AI News, Blurred Face News Anonymity Gets an Artificial Intelligence Spin

Blurred Face News Anonymity Gets an Artificial Intelligence Spin

Summary: Researchers use artificial intelligence to develop a new way to protect a person’s anonymity on news broadcasts.

They presented the work to international journalists at a Journalism 360 demo event honoring grantees in New York on July 24, and the next day at a full conference held across the street from the New York Times headquarters.

“With our AI, which learns from more than 1,000 years of artistic technique, we have taught the system to lower the outer resemblance and keep as high as possible the subject’s inner resemblance –

“Our system uses five levels of AI processing to simulate a smart painter, using art abstraction to repaint the video as if an artist was painting every frame.

DiPaola says the tool’s effectiveness at anonymizing while retaining a strong degree of emotional connection or resonance should result in better final product for anonymized video, especially in 360 or VR.

‘Blurred face’ news anonymity gets an artificial intelligence spin

“With our AI, which learns from more than 1,000 years of artistic technique, we have taught the system to lower the outer resemblance and keep as high as possible the subject’s inner resemblance – in other words, what they are conveying and how they are feeling. “Our

says the tool’s effectiveness at anonymizing while retaining a strong degree of emotional connection or resonance should result in better final product for anonymized video, especially in 360 or VR.

SFU was founded more than 50 years ago with a mission to be a different kind of university—to bring an interdisciplinary approach to learning, embrace bold initiatives, and engage with communities near and far.Today, SFU is Canada’s leading comprehensive research university and is ranked one of the top universities in the world.

With campuses in British Columbia’s three largest cities – Vancouver, Burnaby and Surrey – SFU has eight faculties, delivers almost 150 programs to over 35,000 students, and boasts more than 150,000 alumni in 130 countries around the world.

'Blurred face' news anonymity gets an artificial intelligence spin

They presented the work to international journalists at a Journalism 360 demo event honoring grantees in New York on July 24, and the next day at a full conference held across the street from the New York Times headquarters.

'Our goal is to create a working technique that would be much better at conveying emotional and knowledge information than current anonymization techniques,' says DiPaola, a pioneer in AI/VR facial recognition processes.

'With our AI, which learns from more than 1,000 years of artistic technique, we have taught the system to lower the outer resemblance and keep as high as possible the subject's inner resemblance—in other words, what they are conveying and how they are feeling.

Anonymous blurred faces on the news given more emotion thanks to AI

A research team from SFU’s School of Interactive Arts and Technology (SIAT) created an updated pixelating technique using an AI “painting” approach to anonymisation.

“With our AI, which learns from more than 1,000 years of artistic technique, we have taught the system to lower the outer resemblance and keep as high as possible the subject’s inner resemblance - in other words, what they are conveying and how they are feeling.

The result is more engaging, especially since not everyone listens to stories - so the art component becomes more relevant.” The system doesn’t change the pixels of the video frames as Adobe-like systems can, but instead produces a painting-style result of every frame.

A research team at Simon Frasier University’s School of Interactive Arts and Technology recently unveiled a new way that AI can be used to modernize how people’s faces are blurred on the news and other television programs.

Traditional blurring for anonymity requires specialized software that tracks certain areas in the image and adjusts the pixel size and shape based on movement.

“With our AI, which learns from more than 1,000 years of artistic technique, we have taught the system to lower the outer resemblance and keep as high as possible the subject’s inner resemblance.

To help ensure that the emotions of the situation come through in an image, the AI calculates the facial features and voice tone, and then matches them with the altered appearance.

Researchers Gave 'Blurred Face' Visual Anonymity An AI 'Painting' Approach

Not limited to creating something astonishing and never seen before, AI can also improvise existing technologies, as researchers from SFU's School of Interactive Arts and Technology (SIAT) have demonstrated.

The team created a method which is specifically designed to update pixelating techniques use in face blurring methods, with AI 'painting' approach to anonymization 'Our goal is to create a working technique that would be much better at conveying emotional and knowledge information than current anonymization techniques,' explained DiPaola, an expert in the field of AI/VR facial recognition, head of SFU's Interactive Visualization Lab.

'With our AI, which learns from more than 1,000 years of artistic technique, we have taught the system to lower the outer resemblance and keep as high as possible the subject’s inner resemblance – in other words, what they are conveying and how they are feeling.'

Then the AI looks at the subject's facial features and his/her voice tone, and match them with the altered appearance to show emotions using colors and tones, rather than using his/her eyebrows or fierceness of the face which should be anonymized.

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