In last week’s posts, I began describing how metadata has failed us – or we, as lazy humans, have failed to use it.
Dr Hayes (David) opined here and here that “indexing isn’t the same as categorizing, but finding belongs to both…”. As always, I have to agree with David – but I also have to say that this is one of the problems with metadata as a descriptor. If we rely on “people” (those lazy things that will sit at a SBUX drive-through for 20 minutes instead of getting out of their car, walking up, and getting a cup of coffee in 8 minutes) to put in metadata, then it doesn’t work.
Indeed David has pointed out the “goof” in my last post. That is, that intrinsic data is that which can be actively indexed anyway. Extrinsic data is innately categorization – because to date it has required “people” (see above) to populate it. And that’s where it falls apart.
The difference between indexing and categorization, at the end of the day, is nerdspeak. My mom doesn’t care how the photos get organized – just that they do, and that (let’s be honest here) there is a minimal amount of “processing” necessary to take the 30 pictures she took today, and make them easily available to the family (this isn’t taking into account the step that should be there, helping her realize that sending 4 5MB pictures via email is a bad idea – love you anyway, mom!).
So what’s my overarching point here? That consumers just want their photos and movies to be available to themselves, and family and friends, as quickly and easily as possible, and not in some way that requires watching 90 minutes of digital goo just to see little Timmy’s first words. Indeed, software should continue to evolve to help consumers apply important metadata to their photos automatically. Hey – you changed locations, you’re not in Dallas anymore – you’re in Orlando – let me offer that. Apple has made many of these steps via their “Faces” feature, and by applying geotagging intrinsics to the iPhone 3G and beyond. Can’t remember where you were? Let me apply a lat/long to it! Only problem is, most non-Apple cameras (digital and video) still don’t support geotagging yet (I expect that to change, but only over the next 3-5 years). And then, they still only apply lat/long, they don’t yet take that data and turn it into information (this lat/long = New York City). Lat/long to the typical consumer are simply nerd porn. They’re useless metadata.
iPhoto (not iMovie, alas) also offers to cut up imported photos into “Events”. By default, events are just photos, correlated by their intrinsic categorization of “date they were taken”. Since cameras today (probably good, since the UI would suck) offer no way to apply any sort of extrinsic “event” data such as a birthday, holiday, vacation, etc, this is probably as good as it will get in the short term.
Faces, on the other hand, attempts to at least help you tag your photos based upon who is in them. But as I found out when discussing this with a person I met up at Terra Burger, it’s only so good. He has two boys, 2 and 5 – and the software cannot yet tell them apart most of the time. So it’s a start – but still leaves a lot to be desired. It also doesn’t work on video yet (and of course Apple still has yet to truly tie video, photo, and archival together in one function – which I think they need to do for Mobile Me to ever be worthwhile).
Long ago, I had ideas about how to help create software for Windows Media Center that would help squish commercials out of the DVR-MS files automatically. It’s actually not terribly hard. Similar logic can be applied to automatically “categorizing” (to use David’s words) video automatically, and then assisting you in processing it. Similarly, pre-processing it in such a way that long “overtakes” of video can be constructively edited down quickly into shareable snippets on Mobile Me or YouTube should become commonplace. But we’re a ways away from that.
My next post will focus on how I work diligently to avoid the overflow of photos and videos (trust me – it’s new to me – even last year’s family trip to Chicago wound up on the editing booth floor for over a year). It’s a struggle, since the software still doesn’t help you much. But I’ll give some advice, and discuss more about how software can help us move past this over the next… decade or so.