Share Email Print
cover

Proceedings Paper

Advertisement recognition using mode voting acoustic fingerprint
Author(s): Reza Fahmi; Hosein Abedi Firouzjaee; Ali Janalizadeh Choobbasti; S. H. E. Mortazavi Najafabadi; Saeid Safavi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Emergence of media outlets and public relations tools such as TV, radio and the Internet since the 20th century provided the companies with a good platform for advertising their goods and services. Advertisement recognition is an important task that can help companies measure the efficiency of their advertising campaigns in the market and make it possible to compare their performance with competitors in order to get better business insights. Advertisement recognition is usually performed manually with help of human labor or is done through automated methods that are mainly based on heuristics features, these methods usually lack abilities such as scalability, being able to be generalized and be used in different situations. In this paper, we present an automated method for advertisement recognition based on audio processing method that could make this process fairly simple and eliminate the human factor out of the equation. This method has ultimately been used in Miras information technology in order to monitor 56 TV channels to detect all ad video clips broadcast over some networks.

Paper Details

Date Published: 19 December 2017
PDF: 6 pages
Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130D (19 December 2017); doi: 10.1117/12.2304627
Show Author Affiliations
Reza Fahmi, Miras Information Technology (Iran, Islamic Republic of)
Hosein Abedi Firouzjaee, Miras Information Technology (Iran, Islamic Republic of)
Ali Janalizadeh Choobbasti, Miras Information Technology (Iran, Islamic Republic of)
S. H. E. Mortazavi Najafabadi, Miras Information Technology (Iran, Islamic Republic of)
Saeid Safavi, Univ. of Hertfordshire (United Kingdom)


Published in SPIE Proceedings Vol. 10613:
2017 International Conference on Robotics and Machine Vision
Chiharu Ishii; Genci Capi; Jianhong Zhou, Editor(s)

© SPIE. Terms of Use
Back to Top