Addressing System-Level Optimization with OpenVX Graphs

During the performance optimization of a computer vision system, developers frequently run into platform-level inefficiencies and bottlenecks that can not be addressed by traditional methods. OpenVX is designed to address such system-level issues by means of a graph-based computation model. This approach differs from the traditional acceleration of one-off functions, and exposes optimization possibilities that might not be available or obvious with traditional computer vision libraries such as OpenCV.

Authors: 
Erik Rainey (Texas Instruments)
Jesse Villareal (Texas Instruments)
Goksel Dedeoglu (PercepTonic)
Kari Pulli (NVIDIA)
Thierry Lepley (NVIDIA)
Frank Brill (NVIDIA)
Publication Date: 
Sunday, June 1, 2014
Research Area: