Scene change detection method for MPEG video

Indexing and editing large quantities of video material is becoming an increasing problem today, especially when video acquire technology made video archiving easy. Manually indexing video content is currently the most accurate method but it is a very time consuming process. An efficient video index...

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Main Author: Wan Mohamed, Wan Fahimi
Format: Thesis
Language:English
Published: 2005
Subjects:
Online Access:http://eprints.utm.my/id/eprint/3604/1/WanFahimiWanMFKE2005.pdf
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spelling my-utm-ep.36042018-01-07T08:18:26Z Scene change detection method for MPEG video 2005-04 Wan Mohamed, Wan Fahimi TK Electrical engineering. Electronics Nuclear engineering Indexing and editing large quantities of video material is becoming an increasing problem today, especially when video acquire technology made video archiving easy. Manually indexing video content is currently the most accurate method but it is a very time consuming process. An efficient video indexing technique is to temporally segment a sequence into shots. A shot is defined as a sequence of frames captured from a single camera operation. A small subset of frames can be used to retrieve information from the video and enable content-based video browsing. To minimize the cost of time for video indexing and editing, automated shot cut (scene change) detection is used. This paper will introduce two types of scene change detection method based on frame by frame comparison. Both methods apply for MPEG-1 video stream. First approach will use the nature of edge continuity within video. Second approach uses grayscale level of extracted frames from MPEG video stream. Both techniques use image processing tools for frames analysis and comparison. Scene change decision is made with the reference of several image processing operation and the threshold value. The performance of detection will be evaluated on detection precision and false alarm. At the end, both methods will produce the result of frame number where scene change is detected. These values will be use for video indexing process. 2005-04 Thesis http://eprints.utm.my/id/eprint/3604/ http://eprints.utm.my/id/eprint/3604/1/WanFahimiWanMFKE2005.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Wan Mohamed, Wan Fahimi
Scene change detection method for MPEG video
description Indexing and editing large quantities of video material is becoming an increasing problem today, especially when video acquire technology made video archiving easy. Manually indexing video content is currently the most accurate method but it is a very time consuming process. An efficient video indexing technique is to temporally segment a sequence into shots. A shot is defined as a sequence of frames captured from a single camera operation. A small subset of frames can be used to retrieve information from the video and enable content-based video browsing. To minimize the cost of time for video indexing and editing, automated shot cut (scene change) detection is used. This paper will introduce two types of scene change detection method based on frame by frame comparison. Both methods apply for MPEG-1 video stream. First approach will use the nature of edge continuity within video. Second approach uses grayscale level of extracted frames from MPEG video stream. Both techniques use image processing tools for frames analysis and comparison. Scene change decision is made with the reference of several image processing operation and the threshold value. The performance of detection will be evaluated on detection precision and false alarm. At the end, both methods will produce the result of frame number where scene change is detected. These values will be use for video indexing process.
format Thesis
qualification_level Master's degree
author Wan Mohamed, Wan Fahimi
author_facet Wan Mohamed, Wan Fahimi
author_sort Wan Mohamed, Wan Fahimi
title Scene change detection method for MPEG video
title_short Scene change detection method for MPEG video
title_full Scene change detection method for MPEG video
title_fullStr Scene change detection method for MPEG video
title_full_unstemmed Scene change detection method for MPEG video
title_sort scene change detection method for mpeg video
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2005
url http://eprints.utm.my/id/eprint/3604/1/WanFahimiWanMFKE2005.pdf
_version_ 1747814460486057984