Samples frames approximately every 1/2 second, and Range] Using Range to choose only some of the video frames, the video can be easily sampled and tested using M. We search for the frame with the head on it, change this line to search for the other one if you want to try it. Note that you could probably scale down the whole video beforehand.
Scaling down will increase the robustness against small differences between the slide we are searching for and the video, as well as decrease the computation time. We scale the images down to 32x32 and obtain the pixel data using ImageData. My answer is based on this very good answer here and this one, which contains more explanation and ways to improve.įirst let us import your example data: gif = Import What if the person blocks everything that is unique of that slide? What if some slides look the same?īut let's ignore those possible problems for now and try a very simple approach. Aim: Find position of the slides within the frameįirst I have to say that I'm a bit skeptical whether what you want to do can work in general. Please try with the following material: YOu can find the frames and One can try to extract the timestamp of this frame:Īnd if someone is steading in front (please excuse my drawing skills): In my video, a person might stand in fron of the slides, therefor I cannot simply say that I detect a slide in the video, if all pixels of the frame and the slide are the same. How can I extract the values of pixels within a certain geometric region of the frame.How can I extract all timestamps for a video frames ?.When a certain percentage of pixels are the same, I return the slide image and the corresponding timestamp. I compare a certain amount of pixels of the frame to all the slides images. I would suggest to proceed in the following way:įor all frames in the video, I define the following function: Now I would like to extract the timestamp when the slide appears in the video. I have a set of slides and a video in which those slides are discussed.
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