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Steve is Alive and Well

by Denise on March 27, 2011

Social Tagging of Art.  What a brilliant concept.  That’s STEVE.

Steve Project: Object ThumbnailsI first heard a presentation about the Steve project several years ago at Metropolitan New York Library Council.  The presenters said that the name “steve” had no meaning and was just pulled out of the hat.  Can’t help thinking, though, that S(ocial) T(agging) had something to do with it.  In any case STEVE: The Museum Social Tagging Project continues and the site has evolved and improved.

Steve is “a collaboration of museum professionals and others who are interested in using social tagging to enhance access to museum collections and engage visitors with collections. We build open source software (the steve tagger), advocate for social tagging methods, and do research into the effectiveness of tagging. You can read much more about our work, which is funded, in part, by grants from the U.S. Institute of Museum and Library Services, at www.steve.museum.”

The online Steve tagger can be used by anyone.  Thousands of works have been contributed for this purpose by 17 major art museums including the Metropolitan, the Los Angeles County Museum of Art, the Tate Modern, and the Dallas Museum of Art.  Several of these museum have installed interfaces on site for museum visitors to try out tagging.

In the Objects tab each is represented by a thumbnail and I love that you can select “infinite” and have the application load thumbnails (13 across on my browser) which just keep coming.  (see above)  Painting, drawings, sculpture, decorative objects, text, textiles, photography, are all included.  All periods.  All parts of the world.  It’s a treasure trove. If you are patient you can see all objects in Steve on a single screen. (At least they were continuing to load for a full hour after I pulled the page up with no sign of abating.)

Steve Project: tag cloudIn the Terms tab the tags assigned by users can be viewed in a list or in a tag cloud with the words you personally have added highlighted in red.  It’s hard for me to believe that the ones listed constitute the full list, but but there is no indication otherwise.

You can browse by the tags, by collection, and by “set,” a fairly eclectic group that includes “I’m in the mood for love” and “WTF?.”  Here’s an image from the latter:

Once you hone in on a particular object it you can see it in larger formats, which while not full screen, are more generous than at other actual museum sites. The museum’s metadata for the object is also available, and you can look at “More object like this” and see what sets it is included in.  If you register (free) you can add tags of your own, save collections,  and make them private or public.

Steve Project: object screenSome of the tagging is quite object focused: tree, chair, bread, cane, etc. Some simply repeats information already available in the metadata, artist, period, or object type.  But many tags aim to convey other aspects of the visual experience, feelings (graceful, scary), and associated  impressions (circular, swirly), for instance.

The tagging system does not allow you to use the conventional feature of enclosing a multi word phrase in quotes in order to save it as a phrase.  So you will find a lot of tags in which several words are strung together:  “purplerug”, for example,  not “purple rug”. In some cases this may be due to a lack of understanding on the part of the user of how tagging works.  But even someone who knows can’t do it right.   This seems to be a pretty critical function for a tool intended to tag visual items.  How else to apply an adjective to a single object in the image or to a part of it?

In any event some of the resulting tags are are bit unusual:

  • anactresslongforgotten
  • asiflookingfromawindow
  • asifyouwereclimbingup
  • harvest
  • hassheeverkilledanyone
  • wannagointheblackdoor
  • white
  • whiteandblueporcelainbowl
  • whitebarn
  • whitepigmentonlyatcollar

But that is part of the point.  To see how non-experts identify images and what kinds of things they focus on, and what sorts of terms they use.

Tagging has become familiar to uses through Flickr and other tools.  A sensitivity to what terms help with findability is growing in the average person.  Learning how well that translates to the world of art objects, and how it complements traditional metadata, will be interesting to see.

It is a revealing experience to seek for words that convey the contents of image.  The inadequacy of words becomes so clear.  On the other hand, by persisting in finding every descriptive word that comes to mind, one actually sees so much more.

Steve has produced a number of reports evaluating the project, has a wiki, and provides more background information. A three-year National Leadership Grant from the Institute of Museum and Library Sciences (IMLS) funding Steve in Action: Social Tagging Tools and Methods Applied, a project to further develop the Steve tagging application, is scheduled to conclude in October, 2011.

