Free software is simply software that respects our freedom — our freedom to learn and understand the software we are using. Free software is designed to free the user from restrictions put in place by proprietary software, and so using free software lets you join a global community of people who are making the political and ethical assertion of our rights to learn and to share what we learn with others.
WebM is an open, royalty-free, media file format designed for the web.
WebM defines the file container structure, video and audio formats. WebM files consist of video streams compressed with the VP8 or VP9 video codecs and audio streams compressed with the Vorbis or Opus audio codecs.
The WebM file structure is based on the Matroska container.
Openness and innovation. A key factor in the web’s success is that its core technologies such as HTML, HTTP, and TCP/IP are open for anyone to implement and improve. With video being core to the web experience, a high-quality, open video format choice is needed. WebM is 100% free, and open-sourced under aBSD-style license.
Optimized for the web. Serving video on the web is different from traditional broadcast and offline mediums. Existing video formats were designed to serve the needs of these mediums and do it very well. WebM is focused on addressing the unique needs of serving video on the web.
Low computational footprint to enable playback on any device, including low-power netbooks, handhelds, tablets, etc.
Simple container format
Highest quality real-time video delivery
Click and encode. Minimal codec profiles and sub-options. When possible, let the encoder make the tough choices.
Conservancy is continuing its shift towards being a Supporter-driven organization so we can focus on critical free software issues. Support our great member projects, stand up for the GPL, and make your voice heard in support of free software. We're counting on you. Donate today!
Software is critical to all of our infrastructure and as a society, we are deeply reliant on the software we use. Making sure our software is free and open assures that tomorrow we can still use those solutions we invest in today. Software freedom is fundamental — we need it in order to effectively solve our problems in the long term. While the world today is powered increasingly by free software, many people don't realize is how much support is needed to keep all of these projects free and open. The work that we do every day ensures the success and the continued freedom of the projects. Our developers dedicate themselves to improving our member projects, and we enable them to do that. This includes projects like Git, Samba, Wine, BusyBox, QEMU, Inkscape, Selenium, and dozens more.
We are asking for you to join us as a Conservancy Supporter. Last year, over 1,000 of you became annual Supporters, allowing us to continue our basic operations. We still need 2,500 (total) annual Supporters to continue our full range of operations through 2017. If you don't become a Supporter now, we will be forced to reduce our program activities going forward.
Researchers at Princeton and Stanford universities have found a specific person's online behavior can be identified by linking anonymous Web browsing histories with social media profiles. Although the U.S. Federal Communications Commission recently adopted privacy rules for Internet service providers permitting them to store and use consumer information only when it is "not reasonably linkable" to individual users, the study suggests pseudonymous browsing histories fail this test. The researchers wanted to determine if it was possible to de-anonymize Web browsing and identify a user even if the browsing history did not include identities. They limited themselves to publicly available information, with social media profiles that include links to outside Web pages offering the strongest possibilities. The team created an algorithm to compare anonymous browsing histories with links appearing in people's public social media accounts. "Given a history with 30 links originating from Twitter, we can deduce the corresponding Twitter profile more than 50 percent of the time," the researchers note. "All the evidence we have seen piling up over the years showing the strong limits of data anonymization, including this study, really emphasizes the need to rethink our approach to privacy and data protection in the age of big data," says Imperial College London professor Yves-Alexandre de Montjoye.