Multimedia Signal Processing: Theory, Methods, and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 940
Special Issue Editors
Interests: signal processing; acoustics
Interests: speech signal processing; human biometrics; audio watermarking; active noise control; hyperspectral imaging for food quality
Special Issue Information
Dear Colleagues,
This Special Issue focuses on exploring the diverse realm of multimedia signal processing, covering the various theories, methods, and applications in this dynamic field. With a primary emphasis on addressing existing challenges, this collection of research papers spans multiple topics, including acoustic signal processing, image processing, IoT, and machine learning.
In the domain of acoustic signal processing, the Special Issue showcases advancements in areas such as audio coding, speech recognition, and music analysis. It presents innovative techniques for audio quality enhancement, feature extraction from sound, and efficient audio compression algorithms.
Within image processing, the Special Issue highlights breakthroughs in image and video coding, content analysis, and computer vision. Researchers contribute novel approaches for tasks such as image denoising, object detection and recognition, and image segmentation, pushing the boundaries of visual data processing.
Furthermore, this Special Issue acknowledges the growing influence of the Internet of Things (IoT) and machine learning in multimedia signal processing. It accepts studies on IoT-based multimedia systems, sensor data fusion, and intelligent multimedia analytics. Contributions related to machine learning algorithms for multimedia analysis, classification, and retrieval are also featured, illustrating the impact of AI techniques on multimedia signal processing.
By gathering state-of-the-art research in these areas, this Special Issue aims to foster collaboration, inspire innovation, and pave the way for future advancements in multimedia signal processing.
Dr. Iman Ardekani
Dr. Waleed Abdulla
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. Applied Sciences 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
- audio coding
- speech recognition
- music analysis
- acoustic signal processing
- image and video coding
- content analysis
- computer vision
- Internet of Things (IoT)
- sensor data fusion
- intelligent multimedia analytics
