Abstract
Commercials (ads) identification and measure their statistics from a video stream is an essential requirement. The duration of a commercial and the timing on which the commercial runs on TV cost differently to the ads owner. Automatic systems that measure these statistics will facilitate the ad owner. This research presents a system that segment semantic videos and identify commercials automatically from broadcast TV transmission. The proposed technique uses color histogram and SURF features resulting in identify individual ads from TV transmission video stream. Experimental results on unseen videos demonstrate better results for ads identification. The target for the proposed approach is television transmission that do not use blank frame between the ads and a non-ad part of the transmission like in Pakistan, different from European countries TV transmission. The proposed segmentation approach is unsupervised.
Highlights
Commercials display on broadcasted TV transmission are a very important part of transmission as majority of revenue for a broadcaster is generated by advertising as well as useful sources of information for the viewers
Knowing what, when and who is advertising can be useful information in knowing market trends and forming business strategy. These commercials can be used as interesting object or segment for semantic analysis of videos
The proposed framework chose commercials that appear in television transmission broadcast for semantic analysis
Summary
Commercials display on broadcasted TV transmission are a very important part of transmission as majority of revenue for a broadcaster is generated by advertising as well as useful sources of information for the viewers. Knowing what, when and who is advertising can be useful information in knowing market trends and forming business strategy These commercials can be used as interesting object or segment for semantic analysis of videos. The target was to develop a framework that can differentiate between commercial and non- commercial segment and compute the statistics of any particular commercial in a TV transmission video stream. The proposed framework is developed for the transmission that does not use presence of black frames between commercials like in Pakistan TV transmission. Others have used absence of channel logo during the commercial break as a way of separating a video between commercial and non-commercial segments [2] this only technique is again not uses in TV transmission in Pakistan.
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