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Journal of Imaging, Volume 8, Issue 3

March 2022 - 32 articles

Cover Story: Visual tracking is still an open challenge in computer vision, especially with mobile cameras and in the wild. Errors in the target’s bounding-box estimations accumulate over time and yield to drifting of the tracker. Hence, bounding-box estimations must be as precise as possible in each frame. This article proposes a new iterative procedure to locate the target in the image by gradually refining its bounding box. It also introduces the idea of non-conflicting bounding-box transformations, which allows applying multiple refinements to the target’s bounding box without introducing ambiguities when learning parameters. The empirical results demonstrate that the proposed approach improves the single iterative refinement in terms of accuracy of tracking results. View this paper
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Articles (32)

  • Article
  • Open Access
6 Citations
3,755 Views
9 Pages

Annotating microscopy images for nuclei segmentation by medical experts is laborious and time-consuming. To leverage the few existing annotations, also across multiple modalities, we propose a novel microscopy-style augmentation technique based on a...

  • Article
  • Open Access
21 Citations
5,477 Views
14 Pages

Cardiovascular diseases (CVDs) are the primary cause of death. Every year, many people die due to heart attacks. The electrocardiogram (ECG) signal plays a vital role in diagnosing CVDs. ECG signals provide us with information about the heartbeat. EC...

  • Article
  • Open Access
8 Citations
3,041 Views
15 Pages

Seamless Copy–Move Replication in Digital Images

  • Tanzeela Qazi,
  • Mushtaq Ali,
  • Khizar Hayat and
  • Baptiste Magnier

The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries. The core category in passive image forgery is copy–move image forgery that affects the ori...

  • Article
  • Open Access
2 Citations
3,285 Views
14 Pages

Photo2Video: Semantic-Aware Deep Learning-Based Video Generation from Still Content

  • Paula Viana,
  • Maria Teresa Andrade,
  • Pedro Carvalho,
  • Luis Vilaça,
  • Inês N. Teixeira,
  • Tiago Costa and
  • Pieter Jonker

Applying machine learning (ML), and especially deep learning, to understand visual content is becoming common practice in many application areas. However, little attention has been given to its use within the multimedia creative domain. It is true th...

  • Article
  • Open Access
2 Citations
4,254 Views
16 Pages

The four bands of fully polarimetric SAR data convey scattering characteristics of the Earth’s background, but perceptually are not very easy for an observer to use. In this work, the four different channels of fully polarimetric SAR images, na...

  • Article
  • Open Access
39 Citations
4,552 Views
12 Pages

An Empirical Evaluation of Convolutional Networks for Malaria Diagnosis

  • Andrea Loddo,
  • Corrado Fadda and
  • Cecilia Di Ruberto

Malaria is a globally widespread disease caused by parasitic protozoa transmitted to humans by infected female mosquitoes of Anopheles. It is caused in humans only by the parasite Plasmodium, further classified into four different species. Identifyin...

  • Feature Paper
  • Review
  • Open Access
44 Citations
7,929 Views
18 Pages

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic

  • Jing Wang,
  • Xiaofeng Yang,
  • Boran Zhou,
  • James J. Sohn,
  • Jun Zhou,
  • Jesse T. Jacob,
  • Kristin A. Higgins,
  • Jeffrey D. Bradley and
  • Tian Liu

Ultrasound imaging of the lung has played an important role in managing patients with COVID-19–associated pneumonia and acute respiratory distress syndrome (ARDS). During the COVID-19 pandemic, lung ultrasound (LUS) or point-of-care ultrasound...

  • Article
  • Open Access
24 Citations
5,063 Views
23 Pages

Rethinking Weight Decay for Efficient Neural Network Pruning

  • Hugo Tessier,
  • Vincent Gripon,
  • Mathieu Léonardon,
  • Matthieu Arzel,
  • Thomas Hannagan and
  • David Bertrand

Introduced in the late 1980s for generalization purposes, pruning has now become a staple for compressing deep neural networks. Despite many innovations in recent decades, pruning approaches still face core issues that hinder their performance or sca...

  • Article
  • Open Access
2 Citations
2,467 Views
15 Pages

3D facial surface imaging is a useful tool in dentistry and in terms of diagnostics and treatment planning. Between-group PCA (bgPCA) is a method that has been used to analyse shapes in biological morphometrics, although various “pathologies&rd...

  • Article
  • Open Access
8 Citations
4,248 Views
13 Pages

A Real-Time Method for Time-to-Collision Estimation from Aerial Images

  • Daniel Tøttrup,
  • Stinus Lykke Skovgaard,
  • Jonas le Fevre Sejersen and
  • Rui Pimentel de Figueiredo

Large vessels such as container ships rely on experienced pilots with extensive knowledge of the local streams and tides responsible for maneuvering the vessel to its desired location. This work proposes estimating time-to-collision (TTC) between mov...

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J. Imaging - ISSN 2313-433X