Computer Vision and Image Processing: Technologies and Applications for Multimedia Systems

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 31 October 2026 | Viewed by 2

Special Issue Editors


E-Mail Website
Guest Editor
Department of Communications, Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University of Timișoara, Bd. Vasile Parvan, Nr. 2, 300223 Timisoara, Romania
Interests: computer vision; image processing; pattern recognition; image enhancement; embedded & GPU vision systems; advanced driver assistance systems (ADAS); urban landmark detection
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Communications, Faculty of Electronics, Telecommunications and Information Technologies, Politehnica University of Timișoara, Bd. Vasile Parvan, Nr. 2, 300223 Timisoara, Romania
Interests: computer vision; image processing; dynamic texture; internet of things (IoT); multimedia systems
Institute for Digital Transformation, Politehnica University of Timisoara, Piata Victoriei, Nr. 2, 300006 Timișoara, Romania
Interests: multimedia technologies; audio–video compression; enhanced learning technologies; blockchain technologies; AR/VR technologies; smart city
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, Computer Vision has emerged as a key enabler of intelligent information systems, transforming the way we process and interpret visual data. These technologies play a fundamental role in extracting structured information from unstructured image and video sources, supporting a wide range of applications.

This Special Issue provides a platform for researchers and practitioners to share recent developments, innovative algorithms, and applied solutions that advance the integration of Computer Vision into multimedia technologies. We welcome contributions that demonstrate how vision systems enhance multimedia experiences—whether through content understanding, dynamic interaction, visual augmentation, or intelligent streaming.

Applied contributions are encouraged, particularly those that explore the intersection of information theory and Computer Vision, specific to multimedia systems, such as intelligent video streaming, real-time content adaptation, semantic video summarization, interactive AR/VR environments, vision-based user interaction, and multimedia data fusion in IoT or smart city platforms.

Topics of interest include, but are not limited to, the following:

  • Advanced algorithms for multimedia content enhancement and restoration (e.g., image/video enhancement, denoising, super-resolution).
  • Visual data compression and transmission methods optimized for multimedia streaming platforms.
  • Real-time multimedia systems and embedded vision processing solutions for multimedia applications.
  • Vision-based dynamic texture analysis, synthesis, and classification for multimedia applications.
  • Computer Vision integration with AR/VR multimedia systems.
  • Semantic understanding, scene interpretation, and content indexing for multimedia retrieval systems.
  • AI-driven multimedia analytics, including deep learning approaches for multimedia understanding.
  • Vision-enabled multimedia applications for smart cities and urban environments (e.g., urban landmark detection, multimedia surveillance).
  • Multimedia vision systems leveraging IoT networks and sensor fusion.
  • Multimedia systems supporting advanced e-learning, training, and interactive communication.

We invite researchers and practitioners to contribute original research articles and reviews that advance the state of the art in vision-based information technologies.

Dr. Ciprian Orhei
Dr. Muguras Mocofan
Dr. Radu Vasiu
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. Information is an international peer-reviewed open access monthly 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 1800 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 processing
  • multimedia systems
  • smart city multimedia systems
  • multimedia IoT systems
  • object detection
  • pattern recognition
  • image enhancement
  • deep learning
  • embedded vision
  • smart applications

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop