


Generative Adversarial Networks in Multimedia Content Creation
Deep Convolutional Generative Adversarial Networks (DCGAN) have been used to generate highly compelling pictures or videos, such as manipulated facial animations, interior and outdoor images, videos.



Stereo and Multiview Imaging
Stereoscopic and multiview imaging will be explored in depth, as they have tremendous applications in many applications, ranging from autonomous car/drone/robot/vessel vision to Surveying Engineering to Medical Imaging.



Region Segmentation
This lecture overviews Region Segmentation and Texture Description that have many applications in in image analysis, notably in shape description and object recognition It covers the following topics in detail: Image segmentation by thresholding.



Edge Detection
This lecture overviews Edge Detection that has many applications in image analysis, notably shape description and object recognition. It covers the following topics in detail: Edge detection using numerical differentiation or image statistics.



Image Features
This lecture overviews Image Features that have many applications in computer vision, image analysis, stereo vision, image registration, motion estimation and object tracking.



There will be Artificial Emotional Intelligence
This resource corresponds to 4th video from the AI Excellence Lecture Series.