New low-power unified computer vision and video processing solution from videantis

The videantis processor is 100 times more powerful and consumes 1000 times less energy than host CPUs on video and vision applications

Hannover, Germany, July 18, 2013 - 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.”

Efficient processor architecture

The v-MP4000HDX architecture scales from a three-core v-MP4120HDX subsystem with a single stream processor and two media processors to a ten-core v-MP4280HDX subsystem that includes two stream processors and eight media processors. The v-MP4180HDX subsystem performs 192 16-bit pixel operations per cycle, 24 on each of its eight two-issue VLIW media processors. This subsystem is under 2mm2 of silicon in 28nm technology, including memories. With four media processors, the v-MP4140HDX subsystem performs 96 16-bit pixel operations per cycle. This subsystem is under 1mm2 of silicon in 28nm technology, including memories. Thanks to its flexible architecture, the subsystem can run video codecs, imaging, computer vision, and computational photography algorithms all simultaneously.

OpenCV support

The v-MP4000HDX accelerates OpenCV, the de facto standard for open computer vision libraries. OpenCV has been downloaded over 3 million times and is widely used in both academia and industry. Using OpenCV, algorithm development can take place in a standard PC-based environment. Once algorithm development and testing are completed, the application can seamlessly be migrated toward an embedded videantis-enabled platform where the OpenCV function calls are accelerated by the v-MP4000HDX subsystem. This acceleration results in a speedup of more than 100x compared to running on the host CPU, and power consumption that’s 1000x lower. This way the v-MP4000HDX supports full HD processing, allowing for more accurate algorithms and an overall higher-quality user experience.

Video codec support

Besides running computer vision algorithms, the v-MP4000HDX supports the following codecs running at Full HD or 4K resolution for decode and Full HD for encode:

• H.264/AVC, including MVC
• Google VP8 / WebM Project, On2 VP6
• RealVideo 8/9/10
• MPEG-4 SP/ASP
• DivX, XviD
• H.263, Flash (Sorenson)
• WMV-9/VC-1
• MPEG-2, MPEG-1
• JPEG, MJPEG

Since the subsystem is software programmable, additional coding standards can run on the same silicon. The v-MP4000HDX can be firmware upgraded to run H.265/HEVC, VP9 or high dynamic range still image codecs, for example.

Availability

The v-MP4000HDX processor IP core, optimized OpenCV library and suite of video codecs are now available for licensing. A development and evaluation system is available that includes a 40nm implementation of the v-MP4280HDX processor at 400MHz, a 1GHz ARM host CPU, camera input, HDMI output and networking.

About videantis

videantis GmbH, headquartered in Hannover, Germany, is a one-stop video IP and solution provider delivering flexible multi-standard HW/SW video, imaging and vision solutions for mobile, consumer, and automotive markets. Based on a unified processor platform approach that is licensed to chip manufacturers, videantis provides tailored solutions to meet the specific needs of their customers. With their core competencies of deep video application expert know-how and strong SoC design and system architecture expertise, videantis passionately serves a worldwide customer basis with a diverse range of target applications, such as mobile phones, over-the-top TV, in-car infotainment or driver assist systems. videantis has been recognized with the Deloitte Technology Fast 50 Germany Award as one of the 50 fastest growing technology companies in Germany. For more information about videantis, please visit www.videantis.com.

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