AI for Image and Video Processing


Dr. Dodi Sudiana

AI for image and video processing involves the utilization of advanced algorithms and machine learning techniques to analyze, interpret, and enhance visual data. In image processing, artificial intelligence (AI) algorithms can perform tasks such as object recognition, image segmentation, and feature extraction, enabling applications like facial recognition, medical image analysis, and autonomous vehicles. For video processing, AI techniques excel in tasks like action recognition, object tracking, and video summarization, contributing to surveillance systems, video editing, and content recommendation. Deep learning models, particularly convolutional neural networks (CNNs), have played a pivotal role in revolutionizing image and video processing by learning hierarchical representations of visual features. These advancements in AI not only enhance the efficiency of traditional visual processing tasks but also open up new possibilities for innovative applications across various industries.

Representative of outcomes


Covid-19 Mask Detector Based on YOLO and MATLAB
Author: Pradika Napitupulu H.Y.; Sudiana D.


Published in: ICCoSITE 2023 – International Conference on Computer Science, Information Technology and Engineering: Digital Transformation Strategy in Facing the VUCA and TUNA Era
Page(s): 200-205
Date of Publication: 2023
DOI: 10.1109/ICCoSITE57641.2023.10127764

Conditional Generative Adversarial Networks with Total Variation and Color Correction for Generating Indonesian Face Photo from Sketch
Author: Rizkinia M.; Faustine N.; Okuda M.


Published in: Applied Sciences (Switzerland) (Vol. 12(19))
Date of Publication: 2022
DOI: 10.3390/app121910006

AI Model for Electronic Fishery Monitoring System (Fish-Mon) from CCTV data
Author: Rizkinia M.,
Grant: prj-14/LPDP/LPDP.4/2022