Using control charts for on-line video summarisation

Many existing methods for video summarisation are not suitable for on-line applications, where computational and memory constraints mean that feature extraction and frame selection must be simple and efficient. Our proposed method uses RGB moments to represent frames, and a control-chart procedure t...

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Bibliographic Details
Main Authors: Matthews Clare E., Yousefi Paria, Kuncheva Ludmila I.
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/26/matecconf_jcmme2018_01012.pdf
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spelling doaj-15abf76a75834e6d99ce6d95f5f887492021-03-02T10:43:20ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012770101210.1051/matecconf/201927701012matecconf_jcmme2018_01012Using control charts for on-line video summarisationMatthews Clare E.Yousefi PariaKuncheva Ludmila I.Many existing methods for video summarisation are not suitable for on-line applications, where computational and memory constraints mean that feature extraction and frame selection must be simple and efficient. Our proposed method uses RGB moments to represent frames, and a control-chart procedure to identify shots from which keyframes are then selected. The new method produces summaries of higher quality than two state-of-the-art on-line video summarisation methods identified as the best among nine such methods in our previous study. The summary quality is measured against an objective ideal for synthetic data sets, and compared to user-generated summaries of real videos.https://www.matec-conferences.org/articles/matecconf/pdf/2019/26/matecconf_jcmme2018_01012.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Matthews Clare E.
Yousefi Paria
Kuncheva Ludmila I.
spellingShingle Matthews Clare E.
Yousefi Paria
Kuncheva Ludmila I.
Using control charts for on-line video summarisation
MATEC Web of Conferences
author_facet Matthews Clare E.
Yousefi Paria
Kuncheva Ludmila I.
author_sort Matthews Clare E.
title Using control charts for on-line video summarisation
title_short Using control charts for on-line video summarisation
title_full Using control charts for on-line video summarisation
title_fullStr Using control charts for on-line video summarisation
title_full_unstemmed Using control charts for on-line video summarisation
title_sort using control charts for on-line video summarisation
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description Many existing methods for video summarisation are not suitable for on-line applications, where computational and memory constraints mean that feature extraction and frame selection must be simple and efficient. Our proposed method uses RGB moments to represent frames, and a control-chart procedure to identify shots from which keyframes are then selected. The new method produces summaries of higher quality than two state-of-the-art on-line video summarisation methods identified as the best among nine such methods in our previous study. The summary quality is measured against an objective ideal for synthetic data sets, and compared to user-generated summaries of real videos.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/26/matecconf_jcmme2018_01012.pdf
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