Image and Video Processing and Retrieval Based on Machine Learning and Deep Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 August 2024) | Viewed by 2671
Special Issue Editors
Interests: AI and machine learning; data science; color and spectral imaging; image processing and analysis; assistive technologies; cloud computing
Special Issues, Collections and Topics in MDPI journals
Interests: AI and machine learning; image processing and analysis; information security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Image and video processing and retrieval using machine learning and deep learning constitutes a rapidly growing field of research with numerous applications in areas such as multimedia search, video surveillance, medical imaging, content-based retrieval, and computer vision.
Deep learning methods, including convolutional neural networks (CNNs), autoencoders, transformers, and generative adversarial networks (GANs) have proven to be effective in image and video processing and retrieval tasks. These techniques can recognize, classify, and generate visual content with high levels of accuracy, leading to the development of powerful algorithms.
Machine learning and deep learning techniques are useful in image and video processing applications such as image and video enhancement, restoration, segmentation, object detection and recognition, image and video classification, and content-based image and video retrieval. They have significant potential for use to improve and automate many aspects of image and video processing, making these important research areas with numerous practical applications.
Image and video retrieval involves the automatic searching and categorization of large collections of visual media. Machine learning and deep learning algorithms have made significant strides in this area, enabling the efficient and effective content-based retrieval of images and videos. As research continues in this area, the development of new algorithms and techniques is expected to result in more accurate, efficient, and reliable processing and retrieval systems for visual media, revolutionizing the way we interact with and analyze visual content.
This Special Issue of Electronics, entitled “Image and Video Processing and Retrieval Based on Machine Learning and Deep Learning”, aims to present recent research work on image processing, video processing, as well on retrieval applications. We invite scholars to submit original research papers with novel findings as well as review articles describing the current state of the art and future perspectives in this field.
Dr. Raju Shrestha
Prof. Dr. Sule Yildirim Yayilgan
Guest Editors
Manuscript Submission Information
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Keywords
- imaging
- image processing
- video processing
- retrieval
- machine learning
- deep learning
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