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Metropolitan Museum of Art Exterior  CC2 erin.kkr

Metropolitan Museum of Art Exterior CC2 erin.kkr

General Description

The digital image collection available on the website of The Metropolitan Museum of Art in New York is a mixed bag.  I refer, of course, not to the contents of the collection, but to the display and searchability of the subject matter of the works in the collection.

The Met’s description of the digital collection  is as follows:

The Collection Database is a searchable database of artworks and related materials from the permanent collection of the Metropolitan Museum of Art. An individual database record includes information about an object as well as images, when available. The Museum’s curators have selected several works of note within the collection Database as Highlights of the collection. Due to the extremely large number of objects in the Museum’s permanent collection, not all artworks are currently available in the collection Database. Furthermore, information contained in the database records is, in some cases, incomplete, and all information is subject to change according to ongoing research and new acquisitions.

This statement acknowledges that not all objects in the permanent collection are contained in the database, and that those which are do not always have associated images, BUT it would have been nice for the Met to give the user some sense of proportionality.  According to the site there are 128,347 items in the online collection.  But I can’t tell form this what portion of the permanent collection this represents,  The only piece of further information I can easily find is that the Highlights contain only 1407 objects. Equally important I can’t tell how many of  the 128,347 objects have associated images.  I can say, unfortunately, that it appears that the vast majority of the items don’t.  One can browse the works to see page after page of thumbnails stating “image not available”   What a drag. It is not a bad thing that so many objects lack images; better to have access to the text record than to have nothing at all.  It is a major oversight, however, that the interface does not allow [click to continue…]

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Art Slide Drawer  Photo Credit:  Night Owl City  CC2.0

Art Slide Drawer Photo Credit: Night Owl City CC2.0

Ancient History

Prior to the development of digitization techniques and the internet, image collections, typically slides, were organized by individuals who used the slides for teaching, or by individual holding institutions, often in unique or idiosyncratic ways.  The systems for organizing these slides were relatively simple and had limited access points.  While there were common elements, there were many differences, both in the character and depth of the organization.

Recent History

Since digitization of images emerged radical changes have occurred.  Many associations involved in this areas, of professionals who handle these collections, of institutions who house them (including colleges, universities, museums, and archives), and of researchers who use them, turned their attention to the ways that digitization can be harnessed.  Individually and collectively they have developed planning procedures for large-scale conversion of analog images to digital format, systems for organizing and managing these images, websites for sharing them, and protocols for exchanging metadata.  There are a host of open source and proprietary tools supporting these many efforts.

The ability to actually retrieve and use these heritage images ultimately depends on metadata.  Andrew Wray put it well when he said that metadata is [click to continue…]

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Play tag at Artigo

by Denise on May 22, 2008

How it works

Artigo is another site that, like Labelme, Peekaboo, and steve.museum, is geared toward using the collective intelligence of internet users to gather data that will improve image search functionality.  Artigo is most like steve.museum in being semantically oriented.  As at steve.museum, you provide your own tags for the image that is presented.  Artigo’s image database contains 15,000 images and is set up at the University of Munich.  But there are several refinements that make Artigo game-like, and arguably more effective in obtaining valid results.

Artigo - Mid Game

Artigo - Mid Game

Each game session is timed; the players have 5 minutes. The number of pictures reviewed is a function of how quickly the players agree to move on to the next one.  Generally you see 5-7 images per game.  There are TABOO words, ones that have already been associated with the image.  These appear below the image in RED.  Players must dig deeper to find appropriate tags.

The more taboo words there are for an image the more points you earn for the tags you provide.  Most importantly your tag is accepted only if you and your partner have both provided it, thus weeding out the chaff.

As you play a countdown of the seconds remaining appears at the top, and your points up to that point on the bottom right.  You can see how many words your partner has selected, they appear as BLUE dots on the left, but not what they are.  But when the game is over, each image is shown again with artist, title and date identified.

You also see the tags given by your partner and yourself, and any that agree are shown in  YELLOW.   They are the ones that you get credit for.  Of course you get your final score as well.

Artigo also offers a monetary inducement to play.    [click to continue…]

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