Towards Intelligent Content Based Retrieval of Wildlife Videos

Janko Calic; N Campbell; A Calway; M Mirmehdi; Tilo Burghardt; Sion L Hannuna; Changming Kong; Sarah V Porter; C N Canagarajah; David Bull

Towards Intelligent Content Based Retrieval of Wildlife Videos

Janko Calic, N Campbell, A Calway, M Mirmehdi, Tilo Burghardt, Sion L Hannuna, Changming Kong, Sarah V Porter, C N Canagarajah, David Bull

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

Abstract

In this paper we describe a system that embarks upon the problem of efficient video processing and representation for automatic semantic classification and modelling for indexing and retrieval of large multimedia databases. The major focus of the system is the integration of a large-scale wildlife digital video archive with manually annotated semantic metadata organised in a structured taxonomy and media classification system. Our research challenges the problems of temporal analysis of video, intelligent key-frame extraction and summarisation, animal gait analysis, unsupervised semantic modelling and classification and identification of individual animals. In order to evaluate the system a demonstrator is being developed as a part of the ICBR project within the 3C Research programme of convergent technology research for digital media processing and communications.

Translated title of the contribution	Towards Intelligent Content Based Retrieval of Wildlife Videos
Original language	English
Title of host publication	Unknown
Publication status	Published - Apr 2005

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Conference Proceedings/Title of Journal: Proceedings of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005)

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@inproceedings{31c5df485b364fab9724158482ec9d68,

title = "Towards Intelligent Content Based Retrieval of Wildlife Videos",

abstract = "In this paper we describe a system that embarks upon the problem of efficient video processing and representation for automatic semantic classification and modelling for indexing and retrieval of large multimedia databases. The major focus of the system is the integration of a large-scale wildlife digital video archive with manually annotated semantic metadata organised in a structured taxonomy and media classification system. Our research challenges the problems of temporal analysis of video, intelligent key-frame extraction and summarisation, animal gait analysis, unsupervised semantic modelling and classification and identification of individual animals. In order to evaluate the system a demonstrator is being developed as a part of the ICBR project within the 3C Research programme of convergent technology research for digital media processing and communications. ",

author = "Janko Calic and N Campbell and A Calway and M Mirmehdi and Tilo Burghardt and Hannuna, {Sion L} and Changming Kong and Porter, {Sarah V} and Canagarajah, {C N} and David Bull",

note = "Conference Proceedings/Title of Journal: Proceedings of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005)",

year = "2005",

month = apr,

language = "English",

booktitle = "Unknown",

}

TY - GEN

T1 - Towards Intelligent Content Based Retrieval of Wildlife Videos

AU - Calic, Janko

AU - Campbell, N

AU - Calway, A

AU - Mirmehdi, M

AU - Burghardt, Tilo

AU - Hannuna, Sion L

AU - Kong, Changming

AU - Porter, Sarah V

AU - Canagarajah, C N

AU - Bull, David

N1 - Conference Proceedings/Title of Journal: Proceedings of the 6th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2005)

PY - 2005/4

Y1 - 2005/4

N2 - In this paper we describe a system that embarks upon the problem of efficient video processing and representation for automatic semantic classification and modelling for indexing and retrieval of large multimedia databases. The major focus of the system is the integration of a large-scale wildlife digital video archive with manually annotated semantic metadata organised in a structured taxonomy and media classification system. Our research challenges the problems of temporal analysis of video, intelligent key-frame extraction and summarisation, animal gait analysis, unsupervised semantic modelling and classification and identification of individual animals. In order to evaluate the system a demonstrator is being developed as a part of the ICBR project within the 3C Research programme of convergent technology research for digital media processing and communications.

AB - In this paper we describe a system that embarks upon the problem of efficient video processing and representation for automatic semantic classification and modelling for indexing and retrieval of large multimedia databases. The major focus of the system is the integration of a large-scale wildlife digital video archive with manually annotated semantic metadata organised in a structured taxonomy and media classification system. Our research challenges the problems of temporal analysis of video, intelligent key-frame extraction and summarisation, animal gait analysis, unsupervised semantic modelling and classification and identification of individual animals. In order to evaluate the system a demonstrator is being developed as a part of the ICBR project within the 3C Research programme of convergent technology research for digital media processing and communications.

M3 - Conference Contribution (Conference Proceeding)

BT - Unknown

ER -

Towards Intelligent Content Based Retrieval of Wildlife Videos

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