Join us as we journey through all aspects of Digital Asset Management. Most posts are based on The DAM Book 3.0 – our CPO, Peter Krogh’s essential book on managing digital photo collections.
Start at the beginning of the series or fall in anywhere. Enjoy and feel free to leave us comments.
Tagging media for the people pictured is one of the most valuable bits of metadata you can add, but which is the best metadata field for this information?
Since keywords are quite utilitarian, they should be growing in an organic manner as your collection expands, adding intelligence to your media library.
To build the best media library, get the metadata process out of one person’s head and in front of other people and then perform proof-of-concept testing.
Our blog posts came to a pause a couple of weeks ago–right as we started lifting the curtain on Tandem Vault 3 (TV3). Well, that’s no coincidence.
As you think about how to structure your metadata, the method of presentation can be an important consideration as each type of information lends itself to a specific type of interface.
Your use of metadata should be a direct reflection of what’s important to you. The media in your collection, and the subject matter that interests you should drive the tags you make, your workflow, and the software and services with which you manage the collection.
Learn how to try machine learning out for yourself to see if it is going to help you out or waste your time.
Computational tagging can be done by means of linked or linkable data–using a “key” to connect one set of data to another.
Machine Learning and other AI services can add some useful information to a visual library, but they can only tag for things they “understand”.
Computers use two main Machine Learning methods to automatically tag image files, and it is important to know the differences between them.