EECS 556 oral presentation guidelines / checklist Each group has 14 minutes for its video presentation. The presentation should be targeted at students in the class. That is, it should assume the students in the audience understand the class material, but have not seen the new material that you have developed or investigated. For the video, it is OK to assume that the audience has had EECS 501, 551 and 559 (aka 598-optimization), even though not all students had all of those. In both your oral presentation and your report, if you cut-and-paste in figures / images that you found on the web, then you must cite the source. A rough guideline is 4.5 minutes of general background about the problem, related work, and your group's goals, 4.5 minutes about your specific methods 4.5 minutes about your results / analysis / conclusions, 0.5 minutes for future work (final slide). Going over the time minute limit will reduce your score. You need not show all of your results in the video; your report will likely have more figures etc. than your video due to the time limit, so the video should highlight your more important results. For the purpose of the video, it is *not* required to discuss the quantitative performance prediction. That is essential for the report, but not the video. Check list: * The first slide should have all group members names with a photo of each, the class (EECS 556), the date (April 2021), and the project title and "University of Michigan" on it. * Every group member must speak for at least part of the video! Introduce yourself by name, e.g.: "I am Jeff Fessler and I will describe the meme images that we used in this project." * Number your slides (easier for feedback) * Make sure the figure fonts and image titles are large enough! The default sizes in Matlab and Julia plots often are too small to be readable in a video. * You can use a zoom recording, or powerpoint, or whatever recording technology you want. You may need to "stitch together" 4 video segments. I am confident that image processing students can figure out how to do that. * Mention references in a small font as footnotes at bottom of slides. (It is OK to have a short version in the footnote, like "Einstein, 1934" and then put the full reference in a bibliography at end.) * Be sure to give credit (e.g., url) for any figures you copy from elsewhere. * Think about how many digits of precision are meaningful when reporting numerical results. Rarely is 12.34567 statistically significant! * Usually NRMSE (unitless) is more interpretable than MSE (arbitrary units). * Include units for any quantities that should have units. * One team member uploads to Canvas a file named like: unique1-unique2-unique3-unique4-mp4 Uploading the file on time is mandatory to be eligible for any project prize. The video format should be: .MP4 (H.264 codec), with either 1280x720 (720p) ("Internet Quality" in PowerPoint) or 1920x1080 (zoom cloud recording) resolution. If you use zoom capture to a local computer then it might use higher resolution that uses up too much space, so you must down-convert it to one of the above resolutions before uploading to canvas.