Machine Learning for Object Detection and Scene Description in Images and Videos
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 57
Special Issue Editors
Interests: computer vision; machine learning; deep learning; image processing
Interests: image processing computer vision signal; image and video processing
Special Issues, Collections and Topics in MDPI journals
Interests: multimedia processing; video coding/compression
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Object detection and scene description are fundamental to advancing computer vision as a tool for automatically understanding the human environment. Recognizing and interpreting objects and scenes is critical for machines to understand and interact with the world meaningfully. This understanding forms the basis for more complex tasks like image and video analysis, autonomous navigation, and interactive systems. These technologies have various applications across various industries, namely healthcare, robotics, automotive, security, etc. Object detection and scene description improve the interaction between humans and computers, making it more intuitive. In big data, these methods enable the analysis and interpretation of visual data, constituting the majority of the data generated today. The complexity of real-world scenes and the variety of objects present ongoing challenges, making this an active and exciting area of research. Improving object detection and scene description models' accuracy, speed, and robustness remains crucial, driving innovation in machine learning algorithms and computational strategies. This Special Issue aims to present recent advances in object detection, semantic and instance segmentation, image captioning, visual question answering, scene modeling, object tracking, video summarizing, action recognition, and all other fields related to machine learning.
Dr. Marcin Iwanowski
Dr. Sungho Kim
Prof. Dr. Zhaoqing Pan
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- scene description
- object detection
- image segmentation
- semantic segmentation
- image captioning
- video summarizing
- robot vision
- action recognition
