About: WVD: A New Synthetic Dataset for Video-based Violence Detection

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #77170 WVD: A New Synthetic Dataset for Video-based Violence Detection
sameAs	WVD: A New Synthetic Dataset for Video-based Violence Detection
http://www.loc.gov...erms/relators/EDT	Max Bramer Miltos Petridis
http://eprints.org/ontology/hasAccepted	WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
http://eprints.org/ontology/hasDocument	WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF) WVD: A New Synthetic Dataset for Video-based Violence Detection (Other) WVD: A New Synthetic Dataset for Video-based Violence Detection (Other) WVD: A New Synthetic Dataset for Video-based Violence Detection (Other) WVD: A New Synthetic Dataset for Video-based Violence Detection (Other) WVD: A New Synthetic Dataset for Video-based Violence Detection (Other)
dc:hasVersion	WVD: A New Synthetic Dataset for Video-based Violence Detection (PDF)
Title	WVD: A New Synthetic Dataset for Video-based Violence Detection
described by	https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2019-11-19
Creator	Fatih Kurugollu Muhammad Shahroz Nadeem Virginia N. L. Franqueira Xiaojun Zhai
status	peer reviewed published
Publisher	Springer
abstract	Violence detection is becoming increasingly relevant in many areas such as for automatic content filtering, video surveillance and law enforcement. Existing datasets and methods discriminate between violent and non-violent scenes based on very abstract definitions of violence. Available datasets, such as "Hockey Fight" and "Movies", only contain fight versus non-fight videos; no weapons are discriminated in them. In this paper, we focus explicitly on weapon-based fighting sequences and propose a new dataset based on the popular action-adventure video game Grand Theft Auto-V (GTA-V). This new dataset is called "Weapon Violence Dataset" (WVD). The choice for a virtual dataset follows a trend which allows creating and labelling as sophisticated and large volume, yet realistic, datasets as possible. Furthermore, WVD also avoids the drawbacks of access to real data and potential implications. To the best of our knowledge no similar dataset, that captures weapon-based violence, exists. The paper evaluates the proposed dataset by utilising local feature descriptors using an SVM classifier. The extracted features are aggregated using the Bag of Visual Word (BoVW) technique to classify weapon-based violence videos. Our results indicate that SURF achieves the best performance.
Is Part Of	Financial Cryptography and Data Security https://kar.kent.ac.uk/id/repository
list of authors	https://kar.kent.ac.uk/id/eprint/77170#authors
list of editors	https://kar.kent.ac.uk/id/eprint/77170#editors
presented at	AI-2019 39th SGAI International Conference on Artificial Intelligence
volume	11927
is topic of	https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #77170 WVD: A New Synthetic Dataset for Video-based Violence Detection

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