Challenges and Applications in Multimedia and Visual Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 910
Special Issue Editors
Interests: multimedia communication; 3D video processing; virtual reality; artificial intelligence; pattern recognition
Interests: image/video processing; computer vision; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: 3D vision; image/video coding and processing; IndRNN
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multimedia and visual computing are important research areas in the fields of machine learning and computer vision. Over the past decade, various types of visual content have shown rapid expansion, including texts, images, videos, point clouds, and so on. It is essential to represent and understand such a large amount of visual content for multimedia and visual computing tasks. Meanwhile, the rise of artificial intelligence (AI) technology is able to provide effective support for deriving valuable information from various types of visual content. However, due to the complex characteristics of real-world visual content, there are still some difficulties in handling multimedia and visual computing tasks with existing AI-driven algorithms. Therefore, it is significant to explore advanced multimedia and visual computing methods for practical applications, thus promoting the development of an intelligent society.
The purpose of this Special Issue is to collect and publish new ideas, the latest findings, and state-of-the-art achievements on the topic of challenges and applications in multimedia and visual computing.
Topics of interest include, but are not limited to:
- Advanced visual feature learning and representation methods;
- Advanced classification, recognition, and retrieval methods;
- Advanced 2D/3D object detection and tracking methods;
- Advanced multi-modal learning and analysis methods;
- Advanced stereo, multi-view, and 3D content processing methods;
- Advanced image/video synthesis, editing, and visualization methods;
- Advanced image/video restoration and enhancement methods in low-level vision;
- Advanced quality assessment methods for multimedia;
- Advanced image/video compression and intelligent analysis methods;
- Zero-shot/few-shot methods for visual computing and multimedia;
- Unsupervised/self-supervised/weakly supervised methods for visual computing and multimedia.
Prof. Dr. Jianjun Lei
Dr. Bo Peng
Prof. Dr. Shuai Li
Dr. Bin Yi
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- image/video processing
- image/video compression
- quality assessment
- restoration and enhancement
- representation learning
- recognition and retrieval
- 3D processing
- multi-modal learning
- multimedia analysis