Recent Applications of Feature Extraction Technologies in Video Analysis
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electronic Multimedia".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 52
Special Issue Editors
2.School of Technology and Management of the Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal
Interests: feature engineering in general; natural language processing; applied machine learning/deep learning; detection of emotions in music/lyrics
Interests: applied machine learning; feature engineering; medical informatics; music emotion recognition; music information retrieval
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In today's digital landscape, video analysis is a cornerstone in understanding and harnessing the potential of visual data in modern systems. With an increase in the number of complex applications requiring humanoid intelligence, video analysis has become more crucial. This Special Issue delves into feature extraction technologies, exploring their recent applications in video analysis.
Video data encapsulates a wealth of information that is crucial for system automation and intelligence. However, extracting meaningful insights from this data poses significant challenges, ranging from data processing intricacies to model development complexities. Addressing these challenges, this Special Issue seeks to spotlight cutting-edge advancements in feature extraction methodologies tailored to video analysis.
This Special Issue encompasses a broad spectrum of topics pertinent to feature extraction in video analysis, from data acquisition to quality enhancement, segmentation, and motion tracking. We welcome contributions that showcase advancements in machine learning and deep learning techniques, including large-scale/lightweight neural networks, domain adaptation, and transfer learning, focusing on industrial applications.
This Special Issue provides a platform for researchers and practitioners to share their original findings, innovative methodologies, and engineering solutions regarding the application of feature extraction technologies in video analysis. Together, let us propel the boundaries of visual perception technology and its applications across a range of fields.
We looking forward to receiving your insightful contributions.
Prof. Dr. Ricardo Malheiro
Prof. Dr. Rui Pedro Paiva
Dr. Renato Panda
Guest Editors
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Keywords
- feature engineering based on video
- machine-learning- and deep-learning-based video processing
- computer vision
- segmentation, motion analysis, and object tracking based on video
- video-processing-based applications
- domain adaptation and transfer learning
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