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    <p>I think @Kevin Holditch's approach is perfectly reasonable and has the advantage that it would be easy to get the code right.</p> <p>If there were a large number of images, or you otherwise wanted to think about how to do this "efficiently", I would propose a thought process like the following:</p> <p>Create 7 queues, representing your seven categories. We take care to keep the images in this queue in sorted time order. The queue data structure is able to efficiently insert at its front and remove from its back. .NET's Queue would be perfect for this.</p> <p>Each Queue (call it Qi) has an "incoming" set and an "outgoing" set. The incoming set for Queue 0 is those images from the camera, and for any other set it is equal to the outgoing set for Queue i-1</p> <p>Each queue has rules on both its input and output side which determine whether the queue will admit new items from its incoming set and whether it should eject items from its back into its outgoing set. As a specific example, if Q3 is the queue "Keep only one image per 30 seconds if it's older than 2 hours", then Q3 iterates over its incoming set (which is the outcoming set of Q2) and only admits item i where i's timestamp is 30 seconds or more away from Q3.first() (For this to work correctly the items need to be processed from highest to lowest timestamp). On the output side, we eject from Q3's tail any object older than 12 hours and this becomes the input set for Q4.</p> <p>Again, @Kevin Holditch's approach has the virtue of simplicity and is probably what you should do. I just thought you might find the above to be food for thought.</p>
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