On 10/20/07, Mark Waser <[EMAIL PROTECTED]> wrote:
> Images are *not* an efficient way to store data.  Unless they are
> three-dimensional images, they lack data.  Normally, they include a lot of
> unnecessary or redundant data.  It is very, very rare that a computer stores
> any but the smallest image without compressing it.  And remember, an image
> can be stored as symbols in a relational database very easily as a set of
> x-coords, y-coords, and colors.

maps ARE symbols.  Whether it's a paper street map or Google maps,
they're a collection of simple symbols that represent the objects
they're "mapping."  At the most ridiculous, each pixel on the screen
is a symbol that your optic nerve detects and passes to your brain to
find some meaningful correspondence to interpret.

I think the point that Mark is making is that the representation
(display) of data can resemble a map - but the map (or "image") is
only one possible interpretation of the data.  There are algorithms to
provide close-enough approximations of details where there is
insufficient data.  ex:  It is unlikely that an elevation map would
have a 1000 meter variance over a 2 meter gap in the data points if
either side of the gap are equal elevations.  That kind of 'smoothing'
can not be done with images alone - there must be data. If you do have
only map images, you would have to extract data from the map before
you can use it effectively against other data.  So why store the data
in an image in the first place?  Arguably, the data storage mechanism
is irrelevant - there will be decisions made about performance
depending on the initial acquisition and later retrieval realities:
maybe a camera streams video directly to disk to achieve high
throughput, then later analysis compresses the scene into a symbolic
representation at less than a realtime rate.  You can't really argue
that the video stream is an ideal way to manage the details in a
knowledgebase. (eh Mike?)

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