Affect in multimedia: Benchmarking violent scenes detection

MG Constantin, LD Ştefan, B Ionescu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this article, we report on the creation of a publicly available, common evaluation
framework for Violent Scenes Detection (VSD) in Hollywood and YouTube videos. We …

On influential trends in interactive video retrieval: video browser showdown 2015–2017

J Lokoč, W Bailer, K Schoeffmann… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The last decade has seen innovations that make video recording, manipulation, storage,
and sharing easier than ever before, thus impacting many areas of life. New video retrieval …

Affective computing for large-scale heterogeneous multimedia data: A survey

S Zhao, S Wang, M Soleymani, D Joshi… - ACM Transactions on …, 2019 - dl.acm.org
The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …

Object detection using deep cnns trained on synthetic images

PS Rajpura, H Bojinov, RS Hegde - arXiv preprint arXiv:1706.06782, 2017 - arxiv.org
The need for large annotated image datasets for training Convolutional Neural Networks
(CNNs) has been a significant impediment for their adoption in computer vision applications …

Multimodal local-global attention network for affective video content analysis

Y Ou, Z Chen, F Wu - … Transactions on Circuits and Systems for …, 2020 - ieeexplore.ieee.org
With the rapid development of video distribution and broadcasting, affective video content
analysis has attracted a lot of research and development activities recently. Predicting …

[HTML][HTML] Inflated 3D ConvNet context analysis for violence detection

D Freire-Obregón, P Barra… - Machine Vision and …, 2022 - Springer
Abstract According to the Wall Street Journal, one billion surveillance cameras will be
deployed around the world by 2021. This amount of information can be hardly managed by …

Harnessing ai for augmenting creativity: Application to movie trailer creation

JR Smith, D Joshi, B Huet, W Hsu, J Cota - Proceedings of the 25th ACM …, 2017 - dl.acm.org
In this paper, we describe the first-ever machine human collaboration at creating a real
movie trailer (officially released by 20 th Century Fox). We introduce an intelligent system …

Affective video content analysis: A multidisciplinary insight

Y Baveye, C Chamaret, E Dellandréa… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In our present society, the cinema has become one of the major forms of entertainment
providing unlimited contexts of emotion elicitation for the emotional needs of human beings …

[PDF][PDF] Fudan-Huawei at MediaEval 2015: Detecting Violent Scenes and Affective Impact in Movies with Deep Learning.

Q Dai, RW Zhao, Z Wu, X Wang, Z Gu, W Wu… - …, 2015 - zxwu.azurewebsites.net
Techniques for violent scene detection and affective impact prediction in videos can be
deployed in many applications. In MediaEval 2015, we explore deep learning methods to …

Literature Review of Deep-Learning-Based Detection of Violence in Video

P Negre, RS Alonso, A González-Briones, J Prieto… - Sensors, 2024 - mdpi.com
Physical aggression is a serious and widespread problem in society, affecting people
worldwide. It impacts nearly every aspect of life. While some studies explore the root causes …