@inproceedings{c907e4f8587348c5a2d6b780090b100c,
title = "Finding advertising keywords on video scripts",
abstract = "A key to success to contextual in-video advertising is finding advertising keywords on video contents effectively, but there has been little literature in the area so far. This paper presents some preliminary results of our learning-based system that finds relevant advertising keywords on particular scene of video contents using their scripts. The system is trained with not only features proven useful in earlier studies but novel features that reflect the situation of a targeted scene. Experimental results show that the new features are potentially helpful for enhancing the accuracy of keyword extraction for contextual in-video advertising.",
keywords = "Contextual in-video advertising, Keyword extraction",
author = "Lee, {Jung Tae} and Hyungdong Lee and Park, {Hee Seon} and Song, {Young In} and Rim, {Hae Chang}",
year = "2009",
doi = "10.1145/1571941.1572078",
language = "English",
isbn = "9781605584836",
series = "Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009",
pages = "686--687",
booktitle = "Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009",
note = "32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 ; Conference date: 19-07-2009 Through 23-07-2009",
}