The Video Gross Error Detection methodology is designed to provide a platform independent, automated way to measure content delivery and quantify the video playback experience.
By Alex A. Lopez-Estrada Applications Engineer, Intel Software and Solutions Group
by Khang Nguyen
IPP image processing and color conversion FAQ
Using Intel® Streaming SIMD Extensions and Intel® Integrated Performance Primitives to Accelerate AlgorithmsThis paper examines how to use Intel® SSE to accelerate an image processing application, how to take advantage of it using compiler directives for optimal SIMD code generation, and how to employ Intel® IPP to fully exploit SIMD acceleration.
High quality image and video processing has become an important part in many professional and consumer applications. This article shares insights and methods gained during a shared work by HP* Labs and Intel on optimizing several imaging algorithms.
Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector ExtensionsThis article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized code.
The version 1.5 release of the Intel® Media Software Development Kit (SDK) equips developers with a standard API for creating video solutions that target consumer and professional uses. This is the V1.5 Media SDK Product Brief.
This white paper proposes an implementation for the Infinite Impulse Response (IIR) Gaussian blur filter using Intel® Advanced Vector Extensions (Intel® AVX) instructions. For a 2048x2048 image size, the AVX implementation is ~2X faster than the SSE code.