A robust dissolve detector by support vector machine

A robust dissolve detector by support vector machine

In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representation of temporal slices extracted from 3D image volume. At the low-resolution (LR) scale, the problem of dissolve detection...

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Main Author: NGO, Chong-wah
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
Subjects:
Dissolve Detector
Support Vector Machine
Temporal Slices
Graphics and Human Computer Interfaces
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/6454
https://ink.library.smu.edu.sg/context/sis_research/article/7457/viewcontent/957013.957072.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-74572022-01-10T06:13:08Z A robust dissolve detector by support vector machine NGO, Chong-wah In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representation of temporal slices extracted from 3D image volume. At the low-resolution (LR) scale, the problem of dissolve detection is reduced as cut transition detection. At the highresolution (HR) space, Gabor wavelet features are computed for regions that surround the cuts located at LR scale. The computed features are then input to support vector machines for pattern classification. Encouraging results have been obtained through experiments. 2003-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6454 info:doi/10.1145/957013.957072 https://ink.library.smu.edu.sg/context/sis_research/article/7457/viewcontent/957013.957072.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Dissolve Detector Support Vector Machine Temporal Slices Graphics and Human Computer Interfaces Theory and Algorithms
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Dissolve Detector
Support Vector Machine
Temporal Slices
Graphics and Human Computer Interfaces
Theory and Algorithms
spellingShingle Dissolve Detector
Support Vector Machine
Temporal Slices
Graphics and Human Computer Interfaces
Theory and Algorithms
NGO, Chong-wah
A robust dissolve detector by support vector machine
description In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representation of temporal slices extracted from 3D image volume. At the low-resolution (LR) scale, the problem of dissolve detection is reduced as cut transition detection. At the highresolution (HR) space, Gabor wavelet features are computed for regions that surround the cuts located at LR scale. The computed features are then input to support vector machines for pattern classification. Encouraging results have been obtained through experiments.
format text
author NGO, Chong-wah
author_facet NGO, Chong-wah
author_sort NGO, Chong-wah
title A robust dissolve detector by support vector machine
title_short A robust dissolve detector by support vector machine
title_full A robust dissolve detector by support vector machine
title_fullStr A robust dissolve detector by support vector machine
title_full_unstemmed A robust dissolve detector by support vector machine
title_sort robust dissolve detector by support vector machine
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/sis_research/6454
https://ink.library.smu.edu.sg/context/sis_research/article/7457/viewcontent/957013.957072.pdf
_version_ 1770575963489304576

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