Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.

In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.

An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:

    Comments on success and challenges in a (sub-) field of computer vision,
    Remarks on new frontiers in computer vision
    Observations on current practices and trends in research, and suggestions for overcoming unsatisfying aspects
    Observations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspects
    Reviews of early seminal work that may have fallen out of fashion
    Summaries of the evolution of one's line of research
    Recommendations for educating new generations of vision researchers.

The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.

Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.

Special Issue on Selected Extended Works from 9th International Conference on Computer Vision & Image Processing (CVIP)
截稿日期: 2024-12-31

CVIP is a prestigious annual conference dedicated to the latest advancements in Computer Vision and Image Processing. Renowned for its high-quality submissions, it serves as a platform that brings together young researchers, academics, and industry experts in a single venue. 9th CVIP 2024 scheduled to be hosted at Indian Institute of Information Technology Design and Manufacturing, Kancheepuram (IIITDM Kancheepuram), India during 19-21 December, 2024 is endorsed by the International Association for Pattern Recognition (IAPR).

All the accepted and presented papers will be submitted for publication with Communications in Computer and Information Science (CCIS), Springer. The special issue on Selected Extended Works from 9th International Conference on Computer Vision & Image Processing (CVIP 2024) appearing in Image and Vision Computing will feature the extended versions of a few excellent works presented and published in CVIP 2024.

The call for paper welcomes the extended high-quality original research from CVIP that represents methodological innovations in the area of artificial intelligence, computer vision and image processing and other allied areas. Prospective authors will be invited to submit their extended contributions on a wide range of topics, including but not limited to:

    Activity Detection/ Recognition
    Biometrics, Forensics, Content Protection
    Compressed Image/ Video Analytics
    Computational Imaging
    Datasets and Evaluation
    Deep Learning for Computer Vision
    Document and Synthetic Visual Processing
    Document Image Analysis
    Explainable AI for Computer Vision
    Face, Iris, Emotion, Sign Language and Gesture Recognition
    Generative AI for Computer Vision
    Human Computer Interaction
    Image Enhancement /Super Resolution / Restoration
    Image/ Video Processing for Autonomous Vehicles
    Image/ Video Retrieval
    Image/ Video Scene Understanding
    Image/ Video Security and Quality Assessment
    Medical Image Analysis
    Motion and Tracking
    Remote Sensing, Hyperspectral Image Processing
    Segmentation and Shape Representation
    Vision based Human Gait Analysis
    Visual Sensor Hardware, Visual Surveillance
    3D Image/ Video Processing

Guest editors:

Prof. Mohan Kankanhalli, PhD
National University of Singapore, Singapore, Singapore
(mohan@comp.nus.edu.sg)

Prof R. Balasubramanian, PhD
IIT Roorkee, Roorkee, India
(bala@cs.iitr.ac.in)

Dr. Subrahmanyam Murala, PhD
Trinity College Dublin, Dublin, Ireland
(muralas@tcd.ie)

Dr. Jagadeesh Kakarla, PhD
IIITDM Kancheepuram, Chennai, India
(jagadeeshk@iiitdm.ac.in)

Dr. Sambit Bakshi, PhD
NIT Rourkela, Rourkela, India
(bakshisambit@ieee.org)

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from 30th November, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: CVIP2024” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Image and Vision Computing - ISSN 0262-8856 (elsevier.com).

Important Dates:

Selected authors of CVIP conference invited on: 31 Oct 2024
Submission Open Date: 30 Nov 2024
Final Manuscript Submission Deadline: 31 Dec 2024
First Round review: 15 Mar 2025
Second Round Review: 15 April 2025
Editorial Acceptance Deadline: 15 May 2025

Keywords:

Computer Vision, Image Processing, Deep Learning, Biometrics, Activity Recognition, Medial Image Processing, Generative AI, Explainable AI.

Special Issue on Embodied Artificial Intelligence for Robotic Vision and Navigation
截稿日期: 2025-01-30

Embodied Artificial Intelligence has emerged as an essential area for research and applications. Unlike traditional AI systems that operate solely in the digital realm, Embodied AI seeks to imbue machines with a physical presence, enabling them to perceive, interact, and learn from the real world. Robotic Vision and Navigation integrates computer vision techniques to process and make sense of visual data, such as images or videos, allowing the AI system to perceive obstacles, recognize landmarks, and navigate through complex surroundings. This capability is essential for embodied AI to function autonomously in diverse environments, such as homes, offices, or outdoor spaces. This special issue seeks original contributions towards advancing the theory, architecture, and algorithmic design for Vision and Navigation systems in Embodied AI, as well as their novel applications and use cases. Topics of interest include (but are not limited to) with:

Embodied Artificial Intelligence
Robotic Vision
Visual-Language Navigation
Embodied AI with Large foundation Models
Embodied Question Answering
Multi-modality Fusion and Understanding
Multi-agent Reinforcement Learning

Guest editors:
Xiao Bai, PhDBeihang University, Beijing, China
Haonan Luo, PhDSouthwest Jiaotong University, Chengdu, China
Zechao Li, PhDNanjing University of Science and Technology, Nanjing, China
Joey Tianyi Zhou, PhDNational University of Singapore, Singapore, Singapore

Manuscript submission information:
The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from May 30th, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Embodied AI” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Image and Vision Computing - ISSN 0262-8856 (elsevier.com). 

