Image Processing in Data Science: Current prospects and future challengesSpeaker: Abbas Cheddad – Karlskrona, Sweden
Topic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
AbstractThis lecture delves into the discipline of digital image processing (DIP). It highlights several applications of DIP in the contemporary world. The applications range from handwritten string recognition, to medical and molecular medicine, to aerospace engineering, to multimedia security, to name a few. The purpose of this talk is to rekindle interest in this area of computer engineering and to introduce its potential and vast application domains for those who have limited picture about DIP in data science. DIP coupled with deep/machine learning has shown unprecedented gain in computer vision, robotics, pattern recognition, and computer graphics. As a computer scientist community, it is inevitable to get some exposure into DIP as it is highly likely we encounter it across our path for knowledge.
About this LectureNumber of Slides: 58
Duration: 90 minutes
Languages Available: Arabic, English
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.