A Shortest Path Representation for Video Summarisation

SV Porter; M Mirmehdi; BT Thomas

A Shortest Path Representation for Video Summarisation

SV Porter, M Mirmehdi, BT Thomas

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

22 Citations (Scopus)

Abstract

A novel approach is presented to select mulitple key frames within an isolated video shot where there is camera motion causing significant scene change. This is achieved by determining the dominant motion between frame pairs whose similarities are represented using a directed weighted graph. The shortest path in the graph, found using the A* search algorithm, designates the key frames. The overall method can be applied to extract a set of key frames which portray both the video content and camera motions, all of which are useful features for video indexing retrieval.

Translated title of the contribution	A Shortest Path Representation for Video Summarisation
Original language	English
Title of host publication	Unknown
Publisher	IEEE Computer Society
Pages	460 - 465
Number of pages	5
ISBN (Print)	0769519482
Publication status	Published - Sept 2003

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the 12th International Conference on Image Analysis and Processing

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@inproceedings{148118adc93b4640896a68200d23ddbf,

title = "A Shortest Path Representation for Video Summarisation",

abstract = "A novel approach is presented to select mulitple key frames within an isolated video shot where there is camera motion causing significant scene change. This is achieved by determining the dominant motion between frame pairs whose similarities are represented using a directed weighted graph. The shortest path in the graph, found using the A* search algorithm, designates the key frames. The overall method can be applied to extract a set of key frames which portray both the video content and camera motions, all of which are useful features for video indexing retrieval. ",

author = "SV Porter and M Mirmehdi and BT Thomas",

note = "Conference Proceedings/Title of Journal: Proceedings of the 12th International Conference on Image Analysis and Processing",

year = "2003",

month = sep,

language = "English",

isbn = "0769519482",

pages = "460 -- 465",

booktitle = "Unknown",

publisher = "IEEE Computer Society",

address = "United States",

}

TY - GEN

T1 - A Shortest Path Representation for Video Summarisation

AU - Porter, SV

AU - Mirmehdi, M

AU - Thomas, BT

N1 - Conference Proceedings/Title of Journal: Proceedings of the 12th International Conference on Image Analysis and Processing

PY - 2003/9

Y1 - 2003/9

N2 - A novel approach is presented to select mulitple key frames within an isolated video shot where there is camera motion causing significant scene change. This is achieved by determining the dominant motion between frame pairs whose similarities are represented using a directed weighted graph. The shortest path in the graph, found using the A* search algorithm, designates the key frames. The overall method can be applied to extract a set of key frames which portray both the video content and camera motions, all of which are useful features for video indexing retrieval.

AB - A novel approach is presented to select mulitple key frames within an isolated video shot where there is camera motion causing significant scene change. This is achieved by determining the dominant motion between frame pairs whose similarities are represented using a directed weighted graph. The shortest path in the graph, found using the A* search algorithm, designates the key frames. The overall method can be applied to extract a set of key frames which portray both the video content and camera motions, all of which are useful features for video indexing retrieval.

M3 - Conference Contribution (Conference Proceeding)

SN - 0769519482

SP - 460

EP - 465

BT - Unknown

PB - IEEE Computer Society

ER -

A Shortest Path Representation for Video Summarisation

Abstract

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