Latest revision as of 08:33, 2 February 2021

Abstract

Recent interest in developing online computer vision algorithms is spurred in part by a growth of applications capable of generating large volumes of images and videos. These applications are rich sources of images and video streams. Online vision algorithms for managing, processing and analyzing these streams need to rely upon streaming concepts, such as pipelines, to ensure timely and incremental processing of data. This paper is a first attempt at defining a formal stream algebra that provides a mathematical description of vision pipelines and describes the distributed manipulation of image and video streams. We also show how our algebra can effectively describe the vision pipelines of two state of the art techniques.

Original document

The different versions of the original document can be found in:

• http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W20/papers/Helala_A_Stream_Algebra_2014_CVPR_paper.pdf

• http://xplorestaging.ieee.org/ielx7/6909102/6909944/06910073.pdf?arnumber=6910073,

http://dx.doi.org/10.1109/cvprw.2014.122

• https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W20/papers/Helala_A_Stream_Algebra_2014_CVPR_paper.pdf,

https://dblp.uni-trier.de/db/conf/cvpr/cvprw2014.html#HelalaPQ14,

https://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W20/html/Helala_A_Stream_Algebra_2014_CVPR_paper.html,

http://faculty.uoit.ca/qureshi/pubs/14-vsm-w.pdf,

https://academic.microsoft.com/#/detail/2061832616