Physics Maths Engineering
Abstract This article presents a fast parallel lossless technique and a lossy image compression technique for 16-bit single-channel images. Nowadays, such techniques are “a must” in robotics and other areas where several depth cameras are used. Since many of these algorithms need to be run in low-profile hardware, as embedded systems, they should be very fast and customizable. The proposal is ...
Posted 1 year ago
Physics Maths Engineering
Abstract Several image-based biomedical diagnoses require high-resolution imaging capabilities at large spatial scales. However, conventional microscopes exhibit an inherent trade-off between depth-of-field (DoF) and spatial resolution, and thus require objects to be refocused at each lateral location, which is time-consuming. Here, we present a computational imaging platform, termed E2E-BPF micro...
Posted 1 year ago
Physics Maths Engineering
Abstract Automatic medical report generation is the production of reports from radiology images that are grammatically correct and coherent. Encoder-decoder is the most common architecture for report generation, which has not achieved to a satisfactory performance because of the complexity of this task. This paper presents an approach to improve the performance of report generation that can be eas...
Posted 1 year ago
Physics Maths Engineering
Rong Lan,
Rong Lan
Xi’an University of Posts and Telecommunications
info@rnfinity.com
Haowen Mi,
Haowen Mi
Xi’an University of Posts and Telecommunications
1466403072@qq.com
Feng Zhao,
Feng Zhao
Xi’an University of Posts and Telecommunications
info@rnfinity.com
Haiyan Yu,
Haiyan Yu
Xi’an University of Posts and Telecommunications
info@rnfinity.com
Abstract Although evidence c-means clustering (ECM) based on evidence theory overcomes the limitations of fuzzy theory to some extent and improves the capability of fuzzy c-means clustering (FCM) to express and process the uncertainty of information, the ECM does not consider the spatial information of pixels, which makes it to be unable to effectively deal with noise pixels. Applying ECM directly...
Posted 1 year ago
Physics Maths Engineering
Abstract Generally, a large amount of training data is essential to train deep learning model for obtaining more accurate detection performance in computer vision domain. However, to collect and annotate datasets will lead to extensive cost. In this letter, we propose a self-supervised auxiliary task to learn general videos features without adding any human-annotated labels, aiming at improving th...
Posted 1 year ago
Physics Maths Engineering
Betty Saridou,
Betty Saridou
Lab of Mathematics and Informatics (ISCE), Faculty of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace
dsaridou@civil.duth.gr
Basil Papadopoulos
Basil Papadopoulos
Lab of Mathematics and Informatics (ISCE), Faculty of Mathematics, Programming and General Courses, Department of Civil Engineering, School of Engineering, Democritus University of Thrace
papadob@civil.duth.gr
Image conversion of malicious binaries, or binary visualisation, is a relevant approach in the security community. Recently, it has exceeded the role of a single-file malware analysis tool and has become a part of Intrusion Detection Systems (IDSs) thanks to the adoption of Convolutional Neural Networks (CNNs). However, there has been little effort toward image segmentation for the converted image...
Posted 1 year ago
Physics Maths Engineering
Zilu Zhao,
Zilu Zhao
Aerospace Information Research Institute, Chinese Academy of Sciences
info@rnfinity.com
Hui Long,
Hui Long
Aerospace Information Research Institute, Chinese Academy of Sciences
longhui@aircas.ac.cn
Hongjian You
Hongjian You
Aerospace Information Research Institute, Chinese Academy of Sciences
info@rnfinity.com
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high real-time data processing requirements. The effective and reliable geometric positioning of remote sensing images is the foundation of remote sen...
Posted 1 year ago
Physics Maths Engineering
This article develops the applicability of non-linear processing techniques such as Compressed Sensing (CS), Principal Component Analysis (PCA), Iterative Adaptive Approach (IAA), and Multiple-input-multiple-output (MIMO) for the purpose of enhanced UAV detections using portable radar systems. The combined scheme has many advantages and the potential for better detection and classification accurac...
Posted 1 year ago
Physics Maths Engineering
Youchen Fan,
Youchen Fan
School of Space Information, Space Engineering University
love193777@sina.com
Mingyu Qin,
Mingyu Qin
Graduate School, Space Engineering University
info@rnfinity.com
Huichao Guo,
Huichao Guo
Department of Electronic and Optical Engineering, Space Engineering University
info@rnfinity.com
Laixian Zhang
Laixian Zhang
Department of Electronic and Optical Engineering, Space Engineering University
info@rnfinity.com
The range-gated laser imaging instrument can capture face images in a dark environment, which provides a new idea for long-distance face recognition at night. However, the laser image has low contrast, low SNR and no color information, which affects observation and recognition. Therefore, it becomes important to convert laser images into visible images and then identify them. For image translation...
Posted 1 year ago
Physics Maths Engineering
Ilias Gialampoukidis,
Ilias Gialampoukidis
Information Technologies Institute, Centre for Research and Technology Hellas
heliasgj@iti.gr
Thomas Papadimos,
Thomas Papadimos
Information Technologies Institute, Centre for Research and Technology Hellas
info@rnfinity.com
Stelios Andreadis,
Stelios Andreadis
Information Technologies Institute, Centre for Research and Technology Hellas
info@rnfinity.com
Stefanos Vrochidis,
Stefanos Vrochidis
Information Technologies Institute, Centre for Research and Technology Hellas
info@rnfinity.com
Ioannis Kompatsiaris
Ioannis Kompatsiaris
Information Technologies Institute, Centre for Research and Technology Hellas
info@rnfinity.com
This paper discusses the importance of detecting breaking events in real time to help emergency response workers, and how social media can be used to process large amounts of data quickly. Most event detection techniques have focused on either images or text, but combining the two can improve performance. The authors present lessons learned from the Flood-related multimedia task in MediaEval2020, ...
Posted 1 year ago