Title :
Vision System Development through Separation of Management and Processing
Author :
Afrah, Amir ; Miller, Gregor ; Fels, Sidney
Author_Institution :
Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Abstract :
We are addressing two aspects of vision-based system development that are not fully exploited in current frameworks: abstraction over low-level details and high-level module reusability. Through an evaluation of existing frameworks, we relate these shortcomings to the lack of systematic classification of sub-tasks in vision-based system development. In this paper we present our work-in-progress which addresses these two issues by classifying vision into decoupled sub-tasks, hence defining a clear scope for a vision-based system development framework and its sub-components. Firstly, we decompose the task of vision system development into data management and processing. We then proceed to further decompose data management into three components: data access, conversion and transportation. We present the Vision Utility (VU) framework which provides abstraction over the vision system data management and verify this approach through an example vision system.
Keywords :
computer vision; image classification; data access; data conversion; data management; data processing; data transportation; module reusability; subtask classification; vision classification; vision utility; vision-based system development; Cameras; Computer vision; Data mining; Electric breakdown; Engineering management; Image converters; Image processing; Libraries; Machine vision; Multimedia systems;
Conference_Titel :
Multimedia, 2009. ISM '09. 11th IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-5231-6
Electronic_ISBN :
978-0-7695-3890-7
DOI :
10.1109/ISM.2009.124