Video completion method for static object removal based on GLCM

Recovering and restoring the missing information after static video object removal is an active area in video processing. Reconstructions of damaged video parts are the main objectives of video completion methods. One of the main problems of most related video completion and video inpainting techniq...

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Main Authors: Zarif, S., Faye, I., Rambli, D.R.A.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.31527 /
Published: Institute of Electrical and Electronics Engineers Inc. 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957889833&doi=10.1109%2fCSPA.2015.7225618&partnerID=40&md5=8398a27757f7f8bd1168351baca9d70f
http://eprints.utp.edu.my/31527/
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spelling utp-eprints.315272022-03-26T03:21:34Z Video completion method for static object removal based on GLCM Zarif, S. Faye, I. Rambli, D.R.A. Recovering and restoring the missing information after static video object removal is an active area in video processing. Reconstructions of damaged video parts are the main objectives of video completion methods. One of the main problems of most related video completion and video inpainting techniques is the processing time. They consume more time in extensive search for finding the best patch to restore areas with defects. If the affected area is wide, visual artifacts may appear. A video completion method is presented in this paper to recover static damaged area without the extensive patch search step. The proposed method uses Gray Level Co-occurrence Matrix (GLCM) and a filling method from 3 directions. The experimental results showed the good performance of the proposed method in handling the spatial and temporal consistency. Moreover, compared to existing methods, the processing time is reduced from tens of minutes to hundreds of milliseconds. © 2015 IEEE. Institute of Electrical and Electronics Engineers Inc. 2015 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957889833&doi=10.1109%2fCSPA.2015.7225618&partnerID=40&md5=8398a27757f7f8bd1168351baca9d70f Zarif, S. and Faye, I. and Rambli, D.R.A. (2015) Video completion method for static object removal based on GLCM. In: UNSPECIFIED. http://eprints.utp.edu.my/31527/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Recovering and restoring the missing information after static video object removal is an active area in video processing. Reconstructions of damaged video parts are the main objectives of video completion methods. One of the main problems of most related video completion and video inpainting techniques is the processing time. They consume more time in extensive search for finding the best patch to restore areas with defects. If the affected area is wide, visual artifacts may appear. A video completion method is presented in this paper to recover static damaged area without the extensive patch search step. The proposed method uses Gray Level Co-occurrence Matrix (GLCM) and a filling method from 3 directions. The experimental results showed the good performance of the proposed method in handling the spatial and temporal consistency. Moreover, compared to existing methods, the processing time is reduced from tens of minutes to hundreds of milliseconds. © 2015 IEEE.
format Conference or Workshop Item
author Zarif, S.
Faye, I.
Rambli, D.R.A.
spellingShingle Zarif, S.
Faye, I.
Rambli, D.R.A.
Video completion method for static object removal based on GLCM
author_sort Zarif, S.
title Video completion method for static object removal based on GLCM
title_short Video completion method for static object removal based on GLCM
title_full Video completion method for static object removal based on GLCM
title_fullStr Video completion method for static object removal based on GLCM
title_full_unstemmed Video completion method for static object removal based on GLCM
title_sort video completion method for static object removal based on glcm
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957889833&doi=10.1109%2fCSPA.2015.7225618&partnerID=40&md5=8398a27757f7f8bd1168351baca9d70f
http://eprints.utp.edu.my/31527/
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score 11.62408