User experience is an important differentiating feature for Intel future products. Perceptual computing (e.g., face recognition, gesture recognition and object tracking), usually demanding high computational power, plays a crucial role in enriching user experience. With the integrated graphic processors are becoming ubiquitous, new languages are developed to address GPGPU programmability, e.g., OpenCL, Compute Shader, MS C AMP. Writing applications using those languages, although achieving portability, does not guarantee to fully exploit the underneath HW features. The talk presents an on-going video acceleration library effort that provides C/C interface that numerous users are comfortable and familiar with while minimizing the runtime overhead between CPU and GPU and fully leveraging Intel Video Analytic Fixed Functions.