Hi Mark, thanks for your suggestion too. On Tue, 6 Aug 2024 at 23:34, Mark Filipak <markfilipak.i...@gmail.com> wrote: > > Hey Rob, > > On 06/08/2024 08.40, Rob Hallam wrote: > > Hi, > > > > I'd like to programmatically detect the 'busiest' parts of a video- ie > > the most visually active areas. I am leaving audio aside for the > > purposes of considering this. > > If by 'busiest' you mean greatest frame-to-frame image movement and if by > 'parts' you mean temporal > frame sequences, then you might want to extract motion vector lengths and > 'scoreboard' them over > time to find the frame sequences that have the longest MVs. But if by 'parts' > you mean the x-y > picture areas with the most movement, MVs could be mapped. Good hunting.
Yes, you are correct with the first one- the idea is to find the times (time ranges) for which there is the most visual 'activity'. I actually don't have a good concrete definition of activity, other than a time range which is unchanging or has low change is low activity; and one which has rapid changes is 'high' activity. I don't need much in the way of precision. Thanks for the tip about motion vectors, I'll look into how I might go about extracting those and see what I can find. If others have insight too, please feel free- someone must have done something similar, but I'm not sure of the technical term for "video activity" to check literature! Cheers, Rob _______________________________________________ ffmpeg-user mailing list ffmpeg-user@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-user To unsubscribe, visit link above, or email ffmpeg-user-requ...@ffmpeg.org with subject "unsubscribe".
