Image-based motion estimation in a stream programming language

In this thesis, a computer vision application was implemented in the StreamIt language. The reference application was an image-based motion estimation algorithm written in MATLAB. The intent of this thesis is to contribute a case study of StreamIt, an architecture-independent language designed for stream programming. In particular, it observes StreamIt's ability to preserve block structure and to handle otherwise complicated functionality in an elegant fashion, especially in comparison to the reference implementation, coded in MATLAB. Furthermore, we observe a runtime of the StreamIt-coded application 2% faster than that of MATLAB. Lastly, the potentials of boosted performance with parallelization of subroutines within the program are discussed.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2007

Author dc:creator

• Aziz, Abdulbasier

Advisor dc:contributor.advisor

• Saman Amarasinghe.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/41250

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/41250