Risk
3/29/2012
02:53 PM
Connect Directly
LinkedIn
Twitter
Google+
RSS
E-Mail
50%
50%

YouTube Tool Blurs Faces To Protect Privacy

YouTube plans to give video makers an easy way to blur faces to protect the privacy of people who don't want to appear in online videos.

In an effort to serve the human rights community and to address privacy complaints from people featured without permission in other people's videos, Google's YouTube is developing a way for video makers to easily obscure the faces of people in their videos.

Google has had the ability to blur faces in still images for several years and has deployed the technology in an automated fashion to obscure the faces of people captured in its Street View images.

Within a few months, YouTube hopes to make the technology available for online video, said Victoria Grand, YouTube director of global communications and policy.

Grand mentioned YouTube's blurring technology in a panel discussion at Google Big Tent, a technology policy event held at the Computer History Museum in Mountain View, Calif., on Thursday, and provided further details after the session.

[ Read The Bill To Blur Google Earth. ]

The human rights community, said Grand, has been asking for the ability to conceal people's faces in videos for several years.

Blurring people's faces in a video is not a difficult post-production task, given the right digital video software. There are videos on YouTube that explain how to do so. But many YouTube users upload their videos without any editing or post-production work, or without asking all the people featured in the video.

YouTube is working to add a blurring tool to its video editing toolkit, so extra software isn't necessary.

Grand says that the tool will provide YouTube with another option for dealing with privacy complaints submitted by people depicted in another user's videos. At the moment, she said, when YouTube receives this sort of complaint, it gives the video creator two days to remove the video. If no action is taken and the complaint is not resolved, YouTube will remove the offending video.

Once the blur tool is made available, video creators will have the option to edit the video in question so the complainant's face is blurred. This will allow the video to remain on YouTube.

The biggest threat to your company's most sensitive data may be the employee who has legitimate access to corporate databases but less-than-legitimate intentions. Follow our advice in our Defend Data From Malicious Insiders report to mitigate the risk. (Free registration required.)

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
PWHITING000
50%
50%
PWHITING000,
User Rank: Apprentice
4/2/2012 | 1:15:46 PM
re: YouTube Tool Blurs Faces To Protect Privacy
I have a patented technology that can automatically track and blur faces...but it also encrypts the blurred faces so that they can be recovered later (if you have the encryption key). That way privacy is protected, but the information is not lost. Anyone know who to contact at YouTube (and how) to see if our product might be of interest to them?
Bprince
50%
50%
Bprince,
User Rank: Ninja
3/30/2012 | 1:36:55 AM
re: YouTube Tool Blurs Faces To Protect Privacy
This is interesting, and could save some people from some embarrassing moments while preserving the actual video.
Brian Prince, InformationWeek/Dark Reading Comment Moderator
Register for Dark Reading Newsletters
White Papers
Cartoon
Current Issue
Dark Reading Must Reads - September 25, 2014
Dark Reading's new Must Reads is a compendium of our best recent coverage of identity and access management. Learn about access control in the age of HTML5, how to improve authentication, why Active Directory is dead, and more.
Flash Poll
Video
Slideshows
Twitter Feed
Dark Reading - Bug Report
Bug Report
Enterprise Vulnerabilities
From DHS/US-CERT's National Vulnerability Database
CVE-2012-5485
Published: 2014-09-30
registerConfiglet.py in Plone before 4.2.3 and 4.3 before beta 1 allows remote attackers to execute Python code via unspecified vectors, related to the admin interface.

CVE-2012-5486
Published: 2014-09-30
ZPublisher.HTTPRequest._scrubHeader in Zope 2 before 2.13.19, as used in Plone before 4.3 beta 1, allows remote attackers to inject arbitrary HTTP headers via a linefeed (LF) character.

CVE-2012-5487
Published: 2014-09-30
The sandbox whitelisting function (allowmodule.py) in Plone before 4.2.3 and 4.3 before beta 1 allows remote authenticated users with certain privileges to bypass the Python sandbox restriction and execute arbitrary Python code via vectors related to importing.

CVE-2012-5488
Published: 2014-09-30
python_scripts.py in Plone before 4.2.3 and 4.3 before beta 1 allows remote attackers to execute Python code via a crafted URL, related to createObject.

CVE-2012-5489
Published: 2014-09-30
The App.Undo.UndoSupport.get_request_var_or_attr function in Zope before 2.12.21 and 3.13.x before 2.13.11, as used in Plone before 4.2.3 and 4.3 before beta 1, allows remote authenticated users to gain access to restricted attributes via unspecified vectors.

Best of the Web
Dark Reading Radio
Archived Dark Reading Radio
In our next Dark Reading Radio broadcast, we’ll take a close look at some of the latest research and practices in application security.