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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 |
| Pages | 686-687 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2009 Dec 28 |
| Event | 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 - Boston, MA, United States Duration: 2009 Jul 19 → 2009 Jul 23 |
Other
| Other | 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009 |
|---|---|
| Country | United States |
| City | Boston, MA |
| Period | 09/7/19 → 09/7/23 |
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Keywords
- Contextual in-video advertising
- Keyword extraction
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Information Systems and Management
Cite this
Finding advertising keywords on video scripts. / Lee, Jung Tae; Lee, Hyungdong; Park, Hee Seon; Song, Young In; Rim, Hae-Chang.
Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009. 2009. p. 686-687.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Finding advertising keywords on video scripts
AU - Lee, Jung Tae
AU - Lee, Hyungdong
AU - Park, Hee Seon
AU - Song, Young In
AU - Rim, Hae-Chang
PY - 2009/12/28
Y1 - 2009/12/28
N2 - 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.
AB - 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.
KW - Contextual in-video advertising
KW - Keyword extraction
UR - http://www.scopus.com/inward/record.url?scp=72449180894&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72449180894&partnerID=8YFLogxK
U2 - 10.1145/1571941.1572078
DO - 10.1145/1571941.1572078
M3 - Conference contribution
AN - SCOPUS:72449180894
SN - 9781605584836
SP - 686
EP - 687
BT - Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009
ER -