volume PAMI-8, Issue: 6
  3. Content aware fill, Adobe Photoshop http://www. photoshop. com/
  4. Freeze tool by Camtasia http://www. techsmith. com/camtasia. html
  5. OpenCV, an open-source library for computer vision http://opencv. org/
Index Terms

Computer Science
Information Sciences

Keywords

Popup removal Reconstructing screen capture videos Iterative edge detection