Serving Fine Photos Since 2007

A Difficult Question of Copyright

I, like many photographers, routinely use Google’s Image Search in order to find people that have stolen my photos in order to issue DMCA takedown notices.  Recently, I came across a weird situation.

Several years ago, I took this photo depicting some “found” artwork at the site of the then-soon-to-be-demolished Good-Latimer tunnel in Dallas’ Deep Ellum neighborhood:

Demon Face

I photoblogged it in October of 2007 (and note that I don’t sell prints of it) and kind of forgot about it (that was almost six years and ~2,000 photos ago!).

So, imagine my surprise when Google Image Search returned a hit that showed some charlatan had taken my image, cleaned it up and made a (admittedly cool-looking) t-shirt from it:

ripoff

And here’s an imperfect overlay of both.  The oblique angle that I took the photo at is apparent in the t-shirt…the other variations are obviously from cleaning up the photo a bit and vectorizing it.

overlay

Normally, I would’ve fired off a DMCA notice to Redbubble and had the t-shirt removed, but in this case, my photo is of another’s artwork, so it’s a grey-area.  The original work doesn’t exist anymore, having been demolished in late 2007 along with the rest of the graffiti-covered Good-Latimer Tunnel and determining the original artist would be nigh-impossible. And, since I don’t own the copyright to the original work, going after this image thief would be a pointless endeavour.  So, instead it looks like I get to sit back and watch someone else make money off a derivative of my work that was originally a derivative work to begin with.

And it makes me damn angry.

And if I make my own t-shirt of this design, what’re my rights?

 

Size Comparison: Allure of the Seas vs. RMS Titanic

A couple of days ago, my featured photo on 75Central.Com was an abstract detail of Royal Caribbean’s Allure of the Seas‘ port-side balconies:

Honeycomb

In the description, I noted that this ship is the largest passenger vessel ever constructed (1,187 feet long and ~225,000 GT).  After posting this, I started wondering how that compared to the RMS Titanic, which was launched roughly 99 years before the Allure and was, at that time, the largest passenger vessel ever built.  Lucky for me, others have already done the comparison and I was able to find this somewhat mind-blowing graphic online:

titanic-vs-allure

Someone even put together this more direct comparison (though a quick comparison of Allure’s 154-foot beam with Titanic‘s 92-foot beam puts this into “questionable” territory) :

aaatitanic

As for my own visual comparison, here’s a shot I recently took of the Allure sharing a dock in Cozumel with her fleetmate Mariner of the Seas (beam: 126 feet):

In Cozumel

At Sea

My wife and I recently took another cruise, so I took advantage of our “sea days” to shoot a quick little ambient scenes video using my 60D.  Enjoy!

Focal Length Analysis

So, I’ve been contemplating a buying a new lens, but I couldn’t decide on what focal length I needed.  Did I want 11-16? 24-70? 24-105? 100-400?  600?

I could make arguments for any of these, but I was still indecisive.  So, I decided to see what focal lengths I have been shooting at to guide me.  And the best way to do that would be to get some statistical analysis going.  Luckily, this isn’t terribly difficult to do with the right tools.

I use Adobe Lightroom as my image catalog/workflow manager and I knew that Lightroom’s catalog files are simply SQLite databases, storing everything from file system locations of images to EXIF metadata to develop settings. And buried in that EXIF data is the focal length of every image in the catalog.  To get to my analysis, here are the steps I followed:

  1. Select a Lightroom catalog to do analysis on.  I chose my main 2011-2012 catalog, which would provide roughly 60,000 images to glean information from.
  2. Open the catalog using SQLite Database Browser and find the table that contains EXIF data.  This table is AgHarvestedExifMetadata.
  3. Export to csv.
  4. Open in Excel.  Round each focal length to its nearest whole number (some cameras write extremely precise decimal representations of focal length, but we’re only interested in the whole number.
  5. Group by focal length and sum the number of images in each focal length.
  6. Create a line graph.

And voila!:

imageanalysis

As you can see, most of my images fall into the 20-100 range of focal lengths.  Therefore, I would probably get the most use out of something like Canon’s 24-105 L series glass.

Of course, this lens is only f4, so it’s not the fastest.  I could do more analysis on the apertures I’ve used over the last few years as well, but I know from experience that I mostly shoot landscapes and urban photography at f8 or higher, so I should be covered.  Also, today’s cameras’ high-ISO performance and that this particular lens has image stabilization that adds roughly three stops of light should cover me.

Hilarious Clip of Brent Spiner

For some reason, I found this hilarious.  I’m weird like that.