Premium
This is an archive article published on November 4, 2011

Child pornography may end soon with abuse prevention software

Software consists of pattern-recognition algorithms that automatically analyses and classifies images.

Researchers have come up with an automated assistance system for image and video evaluation that can detect child-pornographic images from even large volumes of data.

Researchers working with Dr. Bertram Nickolay of the Fraunhofer Institute for Production Systems and Design Technology IPK in Berlin have designed “descry” – a program that tracks and deletes the photographs of child abuse victims automatedly.

“With novel pattern-recognition processes,desCRY rummages through digital photos and videos in search of illegal content,no matter how well-hidden it may be,” Nickolay said.

The heart of the software consists of intelligent pattern-recognition algorithms that automatically analyses and classifies images and video sequences.

“Technologies such as facial and skin-tone recognition are combined with contextual and scene analyses to identify suspicious content,” Raul Vicente-Garcia,the project manager,said.

The software searches all of the files in a computer,e-mail attachments and archives included and the search result is displayed in an image viewer that can accommodate several hundred photos as tiny icons visible at a glance.

Suspicious photos are singled out,for instance by displaying them at the top of the list of results,and investigators can enlarge the images with a click of the mouse,while a second mouse click stores them as evidence.

Story continues below this ad

At the end of the analysis process,an investigator must determine whether the photos classified as illegal really contain prohibited content.

 

Latest Comment
Post Comment
Read Comments
Advertisement
Loading Taboola...
Advertisement