A High Performance Multi-Perspective Vision Studio

Eugene Borovikov, Alan Sussman, Larry Davis

(Paper #90)


Abstract

We describe a multi-perspective vision studio as a flexible high performance framework for solving complex image processing and machine vision problems on multi-view image sequences. The studio abstracts multi-view image data from image sequence acquisition facilities, stores and catalogs sequences in a high performance distributed database, allows customization of back-end processing services, and can serve custom client applications, thus helping make multi-view video sequence processing efficient and generic. To illustrate our approach, we describe several multi-perspective studio applications, and discuss performance and scalability results.

Keywords:

Digital Video, Animation and Multimedia
Visualization / Graphics
Database
Distributed Systems