Computer and Multimedia Technology

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

Deadline for manuscript submissions: 30 November 2026 | Viewed by 2113

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Special Issue Information

Dear Colleagues,

In the ever-evolving and dynamic field of information applications, this Special Issue dedicated to computer and multimedia technology holds a pivotal position. This Special Issue zeroes in on the intricate intersection of computer science and multimedia technology, aiming to comprehensively explore how cutting-edge algorithms, high-performance computing capabilities, and innovative multimedia techniques act as the driving forces behind the development of information applications.

In the realm of multimedia content analysis, artificial intelligence-based image recognition has become a powerful tool. By leveraging deep learning algorithms, such as convolutional neural networks (CNNs), computers can accurately identify and classify various objects within multimedia images. For example, in large-scale media libraries, this technology enables automated image tagging and categorization, significantly improving the efficiency of content management and retrieval. This not only saves vast amounts of human labor but also allows for more accurate and rapid access to desired information.

Real-time video processing is another key area of focus. With the exponential growth of video-based content on the internet, from streaming services to video conferencing platforms, enhancing the user experience during information dissemination has become paramount. Advanced video processing techniques, including video compression, noise reduction, and real-time object tracking, are being actively explored. For instance, during live-streamed events, real-time video processing can adjust the video quality according to the user's network conditions, ensuring a smooth and high-definition viewing experience. This not only enriches the user's interaction with information but also broadens the scope of information dissemination.

The development of immersive multimedia interfaces represents a revolutionary step towards better information interactions. Technologies like virtual reality (VR) and augmented reality (AR) are being integrated into information applications. In educational settings, VR-based learning platforms can create immersive virtual environments, allowing students to explore historical events, scientific phenomena, or complex engineering structures in a more intuitive and engaging way. In the field of marketing, AR-enabled product visualizations enable customers to virtually experience products before making a purchase decision. These immersive interfaces break the traditional boundaries of the presentation of information, making information more accessible and engaging.

Through a series of in-depth research articles and real-world case studies, this Special Issue will provide novel insights into improving the efficiency, accuracy, and user-friendliness of information applications. By promoting the integration and innovation of computer and multimedia technology, it will contribute to the continuous evolution of the information technology landscape, opening up new possibilities for the future development of information-related industries.

 

Prof. Dr. Heming Jia
Prof. Dr. Jianping Gou
Guest Editors

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Keywords

  • computer technology
  • multimedia technology
  • information applications
  • image recognition
  • video processing

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Published Papers (2 papers)

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Review

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29 pages, 4304 KB  
Review
From Pixels to Motion: A Systematic Analysis of Translation-Based Video Synthesis Techniques
by Pratim Saha and Chengcui Zhang
Information 2025, 16(11), 990; https://doi.org/10.3390/info16110990 - 16 Nov 2025
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Abstract
Translation-based Video Synthesis (TVS) has emerged as a transformative technology that enables sophisticated manipulation and generation of dynamic visual content. This comprehensive survey systematically examines the evolution of TVS methodologies, encompassing both image-to-video (I2V) and video-to-video (V2V) translation approaches. We analyze the progression [...] Read more.
Translation-based Video Synthesis (TVS) has emerged as a transformative technology that enables sophisticated manipulation and generation of dynamic visual content. This comprehensive survey systematically examines the evolution of TVS methodologies, encompassing both image-to-video (I2V) and video-to-video (V2V) translation approaches. We analyze the progression from domain-specific facial animation techniques to generalizable diffusion-based frameworks, investigating architectural innovations that address fundamental challenges in temporal consistency and cross-domain adaptation. Our investigation categorizes V2V methods into paired approaches, including conditional GAN-based frameworks and world-consistent synthesis, and unpaired approaches organized into five distinct paradigms: 3D GAN-based processing, temporal constraint mechanisms, optical flow integration, content-motion disentanglement learning, and extended image-to-image frameworks. Through comprehensive evaluation across diverse datasets, we analyze the performance using spatial quality metrics, temporal consistency measures, and semantic preservation indicators. We present a qualitative analysis comparing methods evaluated on identical benchmarks, revealing critical trade-offs between visual quality, temporal coherence, and computational efficiency. Current challenges persist in long-term temporal coherence, with future research directions identified in long-range video generation, audio-visual synthesis for enhanced realism, and development of comprehensive evaluation metrics that better capture human perceptual quality. This survey provides a structured understanding of methodological foundations, evaluation frameworks, and future research opportunities in TVS. We identify pathways for advancing cross-domain generalization, improving computational efficiency, and developing enhanced evaluation metrics for practical deployment, contributing to the broader understanding of temporal video synthesis technologies. Full article
(This article belongs to the Special Issue Computer and Multimedia Technology)
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26 pages, 928 KB  
Systematic Review
Applications of Virtual Reality to Support Social Communication in Individuals with Autism: A Systematic Review of Immersive Interventions
by Ryan O. Kellems, Cade T. Charlton, Megan B. Jensen, Emalise J. Dangerfield, Kendall M. Roberts and Aaron M. Temple
Information 2025, 16(11), 941; https://doi.org/10.3390/info16110941 - 29 Oct 2025
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Abstract
Virtual reality (VR) has emerged as a promising tool to support social communication in individuals with autism spectrum disorder (ASD). This study presents a systematic review of 28 empirical studies sourced from ERIC, APA PsycInfo, and Scopus. Articles in English published between 2014 [...] Read more.
Virtual reality (VR) has emerged as a promising tool to support social communication in individuals with autism spectrum disorder (ASD). This study presents a systematic review of 28 empirical studies sourced from ERIC, APA PsycInfo, and Scopus. Articles in English published between 2014 and 2015 were included, with the last search being 10 June 2025, that implemented immersive VR interventions for children, adolescents, and young adults with ASD. Following PRISMA guidelines, we analyzed participant characteristics, intervention features, research designs, and reported outcomes with 91.6% IOA. An analysis of the risk of bias was performed using the RoB 2 framework for randomized trials and ROBINS-I for non-randomized studies. Results from the two assessments showed low to significant bias. However, due to the relative novelty of this field of study, all data was deemed valuable and was therefore included in this review. Results show that immersive VR interventions are generally effective in improving skills such as eye contact, emotion recognition, empathy, and conversational abilities, while also being engaging and well accepted by participants. Nevertheless, most studies were limited by small sample sizes, lack of control groups, and scarce evidence for long-term maintenance or real-world generalization. The findings underscore the potential of immersive VR as an innovative and scalable approach for enhancing social communication in ASD, while highlighting the need for more rigorous and longitudinal research. No funding was obtained for this systematic review. No protocol registration was carried out for this review as it was unfunded and exploratory in nature. Full article
(This article belongs to the Special Issue Computer and Multimedia Technology)
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