Welcome back to the Image and Video Processing class. In the previous video, we saw a number of examples that show what image and video processing can do for us. Now we are going to see a few additional examples. We're going to start again from consumer images, images of the type that you are familiar with, and then we're going to move to a couple of examples of medical imaging, an area where image and video processing have been extremely successful and a very important area by itself. So once again, a couple of additional examples of consumer images and videos. So this is a very interesting example of what video processing can do for us. Let us watch this movies for a second. So here we have two kids in one video and two kids in another video doing exactly the same activity. We want the computer to automatically identify that, although, these are very different people, very different backgrounds, in completely different jumping gear, and a house in one, and no house in the other in the background. We want to make sure the computer understands that in spite of all those different things, the activity is the same activity. Kids keeps jumping. We want the computer to actually be able to say that that activity is very different than this one, which is actually a person playing with a ball, but this particular one should be identified to be exactly the same at this other one, which is another person playing with a football. So, we want the computer to automatically classify these videos for us based on what activity is happening in the videos. Let's just see another very interesting example. I'm going to play this video in a second. If you see different frames surrounding the person, so green and red, that would mean that the computer has identified that basically, the person is doing a different activity. If you see exactly the same color of the frame, so maybe both green or both red, means that the computer has automatically identified that the person is actually doing the same activity or the same type of activity. So let's watch this movie. So different colors, that means different activities. And now, same colors, meaning the same activities. And one more example. In this case, we actually have three different persons at, at three different rows and we have in the left, the grand truth. That happens very often in this type of [INAUDIBLE] in image and video processing where you know what you expect, so you can verify if your algorithms are working properly. On the right, we actually have the actual recipe of the algorithm. And once again, if you see frames of the same color, mean, means that in spite of the fact people are the different people, that computer has identified that they are doing exactly the same activity. If you see different frames, different colors, it means the computer has identified they're doing different activities. So let's just watch the movie. So look that three of them are green and now this move to yellow which means that the computer understood that the person changed his or her own activity, move from running to jumping. So that's another thing that we want the computer to do for us, to identify what's happening in the images. Sometimes we actually want much simpler things. For example, here, we might just want these very poorly acquire image to become this very nice image. This is something that happens to us all the time. We take an image that is not, it doesn't look as good as we want it to look. For example, this, this is an extreme case, We're going to understand what happened actually in this image and we want to automatically after we have taken the image, we don't want to go back and take again that image. We actually want the computer to do automatically for us to give us a very nice image. These aren't just examples of things we are familiar with. A more complicated example is here, yet another movie, but basically what we want is to be able to identify everything that is happening in the movie. This is sometimes called computer vision and not image processing, although, the two areas are close really, really, really close related and we are going to discuss that during the next coming weeks. All this has been about consumer imaging. Image and video processing, in particular, image processing, but also a bit more in these recent days and recent years, video processing is extremely important in medical and biological images. And let me give you a couple of examples that are very exciting applications, where image and video processing can actually make a tremendous impact on society and health. So this is a particular application. We're going to talk about this application, actually, the last week of the class. Thank you
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