Topic related video segmentation

This report addresses the problem of recovering the person-of-interest in a broadcast video. This is extremely challenging due to the imaged appearance variation of the person-of-interest in the video. However, the abstraction of the meaningful data is somehow similar to a table of content; it can s...

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Main Author: Xie, Henry Cheng You
Other Authors: Teoh Eam Khwang
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/52602
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-526022023-07-07T17:03:57Z Topic related video segmentation Xie, Henry Cheng You Teoh Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report addresses the problem of recovering the person-of-interest in a broadcast video. This is extremely challenging due to the imaged appearance variation of the person-of-interest in the video. However, the abstraction of the meaningful data is somehow similar to a table of content; it can serve as a useful index table, enabling users to browse through huge amounts of data in a non-linear manner. In order to achieve a useful index table, key frames are commonly used in applications such as video editing and non-linear data browsing. This report presents two methods for key frame selection: capturing of Euclidean distances between their color histograms and secondly, measuring the similarity between two images by viewing the images being compared with the other image regarded as perfect quality. Thus, this report will present two discriminative key-frame selection methods, and the experimental results will be discussed. Lastly, based on the sparsity, a recognition performance can be achieved by a simple algorithm and the face of interest will have the name label on it. Bachelor of Engineering 2013-05-21T02:28:11Z 2013-05-21T02:28:11Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52602 en Nanyang Technological University 99 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::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Xie, Henry Cheng You
Topic related video segmentation
description This report addresses the problem of recovering the person-of-interest in a broadcast video. This is extremely challenging due to the imaged appearance variation of the person-of-interest in the video. However, the abstraction of the meaningful data is somehow similar to a table of content; it can serve as a useful index table, enabling users to browse through huge amounts of data in a non-linear manner. In order to achieve a useful index table, key frames are commonly used in applications such as video editing and non-linear data browsing. This report presents two methods for key frame selection: capturing of Euclidean distances between their color histograms and secondly, measuring the similarity between two images by viewing the images being compared with the other image regarded as perfect quality. Thus, this report will present two discriminative key-frame selection methods, and the experimental results will be discussed. Lastly, based on the sparsity, a recognition performance can be achieved by a simple algorithm and the face of interest will have the name label on it.
author2 Teoh Eam Khwang
author_facet Teoh Eam Khwang
Xie, Henry Cheng You
format Final Year Project
author Xie, Henry Cheng You
author_sort Xie, Henry Cheng You
title Topic related video segmentation
title_short Topic related video segmentation
title_full Topic related video segmentation
title_fullStr Topic related video segmentation
title_full_unstemmed Topic related video segmentation
title_sort topic related video segmentation
publishDate 2013
url http://hdl.handle.net/10356/52602
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