Article

Advanced Bitrate Control Methods in Intel® Media SDK

In the world of media, there is a great demand to increase encoder quality but this comes with tradeoffs between quality and bandwidth consumption. This article addresses some of those concerns by discussing advanced bitrate control methods, which provide the ability to increase quality (relative to legacy rate controls) while maintaining the bitrate constant using Intel® Media SDK/ Intel® Media...
Authored by Nikhil R. (Intel) Last updated on 07/06/2019 - 20:30
Article

Counting People: Use OpenCV* for Edge Detection

Learn how to use OpenCV* to count people using edge detection rather than using server farms.
Authored by Foster, Whitney (Intel) Last updated on 05/31/2019 - 09:24
Blog post

Intel Global IoT DevFest

Celebrating the FIRST EVER Global IoT DevFest! Registration is Still Open to Watch Replays! ATTENTION – There’s still time to sign up for the latest edition of our Intel Global IoT DevFest II on Nov 7-8th 2017.
Authored by Last updated on 07/10/2018 - 08:00
Blog post

First-ever Intel IoT Retail Workshop

As an Innovator we were so excited to get this opportunity to be a part of Intel IoT Retail Workshop at Bangalore and decided to be in it.Grace asked us to be in the workshop and Sourav,Pooja and I joined in.The first ever Intel Retail Iot Workshop was held at Hotel Royal Orchid. Bangalore The below figure shows the venue.
Authored by Abhishek 81 Last updated on 03/05/2019 - 15:04
Article

Edge Data Processing POC with the UP Squared* Board

With the amount of continuously generated data on the rise, the cost to upload and store that data in the cloud is increasing. Data is being gathered faster than it is stored and immediate action is often required. Sending all the data to the cloud can result in latency and presents risks when internet connectivity is intermittent. Edge computing involves processing data locally for immediate...
Authored by Foster, Whitney (Intel) Last updated on 10/29/2018 - 13:01
Blog post

Intel® Media Server Studio HEVC Codec Scores Fast Transcoding Title

Moscow State University (MSU) recently released its 2015 HEVC/H.265 Video Codec Comparison report with Intel® Media Server Studio’s HEVC codec showing significant competitive advantages in the Fast Transcoding category. For more details about these insights and other comparisons in the study, download the MSU 2015 HEVC/H.265 Video Codecs Comparison. (Both free and paid Pro versions are available.)
Authored by Sally Sams (Intel) Last updated on 10/08/2019 - 18:20