Tuesday, 23 July 2013

"Online Video Analysis" More dangerous than we know

CHI11.pdfhttp://www.cs.cmu.edu/~spdow/files/Crowds-thinSlicing-ws-CHI11.pdf



Online video analysis for recording and analyzing human behaviors has its benefits, and its usage and application is probably important for the continuous advancement of how technology help humans understand more about themselves. But many unknown and underestimated risk are present in the world of sharing and moving online videos. The article mentions that the majority of people asked to be taped in some specific scenarios said yes, but did these people know what kind of damage could be done to their lives?
It is difficult to change what goes on the web these days.



Facebook Tag Suggestions: A Value-Add or a Tresspass??


The debate continues. When Facebook first came up with a facility to allow tagging friends, it was a labor-some task to click every photo, then click on the "Tag Friends" option and then click on every face you see [or you want to tag], to type the name of that person.

Well, it takes less than a minute for one tag, but if this is a group photo of an entire class, or a wedding photo with all cousins, boy !!
It would take hours just to tag people in all the photos.

And why do we want to do that in the first place? Because, we always want to announce to the world that we were not alone when we did something crazy or something stupid or something great. We were with "Someone".
Being a part of "the group" is one of the needs, which is high up in Maslow's pyramid of needs.

And if the social networking corporations of today, would not have tapped into this desire of people and turned into a business value-add, it would have been a big surprise for me.

Anyways, even while people were shying away from tagging friends for the amount of work it involved, Faccebook came up with a smart way to tag friends. An excellent use of Visual Analytics - where all new faces are compared with the previous tags you have added, or the previous tags your friends have added, and even before you publish the album or photo, you are given a ready platter with all those smiley faces and a tag "suggestion" for each of this face.

The facial recognition software which most of the social network sites use is not very complex algorithm using too many biometrics, as we saw in the previous post by Sophie. They work on simple Smile recognition, a feature which is commonly available in many handy-cams, digi-cams and photo-editing software. The Analytics part comes into picture when the available database of tagged photos is processed to map with the new image under consideration. Output of running this analytics is a name of person - either your own name or name of one of your friend - commonly termed as a "suggestion".

All of this process gets completed within a few seconds, irrespective of whether you are posting a single photo or hundreds of photos. This speed of video analytics that facebook offers, is the best feature of it, as per my opinion.

This suggestion may sometimes be erroneous though, specially in case of newly added friends without any history of photo tags, but that's a very low percentage. All-in-all, if you like tagging your friends, this is a great feature available at your disposal.

On the fall-side, Every new feature has its own ill-effects and the major ill-effect of facebook tag suggestions is the tress-passing it does in someone's private space. I mean if I don't like being tagged, why should my face appear in my friends album, with a suggestion of my name?

Thankfully, after a ruckus in US about this privacy encroachment, Facebook withdrew the feature in US, and introduced it back, only after adding options [for the entire world], where-in you can deny being tagged by others; or have an authority to review and choose whether your name tag appears on a photo; or whether your name should appear as a tag suggestion.

Well, that takes care of personal privacy-trespassing issues. All-in-all there is no denying that visual analytics is the way ahead - not only for handling the security issues, but also for effectively using the social networks, considering the fast-paced lifestyle that we have.

On a more personal note, when I have enough time, I still prefer choosing whom to tag on a per-photo basis, as when I am browsing through those photos one by one and tagging people one after other, I can relive the memories associated with each picture and each person in that picture. But hey, that's just me :-)

Thursday, 18 July 2013

Applications of visual analytics

http://www.vismaster.eu/wp-content/uploads/2010/11/VisMaster-book-lowres.pdf

 This link has quite a few interesting things on the application of visual analytics.

See what???


There has been massive discussion on Video Analytics, ranging from a necessary security measure, to a witch hunt on Snowden for exposing abuse of power on privacy (if you've never heard of him, check this out: The whistleblower). 

So first things first: What is video analytics?! In it's essence, it's a generic term used to describe computerized processing and analysis of video streams. In other words, every time you pass by a surveillance camera, from ATM machines, to security cameras in an airport, this generates information that can be used by surveillance system operators, security officers, government, corporate managers and so on, and so forth. By automatically monitoring people, vehicles and objects, within a camera's view, it's possible to understand their behaviors, and prevent events such as traffic or theft, or add value to a business. 

You may be asking yourself - But why? Well, on average, humans have an attention span of 10 to 25 minutes, so if you haven't lost your focus by now, you probably already get that automated monitoring of cameras can be faster, less costly and 24/7. And apart from the obvious security issue Video Analytics can be used to drive a business in ways such as getting in the consumer's pocket before he changes his mind, or helping uncover where to position a product in a store. More on these topics to come! 

Join us as we explore new technologies, business applications and some pretty cool trends on SeeIE!

Will face recognition payment nip digital wallet in the bud ?

Believe or not, digital wallet might already be a has-been. A battle has already started between Mobile Wallet and FaceCash to become the standard for tomorrow's payment technology.

Indeed, a Finnish start-up Uniqul has launched what it calls the first ever payment platform based on face recognition.


The system allows you to pay by giving the camera a nod and pressing ‘OK’ on a point-of-sale tablet. Uniqul claims its technology is protected by “military grade algorithms”.

  “In the background our algorithms are processing your biometrical data to find your account in our database as you are approaching the cashier. The whole transaction will be done in less than 5 seconds – the time it usually takes you to pull out your wallet”, explains a press release from the company.

In order to use Uniqul unique payment system, the customer needs to register online before and have its picture taken by one of the company's Qpoint machine. Then, the customer can use all major credit cards or even a PayPal or Square account to charge its Uniqul account.

The real fun begins, lets witness the applications the world's finest software developers will create using this new technology.