19 December 2017 Advertisement recognition using mode voting acoustic fingerprint
Author Affiliations +
Proceedings Volume 10613, 2017 International Conference on Robotics and Machine Vision; 106130D (2017) https://doi.org/10.1117/12.2304627
Event: Second International Conference on Robotics and Machine Vision, 2017, Kitakyushu, Japan
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Reza Fahmi, Reza Fahmi, Hosein Abedi Firouzjaee, Hosein Abedi Firouzjaee, Ali Janalizadeh Choobbasti, Ali Janalizadeh Choobbasti, S. H. E. Mortazavi Najafabadi, S. H. E. Mortazavi Najafabadi, Saeid Safavi, Saeid Safavi, "Advertisement recognition using mode voting acoustic fingerprint", Proc. SPIE 10613, 2017 International Conference on Robotics and Machine Vision, 106130D (19 December 2017); doi: 10.1117/12.2304627; https://doi.org/10.1117/12.2304627


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