CEVA Enriches its Computer Vision Software Library for Flagship CEVA-MM3101 Imaging and Vision Platform - KiiiTV.com South Texas, Corpus Christi, Coastal Bend

CEVA Enriches its Computer Vision Software Library for Flagship CEVA-MM3101 Imaging and Vision Platform

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SOURCE CEVA, Inc.

- Functions such as HOG, ORB, SURF and Optical Flow now included in more than 750 functions in the CEVA-CV library

- CEVA's Android Multimedia Framework (AMF) streamlines programmers integration of CEVA-CV library with Android OS

- Offloading of computer vision functions from CPU or GPU onto CEVA-MM3101 significantly increases performance and reduces power consumption of overall system

MOUNTAIN VIEW, Calif., Feb. 20, 2014 /PRNewswire/ -- CEVA, Inc. (NASDAQ: CEVA), the leading licensor of silicon intellectual property (SIP) platforms and DSP cores today announced that it has enriched  its CEVA-CV computer vision real-time library to include more than 750 functions, further simplifying the programming and development of computer vision (CV) applications for a wide range of end markets, including mobile, automotive, surveillance, consumer and the Internet of Things. Combining the latest release of the CEVA-CV computer vision library with CEVA's Android Multimedia Framework (AMF), eases the integration of CEVA-CV functions with any Android-based application processor. This, in turn, significantly increases performance and substantially lowers the power consumption of CV-enabled devices by offloading all computer vision processing from the CPU or GPU. CEVA will showcase its CEVA-CV extended library, AMF and latest computer vision applications running on the CEVA-MM3101 imaging and vision platform at the upcoming Mobile World Congress (Hall 6 Stand A50).

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New functions added in the latest CEVA-CV release include feature detection kernels and object recognition algorithms such as Harris Corner, Hough Transform, Integral Sum, Fast, LBP, SURF, HOG, SVM, and ORB detection and matching. These are commonly used in augmented reality applications for smartphones, tablets, wearable devices, Natural User Interface (NUI), surveillance and Advanced Driver Assistance Systems (ADAS) applications. New optical flow kernels include KLT and Block Matching, which are used for motion detection and object tracking required in camera-enabled devices to implement applications such as digital video stabilization, augmented reality and gesture recognition. CEVA-CV now also includes kernels required by The Khronos Group's OpenVX 1.0 specification, which is set to become the key standard for cross-platform acceleration of computer vision applications and libraries.

"The CEVA-MM3101 is the industry's most proven and widely adopted platform for computer vision, with multiple tier one semiconductor and OEM licensees already incorporating it into their next-generation products and leveraging the CEVA-CV functions to develop their applications," said Erez Bar-Niv, CTO of CEVA. "The addition of more than 250 new computer vision functions has been widely acclaimed by the growing CEVA-MM3101 developer's community, enabling them to develop the most advanced CV applications while reducing the design complexity and power consumption for CV-enabled devices."

To view a sample of computer vision applications utilizing the CEVA-MM3101 imaging and vision platform and the CEVA-CV library, visit http://www.youtube.com/watch?v=HLCqcvVyohk.

About CEVA, Inc.
CEVA is the world's leading licensor of silicon intellectual property (SIP) DSP cores and platform solutions for the mobile, digital home and networking markets. CEVA's IP portfolio includes comprehensive technologies for cellular baseband (2G / 3G / 4G), multimedia (vision, imaging and HD audio), voice processing, Bluetooth, Serial Attached SCSI (SAS) and Serial ATA (SATA). In 2013, CEVA's IP was shipped in over 1 billion devices, powering smartphones from many of the world's leading OEMs, including HTC, Huawei, Lenovo, LG, Nokia, Motorola, Samsung, Sony, TCL and ZTE. Today, more than 40% of handsets shipped worldwide are powered by a CEVA DSP core. For more information, visit www.ceva-dsp.com. Follow CEVA on twitter at www.twitter.com/cevadsp.

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