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In the ultra-competitive market for smartphones and other camera-enabled mobile devices, OEMs are looking for every advantage possible. Improved video and embedded vision performance and features are critical areas to be able to differentiate with. However, mobile devices present unique challenges to achieving optimal camera performance. For one, handheld devices incur lots of motion which degrades the quality of the recorded videos. In addition CMOS sensors today mostly use a rolling shutter which causes a video effect known as Jello effect which shows jerkiness of an object in the video stream. In order to reduce these effects and to achieve smoother video recording, good stabilization of the recorded video streams is required. The CEVA Digital Video Stabilizer (DVS) is an advanced software application that is able to handle both shakiness (in multiple axes) and rolling shutter effects to output smoother video streams in any light conditions for embedded devices such as smartphone, tablets and others. The DVS module was developed and supported by CEVA s in-house imaging team of experts. It is fully optimized to run in real-time using minimal processing workloads and very low memory bandwidth on the CEVA-MM3000 platforms. For example, in a 28nm process, the CEVA-MM3101 consumes less than 35mW power while running DVS on a 1080p30 fps video stream in real-time. Addressing higher resolution requirements, the DVS algorithm scales up to 4K Ultra HD video streams on a single CEVA-MM3101 platform. Delivery is given in source code format to allow users to adapt the algorithm to their specific needs and requirements, which can be done over the existing extensive configurations parameters already available. The DVS can be easily coupled with additional imaging software modules, such as Super-Resolution, Color Enhancement and High Dynamic Range, on the fully programmable CEVA-MM3000 platform. The DVS algorithm was implemented utilizing CEVA s new Application Developer Kit (ADK). The ADK serves to substantially simplify the overall software development experience, shortening the product design cycle and providing significant memory bandwidth and power consumption savings for imaging and vision applications.


- Extremely efficient for extending battery life - Could be utilized in any environment - Could be implemented on any device - Supports parameter configuration to better tune to specific device and user, supports any video resolution - Users can adapt and insert DVS into their application


- Ultra low power: <35mW @28nm - Support for various lighting conditions - No special requirements on the sensor - Configurable software-based solution - Delivered in source code format

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