Important Dates:
Submission Open Date: May 30th, 2024
Final Manuscript Submission Deadline: January 30th, 2025
Editorial Acceptance Deadline: March 30th, 2025

Special Issue on Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision
截稿日期: 2025-02-07

The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.

Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.

The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision. Topics include, but are certainly not limited to:

    Responsible image synthesis
    Generative models
    Assessing and comparing AI explanations
    Researching causal learning and inference
    Synthetic medical data with clinical information
    Innovative synthesis of biometric data
    Generating natural language for explanations
    AI transparency and fairness
    Learning from synthetic data
    Interpreting biometric models and vulnerabilities
    Fairness enhancement with synthetic data

Guest editors:

Lucia Cascone, PhD
University of Salerno, Fisciano, Italy
lcascone@unisa.it

Zilong Huang, PhD
TikTok Information Technologies UK Limited, London, United Kingdom
zilonghuang2020@gmail.com

Ana F. Sequeira, PhD
Institute for Systems and Computer Engineering Technology and Science, Porto, Portugal
ana.f.sequeira@inesctec.pt

Pedro C. Neto, PhD
 Unilabs, Porto, Portugal
pedro.d.carneiro@inesctec.pt

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from October 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Image and Vision Computing - ISSN 0262-8856 (elsevier.com). 

Important Dates:

Submission Open Date: October 1st, 2024
Final Manuscript Submission Deadline: February 7th, 2025
Editorial Acceptance Deadline: April 7th 2025

Keywords:

Explainability, Synthetic Data, Responsible AI, Biometrics, Computer Vision

Special Issue on Smart Medicine: The Integration of Artificial Intelligence into Healthcare
截稿日期: 2025-03-01

In modern healthcare, artificial intelligence (AI) has the potential to improve patient outcomes, make clinical workflows more efficient, and solve long-standing problems. Integrating intelligent systems into medical practice, also known as Smart Medicine, is at the cutting edge of this technological revolution, driving advances in illness diagnosis, treatment, and management.

Machine Learning (ML) and Deep Learning (DL) enable experts to analyze vast amounts of diverse data types, such as biomedical data, wearable sensor data, clinical records, environmental factors, and even linguistic and textual data. This can improve resource allocation, efficient healthcare delivery, and patient outcomes.

AI algorithms can accurately interpret and extract patterns from complex imagery in medical imaging, such as radiological scans, MRI images, CT scans, ultrasound images, and pathology slides. AI techniques, detecting and precisely segmenting anomalies, facilitate early disease detection and timely intervention, potentially saving lives. Additionally, in mental health informatics, AI revolutionizes diagnostic and treatment approaches for psychiatric disorders. Leveraging technological advancements, AI facilitates the development of more effective interventions, ultimately enhancing patient outcomes.

This special issue focuses on the impact of transformative AI in modern healthcare, emphasizing its applications in medical imaging, mental health informatics, and clinical decision-support systems. It aims to explore how AI, in particular ML, DL, Natural Language Processing (NLP), and eXplainable AI, can enhance diagnostic accuracy, improve treatment outcomes, and optimize clinical decision support systems. Topics of interest include, but are not limited to, the following:

    AI in medical images
    Real-time image processing
    Automated image segmentation and object detection in medical scans
    Pathology slide image processing and feature extraction
    3D image reconstruction and analysis from MRI and CT scans
    AI-assisted diagnostic tools
    Analyzing wearable sensor data for multimodal fusion techniques
    AI-driven personalized mental health interventions, including the use of neuroimaging
    Federated learning for collaborative healthcare data analysis
    Automated generation of medical image reports using AI through NLP
    Human-centered design for XAI in healthcare
    Trust in AI-driven healthcare
    Ethical considerations in the deployment of AI for medical imaging

Guest editors:

Fabiola De Marco, PhD
University of Salerno, Fisciano, Italy
(Email: fdemarco@unisa.it)

Huiru Zheng, PhD
Ulster University, Belfast, UK
(Email: h.zheng@ulster.ac.uk)

Silvio Barra, PhD
University of Naples Federico II, Napoli, Italy
(Email: silvio.barra@unina.it)

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from October 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Smart Medicine” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors - Image and Vision Computing - ISSN 0262-8856 (elsevier.com). 

Important Dates:

Submission Open Date: October 1st, 2024
Final Manuscript Submission Deadline: March 1st, 2025
Editorial Acceptance Deadline: August 1st, 2025

Keywords:

Medical Imaging, Artificial Intelligence, eXplainable Artificial Intelligence, Mental Health Informatics, Machine learning, Deep learning, Healthcare