A novel IPTV framework for automatic TV commercials detection, labeling, recognition and replacement
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Date
2023
Authors
Arsan, Taner
Bulut, Enes Emre
Eren, Berk
Uzgor, Ahmet
Yolcu, Selcuk
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Volume Title
Publisher
Springer
Open Access Color
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Abstract
Advertisements are one of the most important way for companies to access their customers. In this context, televison commercials are gaining significant importance in many sectors daily, and it is crucial for companies to promote their products in the best way. This creates a big rivalry between companies. From this point of view, we have created an IPTV Framework that can automatically detect commercials of rival companies and replace them with desired commercials for companies to help them highlight their products to their customers. We have benefited from monochrome frames to detect the Livestream commercial block and proposed a fingerprint algorithm to create an automatic commercial database. We can easily recognize the commercials, and we can mask the commercials of rival companies with these techniques. We have tested our algorithm in real-time by streaming a recorded broadcast from a server of a specific TV channel. Experimental results show that our algorithm provides high accuracy in real-time commercial recognition.
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Keywords
Commercial detection and recognition, IPTV, Segmentation, Live broadcasting, Video streaming, Segmentation, Commercial replacing
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Citation
0
WoS Q
N/A
Scopus Q
Q1
Source
Multimedia Tools and Applications
Volume
82
Issue
6
Start Page
8561
End Page
8579