Image Compression Network Structure Based on Multiscale Region of Interest Attention Network
Remote Sensing, 2023 In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI.
Jing Zhang +4 more
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Left ventricular myocardial strain in neonates is influenced by the definition of the basal region of interest [PDF]
Echo Research and PracticeObjective Previous studies have examined the effects of various acquisition- and post-processing parameters such as frame rate/heart rate ratio, probe frequency, smoothing, drift compensation, and region of interest width on strain in the perinatal age ...
Tom Roar Omdal +8 more
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Can we distinguish conventional osteosarcoma subtypes (osteoblastic and chondroblastic) based on their magnetic resonance signal intensities? [PDF]
Srpski Arhiv za Celokupno Lekarstvo, 2023 Introduction/Objectives. Osteosarcoma is the most common primary malignant bone tumor in adolescents and young adults, with a tendency to produce variable amounts of osteoid, cartilage, and fibrous matrices.
Gülçin Bozbeyoğlu Sabriye +1 more
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Semantic embedding for regions of interest [PDF]
The VLDB Journal, 2021 AbstractThe available spatial data are rapidly growing and also diversifying. One may obtain in large quantities information such as annotated point/place of interest (POIs), check-in comments on those POIs, geo-tagged microblog comments, and demarked regions of interest (ROI).
Debjyoti Paul +2 more
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Improved Open World Object Detection Using Class-Wise Feature Space Learning
IEEE Access, 2023 Open-world object detection is a challenging set of tasks in the realm of computer vision. In these tasks, the object detection model processes the input image or video and undergoes inference to identify objects or features present in the image or video.
Muhammad Ali Iqbal +3 more
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Robust Underwater Image Classification Using Image Segmentation, CNN, and Dynamic ROI Approximation
Engineering Proceedings, 2022 Finding classified rectangular regions of interest (ROIs) in underwater images is still a challenge, and more so if the images pose low quality with respect to illumination conditions, sharpness, and noise.
Stefan Bosse, Parth Kasundra
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A Region of Interest Selection for Vision-Based Respiratory Rate Measurement in Sleeping Scenario
IEEE Access, 2020 Vision-based respiratory measurement can remotely measure respiratory information without affecting the sleep quality of the user. However, several scenarios during sleeping, such as when blankets cover areas of the face or body, can be a challenge when ...
Bing-Fei Wu +4 more
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Transmission of Digital Data in the 5G Era: Compression and Privacy
Information, 2023 The vast majority of compressed digital data that flows nowadays on modern high-speed networks is directly related to human activity. It describes what we do, what we see and photograph, where we go, whom we meet, and specifically every moment of our ...
Bruno Carpentieri, Francesco Palmieri
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A Suggested System For Palmprint Recognition Using Curvelet Transform And Co-Occurrence Matrix. [PDF]
مجلة التربية والعلم, 2021 The main purpose of this paper is to create a palmprint recognition system (PPRS) that uses the curvelet transform and co-occurrence matrix to recognize a hand's palmprint.
meaad alhadidi
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Searching Trajectories by Regions of Interest [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2017 With the increasing availability of moving-object tracking data, trajectory search is increasingly important. We propose and investigate a novel query type named trajectory search by regions of interest (TSR query). Given an argument set of trajectories, a TSR query takes a set of regions of interest as a parameter and returns the trajectory in the ...
Shuo Shang +4 more
openaire +4 more sources