- 2.6Impact Factor
- 6.1CiteScore
- 17 daysTime to First Decision
Image and Video Analysis and Understanding
This topical collection belongs to the section “Electronic Multimedia“.
Topical Collection Information
Dear Colleagues,
The significant recent advancements in research fields such as robotics, autonomous driving, and human-machine interaction have strongly renewed the interest in understanding the physical world through computer vision systems. In addition, the opportunities that arise from new significant technological advances such as deep learning, expert systems, and other intelligent algorithms make it possible to design innovative solutions that can be effectively applied in real case scenarios. The proper development of computer vision techniques can significantly contribute to improving both the effectiveness and efficiency of image and video understanding.
The main aim of this Special Issue is to collect high-quality submissions that focus on image and video understanding and analysis, addressing the new challenges and the major breakthroughs in this field. General topics covered in this Special Issue include, but are not limited to:
- 3D reconstruction from images and videos;
- Image and video segmentation;
- Motion analysis;
- Action recognition;
- Object detection and tracking;
- Image and video enhancement;
- Compressive sensing;
- Face recognition;
- Image captioning;
- Video and image parsing;
- Reinforcement learning;
- Computer vision applications
Dr. Leonardo Galteri
Dr. Claudio Ferrari
Prof. Dr. Stefanos Kollias
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- computer vision
- image and video analysis
- deep learning
- biometrics multi-modal vision scene understanding

