I love it when people blog and use the photography I post up on flickr. This has got to be one of the best uses of flickr around, and as long as people aren't posting my silly mug up on posterboards or commercials without my consent I have practically no concern on the matter. Some of my photos have even been on pages supporting political groups that I don't, but it was clear from the article that the photo was used to set a visual tone rather than to say that the photographer promoted the material.
The latest blog to use one of my photos is Alan Morantz's Leading Thoughts. In this article he discusses how art can be used to develop leadership skills! Cool! That's actually one of the reasons for the many photographs up on flickr and blogposts lately. I'm trying hard to learn a certain level of diligence that will hopefully lead to better leadership and organizational skills. I'm also trying to put something creative out there that can be used to enrich the world and bring happiness to others. I'm not good enough to make blogging or photography a full-time business, but someday I might learn some great hidden nugget of wisdom and become a world-renown motivational speaker to twelve-year-olds that will allow me to indulge in supplimenting the task with photography and blogs. Then again, reality tells me I should get back to work - lunch break is over!
It's no secret that I think flickr is one of the best things the internet has to provide. A few months back they got better by adding geo-tagging maps. It's a mashup between Yahoo Maps (a rip off of Google Maps) and its own API.
Although it has some privacy issues for cameras that automatically GeoTag their photos, it's a windfall for people who see a great photo or even a lousy photo of a great place and want to explore more in depth.
For example, someone takes a picture of a great plating of food at a restaurant. You see that photo and think... that would be fun to go to ... and now you know where it is, too.
A year ago you had to use terse tools which created machine tags in your photos - those were messy and unstable. Now that it's been solid in Flickr for half a year it's worth noting how simple and solid geo-tagging can be.
The only complaint I have is that Yahoo doesn't always report the correct location in your photo details, but it still shows up fine on the map.
So every public photo taken at a specific location other than my house has been geo-tagged for your enjoyment.
Where there are thousands of fantastic photographers there are hundreds of thousands of amateurs who have taken fantastic photographs. I've had to think a bit lately about what separates the two. Some very well established photographers have posted work up on Flickr or on their personal site that I thought - ehhh, that's okay. Likewise, some very average photographers have posted some striking photos on Flickr that draw my admiration.
What is it that gives a photo that "WOW" factor? I think it's the ability to give notice to things and move us by visuals that nearly everyone else takes for granted. It is also the ability to tell a story in a unique way, such as Carl Iwasaki's famous photo of teenagers going steady. Sometimes it's an unexpected gamble that produces a photograph, like Phitar's photo: salomé spinning. Sometimes it's just seeing a detail in the environment that others overlook.
I could try to imitate, but that only takes me as far as being a good imitator. It seems that in photography, using a fresh approach is what gives any shot the potential. That frustrates me because I feel so stale - writer's-block, inhibition, whatever you wish to call it.
Joseph O. Holmes' gallery of photos of people staring at African veldt dioramas is an extraordinary example of a good artistic result. (These pictures somehow remind me of a related Ray Bradbury story.) It would be amazing to delve into his brain with a few questions: What made him think to do this series (AMNH)? Did he naturally envision the result and go for it, or did it strike him at the moment? Was he inspired to do this work, and if so, what inspired him? Is this an imitation of another piece of art that he's seen? Whatever his answers might be to some of these questions, I think we can all agree that he well deserves the $650 a-piece that each of these photographs sell for.
Every once in a while I come up with what I think would be a totally cool idea. Maybe one out of twenty of those times do I actually spring for it.
Flickr is amazing. It's API is moderately impressive, too. I thought: "What if I could go through all the tags of all my favorite photos up on flickr, ordered them by popularity, then did a search for photos that matched the top X tags in that list?"
I expected to discover some incredible art that would be right in line with what I already enjoyed. BTW - what is it that I enjoyed?
First, I discovered that flickr can only handle searches up to 20 tags. Any more than that and you get back zip - zilch - nada. Doesn't matter if any photo in their database actually contains all 21 tags - you get nothing back.
Second, I discovered that some people out there have over 150 tags on the photos of which only 2 tags might apply. As a result, when searching by relevance you get these over-tagged photos in the list along with the worthy ones.
Blame the upload tools. They don't ask the user to tag each photo, but rather to list out all the tags used for the batch of photos being uploaded. Non-savvy users might batch upload a photograph of a donkey and another of a stop sign. Given only one box for all photos to list their tags they would enter something that places stop-sign related tags on the donkey and vice-versa.
All the same - try the tool out, it actually does a shot-gun result of what I hoped for. Try sorting by "interestingness, descending" for the most polished works first, then try the others for works that are "sleepers" (fantastic photos that are uploaded while people are dozing off, and therefore rarely discovered).
In 1987 MCC (a team that later spun off into Cycorp) presented a futuristic concept in a private AI focus group gathering that is common practice today. Large network systems would be taught how to make sense of data through semantics taught by linguists, professors, psychologists, artists and anthropologists instead of mathematicians and programmers.
The result of this process is that you could query a system for "strong and daring person" and the system would return a picture of a man climbing a mountain cliff. It recognized the photo through tags that were cross-referenced with logical meanings through a language called CycL.
This concept is becoming more of a focus at Google. In the past two years several of the original members of this project began to work for or partner with Google.
Enter 2006, the year of Web 2.0. The technology has been implemented throughout the web and is known by the more common name "social networks". It’s about how people socialize with each other through interactive systems that collect various forms of data. Companies such as flickr, youTube, blogger and mySpace have capitalized on the technology and understood it. Data can be networked through a series of tags, text, ratings, discussions and cross-links to determine their similarities and relationships with each other. As people are seemingly interacting with other people they are placing markers that allow for data to relate with other data.
A controversial service at Google named "personalized google" or "personalized search" tracks every search you perform while logged into your account and cross references search results with links you have clicked on in the past.
Web 2.0 has been all about making it easier for people to locate content regardless of its form and making it easier for people to add and interact with data to various web systems. This is the entry point to the upcoming Semantic Web. Where the Web 2.0 has been focused on gathering information and building ties through a mixture of expert systems and non-expert users, the Semantic Web is focused on automating the collection of information and mashing up the data in an easy to understand humanized format, then presenting the information without being asked to do so.
Imagine a system that knows what information you'll need for your Monday board meeting. Not because you programmed it to, but because it learned and logically deduced it.
It discovered through your outlook calendar when the meeting was and who would be attending. It matches process in your workflow and recently requested reports with the context of the meeting by a logical process involving keywords in your meeting request. It scans an attendee's blog to find out that one of your business partners at the meeting has an affinity for blueberry bagels so it sends you an email suggesting you order some for your meeting. It also knows the recent concerns and buzzwords through IMs sent back and forth between you and your attendees and can detect whether the tone towards the topic is friendly or hostile, by which you are alerted on the presupposed tone of the meeting before it even begins. On top of all that, it prepares the charts and documents you are most likely going to want for that tone and sends it to you in a document through email.
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story.) It would be amazing to delve into his brain with a