Bad Flickr …not bad panda

For some reason I believed that flickr had stopped stripping the EXIF data out of images when they are shared. This might not sound like a big issue but it is for those that rely on the image having an embedded copyright or creative commons entry in the IPTC and EXIF metadata. This in theory means that anyone that “finds” an image on the net should be able to trace the image back to its rightful owner. The trouble begins when various countries are enacting so called “instagram acts”, which allow “orphaned” photos to be freely used without and copyright or creative commons restrictions. Stripping the meta data away when and image is displayed effectively makes the image an orphan, if the user doesn’t want to take any further effort to find its owner.

I was experimenting with some of the sharing and social network integration in Irista, and happened to notice when irista bought images back from flickr the metadata was stripped. This surprise me because valid meta data is a key check that irista does on upload.

Flickr is only one of the popular services doing it. The only service I have found not doing it is google+

Looks like it is back to always including a visible watermark on flickr, or more probably not uploading important images there anymore.

Now you see it, now you don’t

its a while since I’ve mentioned flickr, in fact i really haven’t been posting to it much. Not because of the new format (I’m not really a fan but its much the same as other offerings) its all about “stripping”. They are still stripping the EXIF & IPTC metadata (including details or copyright or creative commons) and the photo ownership details) when the images are downloaded. This unfortunately creates what are known as orphan works (photos that in theory you can not establish the photos ownership). The problem being that in some countries it would appear re-publishing such photos, without the copyright holders permission is acceptable providing the re-publisher acted in good faith in searching for the photos owner, even though that was unsuccessful! See the legal loops holes opening up here!!!

 

Flickr isn’t the only social media service to do this but they are the one I would prefer to use.

This actually posses a big problem for creative people who want to share their work, even using creative commons. For example I don’t mind other using my images providing they acknowledge me, and that they don’t use my images for their own profit. A lot of people have contacted me and all is sweat, Unfortunately using google image search or TinEye I know some of my images have been used all over the place without my permission. So I have reluctantly taken the approach of adding a visible watermark onto my flickr posts. In reality this is not going to stop unauthorised reposting, or help me track down those just stealing the photos. To do that I should just stop posting to flickr (or most other social web sites). I hope it will just make those thinking of using eth photo think twice before downloading it. Flick actually has a good blogging link feature that includes a link back to the original flickr image (which does have the EXIF data intact).

If you want to use one of my images for a blog, or brochure for your organization, or any other reasonable use and you don’t like watermarks just send me an emails

Searching a photo database …

earching for a specific photo is not such an easy task on a computer right at the moment. The way we recognise things visually is still a challenge for any single computer application to match. Certainly we know a lot about how our brain & visual cortex deconstruct the light that reaches our eyes and how it recognizes shapes and edges and builds a tonal representation, and recognizes colour and saturation. Individually various pattern recognition systems can reproduces one of these tasks at a time today. One on the “holy grails” of computer vision within the artificial intelligence community has been in recognizing objects, potentially those to be manipulated by automated robotic systems, and there are been some successes in very limited spheres of operation. The fact that most smart phones come with a camera has been a great impetus to broader applications of computer image recognition, and already in a few specific fields applications are becoming available, like google’s goggles, which can reasonably accurately recognition a lot of consumer products snapped by smartphones.. But there is still a fair way to go before we have generalized recognition systems that might be really useful in searching through large photos collections and helping organise them are well as any human might. Although I do suspect suspect competition if becoming fierce to solve the more general recognition,  some interesting current development are everpix,, IQ Engines soon to be included in Flickr and here is a brief description of How Google's Image Recognition Works, in Google Drive & Google+. Yet right now

Ok back to the more pragmatic, what is available today.  Finding photos usually relised on a text based search of keywords associated with the photo. I know a lot will say just use lightroom, it manages your collections. I do use lightroom, but it is not really so good at search. It does have keywording and relies on the user to adequately keyword and tag all the photos. The main tool is library/find, which basically gives you a totally text based filter that can browes a subset your catalogue by keywords.attritubes, ratings and EXIF metedata. This all requires a lot of upkeep to keep this useful and there are some good tools to simplify updating the metadata but it remains a largely manual process. A lot of folk overlook the power of sort (again it has filter style dialogue) to help locate and organise (for example it it easy to sort by landscape or portrait orientation or by aspect a ratio if you know you used a square crop for example. the real power is hidden in smart collections, which are dynamically updated  as you classify your collections. LR 4 and above does have a map feature, and it will display any photos with already embedded GPS coordinates or let you drag photos from the filmstrip onto a specific map location, the search capability is just my map window and limited filters such as tagged and untagged photos.

One little package that surprised me with its ability to search was XnView, (which I have as my image scan, sort and keyword tool for my USB darkroom portable apps key (ie a backup when I’m travelling and don't have access to my own computer and picasa). I haven’t written much about this package but it is a gem, Basically it is a thumbnailer, It just creates a database of thumbnails and loads that with all the information it can glean from the photos into its database. It does have a few different ways to look at and organize the thumbnails, Firstly somewhat like the Lightroom filters, it has a single but just about as comprehensive Tools/Search…feature. It also uses a special type of keywording that it called categories which can be set up like a tree structures/classification system (and it comes with some good basic starting categories. The View tabs also have various viewing filters and sorting options which can be useful in sub-setting what you see.

I must admit picasa is my go to application when I am searching through my substantial photo archive. For a few reasons, Firstly it is tolerably fast (lightroom isn’t), second it has face recognition, thirdly because I use its default file naming as I load photos my collection is nicely organised in chronological order. Whilst I seldom use its places features to tag location i do use this feature to view and find photos from a given location. Its search box is in the classic google style although it does just have a text search functionality looking through filenames. folders and album names, keywords(tags), captions place names, and EXIF metadata. It is not really as comprehensive as the previous two but it simple and fast and the screen view changes according to what is available. The filters are there too but are different button/icons that further control what is displayed. While there are no “smart” collections,  people can be automatically grouped by the facial recognition, starred photos are continually updated to a special album, as are recent uploaded photos,

So my conclusion is while the future promises a lot, the present delivers just a enough.(if you are happy to maintain your own keywords)

This post is part one of my rethinking the longer term focus.

5 steps to avoid sharing your on-line photos with the world!

There are many services that offer to share our photos on-line, and most, specifically the social media places, make it very easy but have defaults that mean your photos are being shared with anyone with net access. Perhaps you just wanted to share your photos with a few friends of family members. To really scare yourself, try finding some of your own images on-line using google’s neat reverse image search. To do that just drag and drop a photo you want to check onto the little camera icon on the google’s images search screen.

Ok now your scared! Time to pause and check whether that photo also lets others know where you live. You can find the extra information buried in your on-line photo by copying its URL to metapicz

So how do you fix it so your images and the hidden information they contain are not being shared with everyone in the future? Here are 5 steps you can take.

1) Make sure you know and set appropriately the default sharing setting when you upload photos. Most of the specialist photosharing sites like flickr, google+, photobucket, smugmug etc have a multi-level security/sharing system for just family, friends or then the public. Google+ have the added organizational control of just sharing with your selected circles.  Some cloud based photo services like Skydrive, and Drop Box also have multi-level sharing security and the private side normally involves sending those you wish to share with, a secure link (ie it has an access password/switch built into the link). A big limitation of these systems is in the  photo uploaders they provide, which often have public set as their sharing default. So you can unknowingly make your photo available to everyone. So it is in your interest to set the default to private and only set those you intend to share as public on an individual photo basis.

2) Be careful that you don’t share links to otherwise private photo, by reposting to public sites (like you blog or a social network site like twitter). in those systems that do allow you to share your images on another service such as facebook or twitter, Often they use some variant of OAuth to establish the authority to post on the attached site, unfortunately they seldom inherit the same privacy setting from your original post and the photo is posted as public. Generally if there is no mention of sharing security when you do the authorization there will be none (eg Sharing to twitter from flickr, even if the photo is private on flickr once it is shared to twitter it will be publically viewable on twitter)

3) If you don’t want strangers to find out where you live, work, go to school. Consider turning off the GPS in your phone, or finding the setting in your photo uploader to remove geotags/geolocation data. Flickr has a nice geo fence feature that allows you to supress showing location if your are close to sensitivity place (eg home, school etc). Lightroom has a setting to remove any geolocation data when posting an image via their Export or Publishing Services. You can also control the types of metadata exported.

4) Remove the photos from google search if necessary. I haven’t been a fan of the google’s official forums because they are often hard to figure out the context of the advice being given and even what the FAQs are actually asking. My impression has been that google staff must not actively moderate their forums or perhaps even read them (maybe I’m being a bit unkind here). However the Picasa Resources site does provide some good discussion on key FAQs about picasa and its advice on How to remove your images from google search gives some good advice on what to do, albeit quite technical advice. The photos don’t have to have been shared via picasa.

5) Don’t use Facebook (and probably Instagram), for any photo you don’t want to share with the world because someone else liking or tagging your photo will start sharing that with all their friends and so on. These access links can spread quickly and soon many folk you don’t know will be able to see and use your photos. Also the facebook TOS (terms of service), means they assume ownership of anything you post. I don’t have a facebook account, and I don’t want to be accused of facebook bashing but I understand in the past it wasn’t so easy or obvious how to remove and permanently delete photos, I gather facebook has yielded to pressure and here is a link to Steve’s Digicam with instruction on deleting facebook photos and albums.

So don’t panic, make sure you understand the sharing security on your favourite photo service and set the defaults appropriately. It is certainly not wrong to share your photos with others. It might just be wise to do little bit of checking right now for any existing images you don’t want shared publically.

find your photos, find your camera

I’m sure you have heard the stories about stolen camera and phones being traced by photos posted on facebook or twitter. They all have the element of a luck discovery in their stories, something that might be very hard to rely on when its your camera that has gone missing. Now there is a service called stolencamerafinder, which tackles the problem in a little more analytical fashion. They look for the embedded serial number of your camera within the EXIF metadata header of jpeg files. Unfortunately cameraphone generally don’t embed a unique serial number and are thus not supported (but I did notice one phone in their support list is the IPhone4s). Also most version of RAW don’t fully support EXIF style metadata and are therefore not supported either. The website has a few great success stories including Xander’s Canon (shown here)

Its also an example of a good open source project to I hope it is totally legit and wish the project well. You can even help out their data collection with a chrome extension and/or running a flickr scraper.

The important step, if your camera is lost or stolen, is to report it on their site, free membership give you one camera search, as well as using the free photo search. Professionally photographers and companies with a lot of photographic gear might see the benefit in Pro or Business membership.

Fencing Off Private Geo “Hot Spots” on Flickr

Flickr now allows you to create hotspots, which it calls geofences with specific privacy settings. These are useful for locations such as "home" or "school" or anywhere else you would like to make more private than your global default. You can have up to 10 geofences, that can automatically block the accidental public display of your location. Many smart phone users do not realize that the location of the photo is frequently also captured and embedded in the photos EXIF metadata data . Posting that photo on the net then will allow others, who know how to read the EXIF data to determine a lot more about your private life than you intended. The real problem is there are now a lot of common social tools that can look for and share this location detail with wind more importantly often without your knowledge, the geofences, accesses and content filter are a good reason to consider doing most of your social network sharing of photos via Flickr.

Alternative you could

• Use Picasa Web Album, and remove the location data from specific photos.
• Turn off the geotagging (it might be called location) on your phone (this may not always be in the phonaes cameras settings and might require reference to the phones manual)

Check out your geo privacy page in Your Account Settings on Flickr for more details. You can  also hide your camera’s EXIF data in Your Account Settings.

Some Dangers in GeoTagging (& How to remove them)

Whilst on my recent travels I was consciously trying to geotag every photo I took, which involved a bit of work for those taken on my DSLR (Pentax D20), but it was automatic for my new smartphone (HTC Wildfire). Almost everything I took with the phone had the location embedded in the EXIF metadata. Then I got thinking most cameraphone (eg IPhone) users would not even realize this and there are a lot of situations where they probably don’t want their location published, but this is exactly what happens if you then post one of these photos on the internet. There are two simples solutions too this

1) Turn automatic geotagging off in your camera phone (look under camera settings, it might refer to location rather than geotagging).

2) Use Picasa to manage (and remove) geotags

To remove a geotag in Picasa, Select the geotagged photos.

1. Click the Places button in the lower right corner of Picasa.
2. Click the red geotag icon on the map.
3. Click 'Erase location info.'

This both removes any longitude and latitude information from the photo's EXIF GPS metadata  and also removes your photo from the Picasa map. REMEMBER TO DO THIS BEFORE YOU UPLOAD YOUR PHOTO TO THE WEB!

If you look towards the end of the Wikipedia Geotagging Article you will find a more detailed discussion on the dangers of geotagging. Whilst I am still a big fan of geotagging photos, where appropriate, I feel it is important that everyone understands the privacy issues exposed by this technology.

Geotagging with Google Maps (vs Flickr)

One of the new features in Picasa 3.5, is geotagging directly via google maps. You where previously able to geotag via google earth, and you still can. To test this I choose this photo of a monument in the main street of Leura, in the Blue Mountains, as it was something I could easily see in the google map hybrid image. Geotagging in Picasa no longer requires looking for a separate function among the tools and opions. Just select the photo (or photos in album mode) you want to locate. Then press the places button, it down on the lower right of the picasa window. A google map is displayed in the places widow that pops up. Simply navigate to where the photo was taken. This can be using the map zoom and panning controls, or type in an address, or location name to the search box at the bottom of this places window. Using the hybrid or satelite display option you can get street level detail and I could easily find the place I took my picture of the monument. Now you just need to click on the green “map pin” marker button and drag it to the location where you took the photo. Click on that position and click on the OK button on the pop window, with a thumbnail of your photos. That’s it. So, within the accuracy of how google maps are mapped onto the geoid , which is a whole different story, I am fairly certain these cooridnates are fairly reliable. They also get nicely embededed in my photos EXIF data.

If you geotag several photos in your album, you can get a view of where they were taken by also having the places panel open as you view the album view open. I must admit I was a little disappointed there where not more ways to retrieve photos using geotags, maybe that will come. OK, there is a green map pin at the top of the Picasa window that retrieved all geotagged photos, but your can still only see them an album at a time.

Next I wanted to compare geotagging the same photo with flickr. I was pleasantly surpised that the hybrid abd satellite images know in yahoo maps is now more accurate that last time I looked. But the best scale representation I could get (you can see the kilometerr scale on the bottem left of my screen capture) is no where near as detailed as the google map equivalent, but I could strret the main street and guess about half way along. So maybe I will be within about 30 meters. Once you have save the location, your main photo display page will show a taken in location down under additional information of the right hand side.

I wanted to check the location accuracy but do you know what? You can’t see the actual coordinates for things you geotag in flickr, you can just see them on a map. So I still don’t really have a good comparison of accuracy. It is at the retrieving end that he difference in flickr win out. You can get a map of all your geotagged photos, explore the world or just for nearby photo by others, use the flickr api, or even via third party gadget & widgets (like mine, down on the right hand side of this blog).

By the way if your upload a photo to flickr, that is already geotagged in picasa, it is automatically give the map button.

Camera finder on flickr

I have avoided writing about specific cameras, and most specifically about buying a digital camera. Not because I don't want to, not that i don't get asked (it is the most common question after "do you have photoshop?") it because i am more than suspicious about the camera reviews. They only seem to talk of special features and statistics that have little relevance to the final photo image. what I think is important is what to other people used and what to the photos they get look like. Well flickr now has a great resource called the "most popular cameras on flickr". Apart from the obvious fact it selects a nikon (nikon now sponsor flickr, see their logo on the main login page) which infact is not the most popular camera(if you scroll down you will see at the time I wrote this it was Cannon's EOS digital rebel). Popularity is measured directly by number of contributing members uploading photos using that camera. The details are taken from the EXIF information in your file header.

The good bit is; if you are interested in a particular camera or want to compare cameras you can see the photos other have taken under a range of categories. it allows you to good and look at what other people used. There are also links to reviews and price comparisons if you want that sort of stuff.


It also has reserve links from flickr's more properties screen, this is where you can see the EXIF data, of any photo back to the appropriate camera finder page for the camera used.

This is actually a great resource, for those who want to make up their own mind and not just depend on potential biassed reviews.