Grant Mongardi

Recent Posts

Welcome To NAPCrm!

Posted by Grant Mongardi on Thu, Sep 24, 2009 @ 11:15 AM
I'm very excited and pleased to announce the latest rollout of our support offerings, NAPCrm (The rm stands for Relationship Management), a new client facing portal. It's a new view into our support systems, allowing our customers a real time view into their tickets, as well as a repository for technical documents. The technology understands that you're part of a team, and should be able to see tickets created by the peers on your team. More communications, instant access to cases, accountability. Everything you need, when you need it, including an ever-growing library of technical documents.

We're sending out user names and passwords, along with a step by step guide to how to login and use the system. If you haven't gotten the email yet and just can't wait, reach out to Rob Pelmas, and he'll set you up. Don't be alarmed by any of this--you can still call or email help requests into us! We've had lots of requests for this functionality, and hope that you find it helpful as well.

This is one of many improvements we are making to ensure you are completely satisfied as a client. From blogs to surveys to CRM calls to proactive maintance, we will not rest until every client we have has nothing but the best experience with NAPC. Please let us know if you are not experiencing great service – we need to know in order to continue to make NAPC a better, more responsive partner to our customers.

Find Similar

Posted by Grant Mongardi on Tue, May 12, 2009 @ 05:21 PM

Tags: Xinet, Xinet WebNative Portal, DAM Systems, NAPC blog, Searching with DAM

Presently, Xinet and many other DAM systems offer reasonably
elaborate ways of finding images based upon both user-supplied
metadata, as well as information provided by the applications
used to create the images. Much of this searching is reliant
upon some level of understanding and expertise by the end user.
This method of searching is generally only as good as the people
both adding the metadata, as well as the folks doing the search.
In other words, the search method itself is very dependent upon
people for it's accuracy.

That may change sometime in the future. Although I have no
expectations that searching user-applied metadata will ever go
away entirely, I do suspect that other options will be forth-
coming that will allow end-users to search based upon the
characteristics of an image. Most images have some sort of
general theme, be it either subject matter, layout, color or
texture. If you can determine these characteristics algorith-
mically, or some combinations of heuristic and algorithmic
techniques, then it would be possible to search initially on
metadata (or simple browse to a particular image to start with)
and then select a defined mechanism to find "similar images"
within some threshold to the reference image. Additionally,
there is also the capability that you can simply upload an
image from your desktop, either existing artwork, or just some
reasonable facsimile drawing that you produce, and let the
search engine find stuff that is similar!

There are already a few of these search engines out there. They
are in very early stages of development, so you can't really use
these as a definition of what's to come, but the results that
they produce are interesting to say the least. From the time
that I've spent looking at these, my suspicions are that most
are initially using a combination of information applied to the
images, either via information provided by the page that they
are placed within, or some sort of metadata/tags provided to
describe the images. From that point, the display of images
offers some mechanism to find images that have characteristics
similar to the reference image - some sort of "find similar"
link or button.

The benefit to this sort of search capability for the typical
DAM administrator is that although metadata searches with still
need to be available, designers will then be able to "find
similar" imagery based upon a texture, or color theme, or
content layout, or even some combination of those with perhaps
some specific metadata, such as "royalty-free". Given the fact
that most designers think and work visually, this will make
reuse of imagery much more productive, and will allow studios
to make the most of their asset library.

If you'd like to see some of these engines in action, or if you
are interested in learning more about the science behind them,
I've provided some links at the end of this article. However,
I wouldn't expect to see these anytime soon on your DAM server,
regardless of who makes it. The technology behind this sort of
searching is truly in it's infancy, and my expectation would be
that it will still need a lot of fine-tuning before we'll ever
see it in a commercial environment such as Xinet provides.
Although, one should note that the fact that Xinet's system
creates and stores previews of a large array of filetypes, this
then adds the capability for one to search across those preview
images rather than just the original image. That adds a layer
of capability that will allow the end-user to not just compare
actual original images, but to compare the previews of all of
the supported filetypes. That means you can find an InDesign,
Quark, or even Word document with similar characteristics to
what could be a reference PSD, or even Vector-based AI file.
Stay tuned, as the future of image similarity searching does
look bright!

Similarity search engines:

Academic Papers on Similarity Searching: