Get the free plugin for Adobe Creative Cloud, enabling NotchLC support in After Effects, Premiere and Media Encoder. Windows & macOS (Intel & Apple Silicon) supported.
From impromptu campus concerts to serious classroom confrontations, Delhi University (DU) has become a primary stage for viral content. In April 2026, the digital footprint of DU colleges—like Miranda House
Students increasingly use their smartphones as tools for accountability. Short clips showing waterlogging during monsoons, dilapidated hostel facilities, or long queues for administrative paperwork often gain massive traction. By tagging university officials and education ministries, students leverage viral reach to demand immediate structural reforms. Interpersonal Altercations and Street Fights
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later. If you share with third parties, their policies apply
Today's students live under a digital microscope. Actions that were once confined to a campus courtyard are now subject to the judgment of millions of strangers. This hyper-scrutiny can lead to intense cyberbullying, doxxing, and long-term reputational damage for the individuals caught on camera. The Power of Digital Mobilization
To help me tailor future articles or insights about university culture, could you share a bit more context? In most such cases
[Viral Video Released] │ ▼ [Algorithmic Amplification] ──► [Loss of Original Context] │ ▼ [Public Backlash & Speculation] ──► [Mental Health Toll on Students] │ ▼ [Institutional Policy Review]
often paint DU as a Pinterest-perfect world of fun and freedom, students are increasingly using the same platforms to provide "reality checks". ” forms a three-member fact-finding committee
: Principal Savita Ahuja clarified that her remarks were made in a personal capacity and were not an official institutional endorsement.
In most such cases, the college initially issues a generic statement condemning “any action that disrupts harmony,” forms a three-member fact-finding committee, and requests that students refrain from sharing the video further. A show-cause notice may be issued to identifiable individuals. Meanwhile, DU’s administration often waits for the college’s report before commenting.
Detail when you need it. Unlike other mainstream GPU codecs, NotchLC uses variable block size and variable control point bit levels to provide extra detail while allowing greater compression in areas of flatter colours.
NotchLC breaks colour data down into luma and chroma (YUV). 12bits of depth are assigned to luma data, as in many scenarios this is where bit depth is most perceivable. 8bits are assigned to each of the U & V channels.
Rather than specify target bitrates and end up with undetermined quality outcomes, NotchLC takes the reverse approach: during encoding you set a quality level, and the encoder uses the most compression it can while preserving it.
Utilising the modern SSIM measurement method, NotchLC delivers the high-quality results that are needed to be qualified as an intermediary codec. Don’t take our word for it though — read what dandelion + burdock writes in their big, independent 10bit codec test.
See how NotchLC stacks up with with another popular GPU powered codec.
Talk to any content creator about codecs and you’ll find encoding times, right at the top of the list of concerns. NotchLC utilises the full power of the GPU to massively accelerate the encoding process.
NotchLC utilises the full power of the GPU to massively accelerate the encoding process. On a consumer PC, encoding can be up to 5.7x faster than realtime at 1080p24. As an example, we encoded the Open Source movie “Big Buck Bunny” (duration 09:57) in just 1 min and 44 secs.
In a CPU codec, the CPU decodes the image and sends the huge raw frames up to the GPU. The secret sauce of a GPU codec is that compressed frames are uploaded and the GPU does the decode. The compressed frames are much smaller in size allowing vastly more video to be passed through the PCI-e bus.
Typically you will see compression ratios of around 5:1 on motion graphics content when compared to raw video. You’ll be able to dial in your final file size by using the encoder’s Quality Level (see the manual).
NotchLC can be integrated into your software or product. We have a fully documented SDK available under a commercial license. Contact us to discuss licensing options and pricing.
See the manual, or talk to other users on our community Discord.