Urban big data fusion based on deep learning: An overview
Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …
In recent years, various models and algorithms based on deep learning have been …
Cross-modality interactive attention network for multispectral pedestrian detection
Multispectral pedestrian detection is an emerging solution with great promise in many
around-the-clock applications, such as automotive driving and security surveillance. To …
around-the-clock applications, such as automotive driving and security surveillance. To …
Information fusion for multi-source material data: progress and challenges
The development of material science in the manufacturing industry has resulted in a huge
amount of material data, which are often from different sources and vary in data format and …
amount of material data, which are often from different sources and vary in data format and …
Detection of real-world fights in surveillance videos
CCTVs have since long been used to enforce security, eg to detect fights arising from many
different situations. But their effectiveness is questionable, because they rely on continuous …
different situations. But their effectiveness is questionable, because they rely on continuous …
SNSJam: Road traffic analysis and prediction by fusing data from multiple social networks
B Alkouz, Z Al Aghbari - Information Processing & Management, 2020 - Elsevier
The increased popularity of micro-blogging applications together with the widespread of
location-aware devices have resulted in the creation of large streams of geo-tagged data …
location-aware devices have resulted in the creation of large streams of geo-tagged data …
Deep architectures for content moderation and movie content rating
Rating a video based on its content is an important step for classifying video age categories.
Movie content rating and TV show rating are the two most common rating systems …
Movie content rating and TV show rating are the two most common rating systems …
The Detection of Violent Scenes in Cartoon Movies Using Deep Learning Approach
Cartoon movies are a primary source of entertainment for children. However, concerns arise
when these movies inadvertently expose children to violent scenes. This paper addresses …
when these movies inadvertently expose children to violent scenes. This paper addresses …
Learning strategies for sensitive content detection
D Povedano Álvarez, AL Sandoval Orozco… - Electronics, 2023 - mdpi.com
Currently, the volume of sensitive content on the Internet, such as pornography and child
pornography, and the amount of time that people spend online (especially children) have …
pornography, and the amount of time that people spend online (especially children) have …
Combating the elsagate phenomenon: Deep learning architectures for disturbing cartoons
Watching cartoons can be useful for children's intellectual, social and emotional
development. However, the most popular video sharing platform today provides many …
development. However, the most popular video sharing platform today provides many …
A survey on video content rating: taxonomy, challenges and open issues
A Khaksar Pour, W Chaw Seng… - Multimedia Tools and …, 2021 - Springer
Rating a video based on its content is one of the most important solutions to classify videos
for audience age groups. In this regard, Film content rating and TV programmes rating are …
for audience age groups. In this regard, Film content rating and TV programmes rating are …