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Ths is a short presentation on
a technology that adds a lot of value to ordinary images
called "SmartImages".
So this is an image
a great thing. Displayable on anything, Portable,
an essential component of the web.
cachable, understood by browsers; software; standardized in format
and a
preferred method of information presentation: A very successful data type.
However
It's only a 'picture' of information. It's colored dots, essentially and it can't do anything by itself
and because it's only an image
if you want to add
context to the image - in other words to explain what the person is looking at
you need to do quite abit of work. You first of all you need to support
image interactions when a person moves a mouse or
touches something
or hits a key
you need to be able to formulate queries and send them to databases
to access the results from those databases format them
and return them back to the client-side
and all the while being continuously online
and
lots of people, including me,
have been doing that for years. It works but it is not trivial
It requires quite a bit of of infrastructure to do it.
So...
What if we could have all the good things about an image:
Its portability and cachability etc.
While adding
the ability for the image to be context-aware
informative, interactive, updateable; truly visually-indexed information
and..
deliver this all within the image itself. complete and stand-alone?
and this is what's SmartImages can do.
So what we're going to do now is to
cut to a few demonstrations which will actually show
different types of
SmartImages
and then we'll come back to the presentation
This is a short presentation of SmartImages.
We'll start by bringing up a
browser
this is a Mozilla browser (Firefox)
and we've created a small add-on which will detect SmartImages,
So I'll grab a PNG image
and drag it into the browser where it's displayed as a normal image
and when we right-click
on this
image, we have an option to view is as a SmartImage. Now when we do that
the aqdd-on looks inside the image discovers there's some metadata and
some data and indexes
and brings up:
a Title which is "Property Information in the Sydney CBD"
and various properties: Property ID, Valuation etc.
Now we have a spatial index so when we move the mouse around,
we're actually
identifying the particular property under the cursor
and displaying that information
we can also
stop that mode; clear the form and the map
and then
look for, for instance, all the
properties in "George Street" which I know is in the center
of the Sydney CBD. So there are all the
properties. We know that there's a "York Street"
at the side there, and, in fact, a "Pitt Street"
So we can identify those properties and of course we can add other
variables and search.
So what we have here is, inside this image
we've got a full database of the property plus the methods and techniques
we can use to search and display that data.
And then we can go back to
that normal mode.
So it's very simple version of a
SmartImage
Let's grab this next SmartImage and this case this is the
top of the
South Island of New Zealand,
the northern end and
when we right-click and view this as a SmartImage, you'll see
there's a title again but only a single property. And essentially
what we have here is a raster dataset which is the integer
height, in meters,
of any point in the image.
So you can see there's nought at sea level, of course and
various heights
and you can see this is a land use map with the red being the rock
and there's forest and grassland etc..
sand.
So with this one
dataset, it's not particularly interesting but what we can do is show
some of the methods
you could use to display this
elevation data. So
an obvious one is to display is as a
range of colors. So we turn on the update and there is
the uh... *** updates of the respect carlos about the image began to change that
assets if you want to tell
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