Finding advertising keywords on video scripts

Authors:
Jung-Tae Lee;Hyungdong Lee;Hee-Seon Park;Young-In Song;Hae-Chang Rim
Affiliations:
Korea University, Seoul, South Korea;Samsung Electronics Co., Ltd., Suwon, South Korea;Samsung Electronics Co., Ltd., Suwon, South Korea;Microsoft Research Asia, Beijing, China;Korea University, Seoul, South Korea
Venue:
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Year:
2009

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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.