Classification of MPEG videos based on motion vectors

This dissertation provides a method of classifying MPEG videos based on Motion Vector. We developed a prototype system that can extract the motion vectors embedded in the video so as to identify the region of interest for segmentation and classification purpose. The two classifications are identifie...

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Main Author: Zaw Tin Oo
Other Authors: Ang, Yew Hock
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/13282
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-132822023-07-04T15:29:50Z Classification of MPEG videos based on motion vectors Zaw Tin Oo Ang, Yew Hock School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision This dissertation provides a method of classifying MPEG videos based on Motion Vector. We developed a prototype system that can extract the motion vectors embedded in the video so as to identify the region of interest for segmentation and classification purpose. The two classifications are identified as wide angle shot and neighboring shot. We tested various MPEG-1 and MPEG-2 standard videos and classify them as wide angle and neighboring shots. By extracting the accurate motion characteristics of the video, we are able to classify video sequences based on their different characteristics. We developed tools based on camera motion for analyzing and classifying a class of structured videos using the motion information available directly from MPEG compressed videos. By examining readily extractable data from MPEG video bit streams, such as macroblock motion vectors and the number of intra-coded blocks, we illustrate that it is possible to identify high level events such as wide angle and neighboring views. Master of Science (Communication and Network Systems) 2008-10-20T07:22:56Z 2008-10-20T07:22:56Z 1999 1999 Thesis http://hdl.handle.net/10356/13282 en 73 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Zaw Tin Oo
Classification of MPEG videos based on motion vectors
description This dissertation provides a method of classifying MPEG videos based on Motion Vector. We developed a prototype system that can extract the motion vectors embedded in the video so as to identify the region of interest for segmentation and classification purpose. The two classifications are identified as wide angle shot and neighboring shot. We tested various MPEG-1 and MPEG-2 standard videos and classify them as wide angle and neighboring shots. By extracting the accurate motion characteristics of the video, we are able to classify video sequences based on their different characteristics. We developed tools based on camera motion for analyzing and classifying a class of structured videos using the motion information available directly from MPEG compressed videos. By examining readily extractable data from MPEG video bit streams, such as macroblock motion vectors and the number of intra-coded blocks, we illustrate that it is possible to identify high level events such as wide angle and neighboring views.
author2 Ang, Yew Hock
author_facet Ang, Yew Hock
Zaw Tin Oo
format Theses and Dissertations
author Zaw Tin Oo
author_sort Zaw Tin Oo
title Classification of MPEG videos based on motion vectors
title_short Classification of MPEG videos based on motion vectors
title_full Classification of MPEG videos based on motion vectors
title_fullStr Classification of MPEG videos based on motion vectors
title_full_unstemmed Classification of MPEG videos based on motion vectors
title_sort classification of mpeg videos based on motion vectors
publishDate 2008
url http://hdl.handle.net/10356/13282
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