The humungous use of social media has advanced another step. Fortunately or unfortunately, the new algorithm in social media will now find your relationships all over the place, even in un-tagged photos. Searching pictures and understanding the relationship between people is made a lot easier by the dependable technology. If you have tagged your mother and father in a bunch of photos, the close tagging is noted. The next time you search for your parents’ photos, the un-tagged photos seem to pop up as well.
The new algorithm was designed by Parham Aarabi (professor) and former student Ron Appel, at the University of Toronto. The mission was to profoundly change the way of finding photos among the billions of people on social media sites such as Flickr and Facebook. The United States Patent and Trademark Office are yet to issue a patent on this amusing technology.
The search tool in networking sites will use tag locations to state relationships between people, even on untagged photos. This zeroes in on the relationship two people share and offers a better search of images. Named as ‘Relational social image search’, the algorithm is highly reliable. Computationally intensive object or facial recognition software are not put to use for this new generation technology.
Searching for hundreds of photos does take quiet sometime, but the merry duo wiped away the weary search. Almost 8 years of exhausting research has finally paid of. The project began in 2005 in the Mobile Applications lab, which is the first lab space in Canada for mobile application development. Though the reliable algorithm’s interface is only for research purposes, Aarabi wants it incorporated in social networking sites.
This new technology will establish your relationship with others purely relying on the location of “tags” in the posted photos on social networking sites. Close relationship with a person in one picture does not reveal any thing. However, the same closeness in hundreds of pictures will help to identify relationships. The real life closeness is reflected in the photos and taken into consideration by the new algorithm.
Close observation of the photos you’re tagged in, the other people and objects tagged in your photos will help to fetch the results. The graphs are produced by the affinity a person has to another based on the closeness of them in the photographs. The technology can also help match the social circle and an individual’s family based on the posted photographs.
Certain privacy concerns are yet to be solved. It basically depends on the use of the technology. The tool will allow the search for photos of yourself which you haven’t been tagged in and you had no clue that they existed, which is perfect for your safety. The same tool will allow others to search your photos that you don’t want to be identified in. It is ultimately up to you to decide on how helpful the tool may or may not be.