Hannover, Germany- German video IP and solution provider videantis announced today its new unified vision and video coding solution for mobile, home and automotive applications.
The solution combines the company’s low-power, scalable v-MP4000HDX processor IP core family with an accelerated OpenCV library, and a suite of Full HD and 4K video encoders and decoders. This licensable solution enables a slew of new applications for mobile, gaming and TV platforms: augmented reality, gesture interfacing, depth mapping and computational photography enable new user experiences and usage models. In automotive applications, the company’s low-delay, high dynamic range video codecs combined with computer vision techniques enable both camera-based advanced driver assistance systems and surround-view cameras to prevent collisions.
All of these applications have one thing in common: they require a high-performance, low-power flexible video processing subsystem such as the v-MP4000HDX to run the computationally demanding algorithms that can extract meaning from the images the cameras capture, without draining the battery. This same architecture also supports video compression and decompression, so that the system can simultaneously decompress, analyze and compress video data.
“We’ve been shipping our processor for multi-format HD video coding for some time. Our customers asked if we could add support for computer vision after they experienced our power and area efficiency on video coding applications, and so we did,” says Hans-Joachim Stolberg, videantis’s CEO. “We optimized the widely used OpenCV library for our v-MP4000HDX architecture and combined it with our video codecs, so they’re able to run concurrently. In addition, we took great care in optimizing both the hardware and software for low-power operation, which is of course important for mobile applications, but also a major factor for embedded applications.”
“I commend videantis for responding to the growing desire of system engineers to create devices incorporating visual intelligence,” said Jeff Bier, founder of the Embedded Vision Alliance. Innovations like the v-MP4000HDX processor family, coupled with an optimized version of the popular OpenCV library, will help designers realize the potential of embedded vision by enabling sophisticated vision algorithms to be implemented with reduced power consumption.”
