Vsd2014: a dataset for violent scenes detection in hollywood movies and web videos

M Schedi, M Sjöberg, I Mironică… - … on Content-Based …, 2015 - ieeexplore.ieee.org
In this paper, we introduce a violent scenes and violence-related concept detection dataset
named VSD2014. It contains annotations as well as auditory and visual features of …

Breaking down violence: A deep-learning strategy to model and classify violence in videos

BM Peixoto, S Avila, Z Dias, A Rocha - Proceedings of the 13th …, 2018 - dl.acm.org
Detecting violence in videos through automatic means is significant for law enforcement and
analysis of surveillance cameras with the intent of maintaining public safety. Moreover, it …

Evaluation of multiple features for violent scenes detection

V Lam, S Phan, DD Le, DA Duong, S Satoh - Multimedia Tools and …, 2017 - Springer
Violent scenes detection (VSD) is a challenging problem because of the heterogeneous
content, large variations in video quality, and complex semantic meanings of the concepts …

Combating the elsagate phenomenon: Deep learning architectures for disturbing cartoons

A Ishikawa, E Bollis, S Avila - 2019 7th International Workshop …, 2019 - ieeexplore.ieee.org
Watching cartoons can be useful for children's intellectual, social and emotional
development. However, the most popular video sharing platform today provides many …

Temporal robust features for violence detection

D Moreira, S Avila, M Perez, D Moraes… - 2017 IEEE Winter …, 2017 - ieeexplore.ieee.org
Automatically detecting violence in videos is paramount for enforcing the law and providing
the society with better policies for safer public places. In addition, it may be essential for …

Multimodal data fusion for sensitive scene localization

D Moreira, S Avila, M Perez, D Moraes, V Testoni… - Information …, 2019 - Elsevier
The very idea of hiring humans to avoid the indiscriminate spread of inappropriate sensitive
content online (eg, child pornography and violence) is daunting. The inherent data deluge …

Breaking down violence detection: Combining divide-et-impera and coarse-to-fine strategies

E Acar, F Hopfgartner, S Albayrak - Neurocomputing, 2016 - Elsevier
In today׳ s society where audio–visual content is ubiquitous, violence detection in movies
and Web videos has become a decisive functionality, eg, for providing automated youth …

Multi-perspective cost-sensitive context-aware multi-instance sparse coding and its application to sensitive video recognition

W Hu, X Ding, B Li, J Wang, Y Gao… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
With the development of video-sharing websites, P2P, micro-blog, mobile WAP websites,
and so on, sensitive videos can be more easily accessed. Effective sensitive video …

A class of close-to-optimum adder trees allowing regular and compact layout

ZJ Mou, F Jutand - … Conference on Computer Design: VLSI in …, 1990 - ieeexplore.ieee.org
Wallace trees are well known for the design of the theoretically fastest multioperand adder.
However, their complex interconnections can hardly give access to a practical …

Convolutional Neural Networks Based Video Anomaly Detection Approaches

X Wang - Anomaly Detection in Video Surveillance, 2024 - Springer
Video anomaly detection can be viewed as image anomaly detection with a temporal
component since a video is composed of a time sequence of images. From this point of view …