Research Infinity - All Articles

Physics Maths Engineering

HYBRID SCHEMES BASED ON WAVELET TRANSFORM AND CONVOLUTIONAL AUTO-ENCODER FOR IMAGE COMPRESSION

In recent years, image compression techniques have received a lot of attention from researchers as the number of images at hand keep growing. Digital Wavelet Transform is one of them that has been utilized in a wide range of applications and has shown its efficiency in image compression field. Moreover, used with other various approaches, this compression technique has proven its ability to compre...
Posted 1 year ago

Physics Maths Engineering

Convolutional Neural Network-Based Automated System for Dog Tracking and Emotion Recognition in Video Surveillance

This paper proposes a multi–convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and recognizes the dogs’ emotions. The system uses a YOLOv3 model for dog detection. The dogs are tracked in real time with a deep association met...
Posted 1 year ago

Physics Maths Engineering

Memorable beginnings, but forgettable endings: Intrinsic scene memorability alters our subjective experience of time

Time is the fabric of experience — yet it is incredibly malleable in the mind of the observer: seeming to drag on, or fly right by at different moments. One of the most influential drivers of temporal distortions is attention, where heightened attention dilates subjective time. But an equally important feature of subjective experience involves not just the objects of attention, but also what inf...
Posted 1 year ago

Physics Maths Engineering

FitDepth: fast and lite 16-bit depth image compression algorithm

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

E2E-BPF microscope: Extended depth-of-field microscopy using learning-based implementation of binary phase filter and image deconvolution

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

Improving Chest X-ray Report Generation by Leveraging Text of Similar Images

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 easily added...
Posted 1 year ago

Physics Maths Engineering

Robust Evidence C-Means Clustering Combining Spatial Information for Image Segmentation

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

Attention Inspiring Receptive-Fields Multi-Task Network via Self- supervised Learning for Violence Recognition

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

Image-Based Malware Detection Using α-Cuts and Binary Visualisation

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

An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database

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