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.
This article talks about how one of our ISVs had used our Intel tools to identify issues with their application and improve the performance. After the code tuneup, they were able to gain 350% improvement in performance.
By Lee Purcell
This whitepaper discusses the implementation guidelines for the decoding of H.264/AVC video using DXVA on the Intel® Graphics Media Accelerator X4500HD to enable full 1080p high definition video playback, including Blu-ray* movies.
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.