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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Autohighlight: Highlight detection in League of Legends esports broadcasts via crowd-sourced data
Description
An account of the resource
Ringer, C., Nicolaou, M. A., & Walker, J. A. (2022). Autohighlight: Highlight detection in League of Legends esports broadcasts via crowd-sourced data. Machine Learning with Applications, 100338.
Creator
An entity primarily responsible for making the resource
Ringer, C., Nicolaou, M. A., & Walker, J. A.
Date
A point or period of time associated with an event in the lifecycle of the resource
2022
Publisher
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Machine Learning with Applications
Language
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English
Type
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Journal Paper
Identifier
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<a href="https://doi.org/10.1016/j.mlwa.2022.100338" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mlwa.2022.100338</a>
deep learning
highlight detection
livestreaming
neural networks
Ranking networks
Weakly supervised learning
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Deep unsupervised multi-view detection of video game stream highlights
Description
An account of the resource
Ringer, C., & Nicolaou, M. A. (2018). Deep unsupervised multi-view detection of video game stream highlights. In Proceedings of the 13th International Conference on the Foundations of Digital Games (pp. 1-6).
Creator
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Ringer, C., & Nicolaou, M. A.
Date
A point or period of time associated with an event in the lifecycle of the resource
2018
Publisher
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International Conference on the Foundations of Digital Games
Language
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English
Type
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Conference Paper
Identifier
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<a href="https://doi.org/10.1145/3235765.3235781" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3235765.3235781</a>
Event detection
highlight detection
Video game stream analysis
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Event detection and highlight detection of broadcasted game videos
Description
An account of the resource
Chu, W. T., & Chou, Y. C. (2015). Event detection and highlight detection of broadcasted game videos. In Proceedings of the 2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication (pp. 1-8).
Creator
An entity primarily responsible for making the resource
Chu, W. T., & Chou, Y. C.
Date
A point or period of time associated with an event in the lifecycle of the resource
2015
Publisher
An entity responsible for making the resource available
Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference Paper
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1145/2810397.2810398" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/2810397.2810398</a>
Event detection
game video analysis
highlight detection