Intelligent Innovations in Multimedia Data
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".
Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 19914
Special Issue Editors
Interests: social network analytics; multimedia recommender systems; big data; artificial intelligence; graph mining; IoT; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: social network analysis and modelling; designing of artificial intelligence models; deception activities
Special Issues, Collections and Topics in MDPI journals
Interests: pattern recognition and computer vision; medical imaging; applications for AI; approximate computing; parallelisation on multi-CPU/GPU systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the last years, the spread of online social networks (OSNs) has provided users with new ways to interact on an interactive platform to create and share multimedia content such as text, image, video, audio, and so on. It is noteworthy that OSNs, both for the amount of data they produce and for the high peace of streaming, represent without any doubt the essence of big data.
As a consequence, this new availability of data has allowed researchers to investigate the suitability of big data, machine learning and, more recently, deep learning approaches to the development of intelligent innovations in multimedia data processing. Common applications include social dynamic analysis, user behavior prediction, multimedia content and social graph evolution modeling, computer vision, text mining and pattern discovery on graphs, usually aimed at designing human-centric multimedia applications and services, such as information retrieval, recommendation, summarization, viral marketing, event recognition, expert finding, community detection, user profiling, security and social data privacy.
The aim of this Special Issue is to collect the most recent innovation in the processing of multimedia data generated by user interaction and activities over online social networks. We would like to gather researchers from different disciplines and methodological backgrounds to discuss new ideas, research questions, recent results, and future challenges in this emerging area of research and public interest. Potential topics include, but are not limited to:
- Multimedia information retrieval
- Text processing and information mining
- Multimedia recommendations
- Spreading news on social media
- Event detection
- User profiling
- Computer vision to track user habits and activities
- Fake news detection and countermeasures
Dr. Vincenzo Moscato
Dr. Giancarlo Sperlì
Dr. Stefano Marrone
Guest Editors
Manuscript Submission Information
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