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Mingyong Yin, Yixiao Xu, Teng Hu and Xiaolei Liu
Despite the success of learning-based systems, recent studies have highlighted video adversarial examples as a ubiquitous threat to state-of-the-art video classification systems. Video adversarial attacks add subtle noise to the original example, resulti...
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Theodoros Psallidas and Evaggelos Spyrou
During the last few years, several technological advances have led to an increase in the creation and consumption of audiovisual multimedia content. Users are overexposed to videos via several social media or video sharing websites and mobile phone appli...
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Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ...
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Nino Cauli and Diego Reforgiato Recupero
In most Computer Vision applications, Deep Learning models achieve state-of-the-art performances. One drawback of Deep Learning is the large amount of data needed to train the models. Unfortunately, in many applications, data are difficult or expensive t...
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Ruixin Ma, Kexin Bao and Yong Yin
Video-based ship object detection has long been a popular research issue that has received attention in the water transportation industry. However, in low-illumination environments, such as at night or in fog, the water environment has a complex variety ...
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Sirine Ammar, Thierry Bouwmans and Mahmoud Neji
Recently, Deep Neural Networks (DNNs) have become a central subject of discussion in computer vision for a broad range of applications, including image classification and face recognition. Compared to existing conventional machine learning methods, deep ...
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Jiangfan Feng and Juncai Li
Image recording is now ubiquitous in the fields of endangered-animal conservation and GIS. However, endangered animals are rarely seen, and, thus, only a few samples of images of them are available. In particular, the study of endangered-animal detection...
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Aminollah Khormali and Jiann-Shiun Yuan
Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet serious privacy risks threatening digital media?s integrity and trustworthiness, specifically digital video, through synthesizing hyper-realistic images and videos, i.e., Dee...
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Roman Kazantsev,Sergey Zvezdakov,Dmitriy Vatolin
Pág. 33 - 38
In this paper we propose hand-crafted physical features for video that can be used in a wide range of different regression and classification problems in video processing. For evaluation of resulted set of features we consider video genre classification ...
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Minseok Kim, Sung Ho Choi, Kyeong-Beom Park and Jae Yeol Lee
Smart glasses for wearable augmented reality (AR) are widely used in various applications, such as training and task assistance. However, as the field of view (FOV) in the current AR smart glasses is narrow, it is difficult to visualize all the informati...
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