The temptation to pre-order one of these is almost unbearable. And, at “just” $529 including shipping from the good old US of A, it’s actually incredible value as well.

You can place your order here. The only issue is that it doesn’t ship until February next year.

I’m already twitching.

Photos shared

Those photos are finally up. Here’s the link to flickr. Taken with the new camera (a Sony DSC-HX300 in case you’re interested) and featuring mainly images of my fantastic flight on Sunday afternoon, but with some others interspersed in there as well.
Here, for example, is a crab. And that was basically taken at sea level.

The camera is great, but I have to get to know it and find my way around. In the meantime, I’m just enjoying its extra power and extra pixels.

Time continues to be an issue, but I shall almost certainly have some more blog postage tomorrow.

Til then…

6000 miles…

Great story, nice numbers.

American owner of a diving camera which was lost in Hawaii in 2007 has been traced after it was found last month on a beach in Taiwan.

The waterproof Canon camera was spotted by Douglas Chen, an employee of Taiwanese airline China Airlines, while he was strolling along a beach at Taitung on Taiwan’s east coast.

Inside the barnacle-encrusted camera was a still-intact memory card with photos of owner Lindsay Crumbley Scallan’s Hawaii visit still visible.

The memory card was still intact, enabling the owner to be traced
It was through the memory card that Mr Cheng was able to identify from where the camera had actually been lost.

He then went out of his way to trace the camera back to its owner, who lives more than 6,000 miles away in the US.

She had been diving in Maui during a summer break when she lost the camera.

And now his employer airline has offered her a free trip to Taiwan to pick up her camera.  Nice work, China Airlines.

This brings me fresh hope that one day I will get my cellphone back after I lost it doing a brief but memorable chance meeting in Newlands with a gentleman who decided he would like to take it in exchange for hitting me in the face.

That was a few years before 2007, and I doubt that my phone would have been chucked into the sea at any point – Newlands is quite a way inland after all – but I suppose there’s always a chance that it will find itself on a Taiwanese beach at some point and I look forward to hearing from Mr Cheng and his airline chums when that happens.


Today’s the day – in fact this morning’s the morning – when I get an updated prognosis on my ankle.

My overly-optimistic side thinks that I will be ready for a game of footy on the weekend, my more realistic side reckons I’m going to be stuck in my moonboot 24/7 for another few weeks.

boot The big thing for me would be permission to drive again.

But whatever the news from the orthopod, there will be some good news as I apparently get to (finally) pick up my apparently repaired camera from next door to the hospital.

Expect many photos of my bedroom walls in the upcoming days.

Descriptive Camera

They say that a picture is worth a thousand words, but this… umm… “interesting” Descriptive Camera suggests that it’s probably nearer twenty.

The Descriptive Camera works a lot like a regular camera—point it at subject and press the shutter button to capture the scene. However, instead of producing an image, this prototype outputs a text description of the scene.

Wait. What?

Yes. There’s no picture here, just a brief description of what the picture would look like. So how does it work?

The technology at the core of the Descriptive Camera is Amazon’s Mechanical Turk API. It allows a developer to submit Human Intelligence Tasks (HITs) for workers on the internet to complete. The developer sets the guidelines for each task and designs the interface for the worker to submit their results. The developer also sets the price they’re willing to pay for the successful completion of each task. An approval and reputation system ensures that workers are incented to deliver acceptable results.

Each “picture” costs $1.25 to “develop” and the process typically takes around 6 minutes.
The inventor, Matt Richardson, suggests that being able to file data about the contents of a photograph would be useful in searching, filtering and cross-referencing our photo collections. This rather clumsy (but still clever and innovative) system explores the possibilities of what being able to capture this data in this in the future might mean.