Analysing the performance of the OLAF framework in the context of identifying music in movies

Bachelor Thesis (2021)
Author(s)

C.W.R. Hildebrand (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

C.C.S. Liem – Mentor (TU Delft - Multimedia Computing)

Jeahun Kim – Mentor (TU Delft - Multimedia Computing)

Jesse Krijthe – Graduation committee member (TU Delft - Pattern Recognition and Bioinformatics)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2021 Casper Hildebrand
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 Casper Hildebrand
Graduation Date
02-07-2021
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

This paper presents the findings of a benchmark performed on the audio fingerprinting framework OLAF in the context of movie music. The goal is to find a music identification framework suitable for automatically identifying a song from a movie clip. This research aims to find how well OLAF performs in this context with regard to the criteria determined in the benchmark and to see if the performance can be increased. The OLAF framework makes use of parameters, which are individually tweaked and benchmarked with synthesised data. These findings are then combined to find a set of parameters that is used to perform this same benchmark on real clips from movies. The found parameter setup slightly increased the performance, going from 1 true positive and 133 false negatives in the original setup to 5 true positives, 3 false positives and 126 false negatives.

Files

OLAF.pdf
(pdf | 0.549 Mb)
License info not available