@inproceedings{c2b10c6f246b4747996c779cc31e4161,
title = "Contextual video advertising system using scene information inferred from video scripts",
abstract = "With the rise of digital video consumptions, contextual video advertising demands have been increasing in recent years. This paper presents a novel video advertising system that selects relevant text ads for a given video scene by automatically identifying the situation of the scene. The situation information of video scenes is inferred from available video scripts. Experimental results show that the use of the situation information enhances the accuracy of ad retrieval for video scenes. The proposed system represents one of the pioneer video advertising systems using contextual information obtained from video scripts.",
keywords = "Contextual video advertising, Scene, Script, Situation",
author = "Yi, {Bong Jun} and Lee, {Jung Tae} and Woo, {Hyun Wook} and Rim, {Hae Chang}",
year = "2010",
doi = "10.1145/1835449.1835608",
language = "English",
isbn = "9781605588964",
series = "SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",
pages = "771--772",
booktitle = "SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval",
note = "33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 ; Conference date: 19-07-2010 Through 23-07-2010",
}