Except that (to the public) raw video can mean unedited footage, versus the industry meaning of unprocessed.
Fair point, though I doubt anyone would confuse the prior encoded video stream with the concept of edited broadcast footage.
I think this thread subtopic started with
@Boza expressing annoyance about the use of "photon count" in a discussion among the people here, who are not quite the general public. His negative reaction is really a reflection of frustration with Eon's much-discussed habit of using inflated marketing terms, the archetype being "Full Self Driving".
While "photon count" itself is less egregious, it must have prodded an already inflaned nerve. Fired off some BS-detection neurons in his Annoyance Cortex.
Amps are electron count
Moles are molecule count
CCD values are photon count
I get what you're saying there too, but with respect and since we're analyzing terms:
Coulombs represent electron* count i.e. charge. Amps represent current, the flow of said charge over time.
* electrons or sometimes holes or, in other contexrs, sometimes protons or the space-charge capacity in a volume of material, etc.(Just trying to "insulate" my comment against further levels of pounce, as measured by Disagree Count!)
CCDs (which I think are not used in these cameras) and CMOS Image sensors (which are) both accumulate electric charge approximately 1 for 1 as a result of the incident photons, hence the photon-count reference. I think physics textbooks would use
n for the count itself, but it turns into Coulombs of charge in the pixel well, causing a proportional voltage that we consider the relevant stimulus for the CMOS transistors.
(Edit: apologies that I wrote Joules instead of Coulombs the first time I posted this, another error on my part now corrected)
Bottom line: Photon Count isn't wrong, it only feels wrong if it's used to imply something unique or innovative, as if Tesla made some kind of fundamental image-capture breakthrough. This false implication would constitute the BS that
@Boza attacked. I've seen it plastered across those clickbait YouTube snapshots.
What Tesla did, which is a perfectly real and notable improvement over the prior architecture, was to remove a layer of digital video processing that helps captured images look more natural to humans, but takes time and loses some information in the process. Note that said processing layer is still there in the feed to the on-screen image display and in stored clips, but it no longer exists between the camera feed and the NN scene processor.