| Presentation | 2017-09-21 Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks Shunsuke Nakamura, Tatsuya Kawahara, Toshihiko Yamasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Predicting the recognition rate of television advertising is a critical issue for advertisers, but factors that contribute to the recognition rate are still mysterious. In our preliminary experiments using 11,230 advertising videos and subjective evaluation by about 600 people for each content, we found that gross rating point (GRP), which is one of the most commonly used indicator, has little correlation with the recognition rate (correlation ratio between GRP and the recognition rate was 0.3). In this study, we show that even raw deep feature is more useful and can achieve the correlation value of 0.47. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | deep neural network / television advertising / video feature / video analysis |
| Paper # | MVE2017-18 |
| Date of Issue | 2017-09-14 (MVE) |
| Conference Information | |
| Committee | MVE |
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| Conference Date | 2017/9/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Chiba Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Yoshinari Kameda(Univ. of Tsukuba) |
| Vice Chair | Kenji Mase(Nagoya Univ.) |
| Secretary | Kenji Mase(Kyoto Univ.) |
| Assistant | Takatsugu Hirayama(Nagoya Univ.) / Ryosuke Aoki(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Media Experience and Virtual Environment |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | deep neural network |
| Keyword(2) | television advertising |
| Keyword(3) | video feature |
| Keyword(4) | video analysis |
| 1st Author's Name | Shunsuke Nakamura |
| 1st Author's Affiliation | The university of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Tatsuya Kawahara |
| 2nd Author's Affiliation | VideoResearch Ltd.(VideoResearch) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The university of Tokyo(Univ. of Tokyo) |
| Date | 2017-09-21 |
| Paper # | MVE2017-18 |
| Volume (vol) | vol.117 |
| Number (no) | MVE-217 |
| Page | pp.pp.21-24(MVE), |
| #Pages | 4 |
| Date of Issue | 2017-09-14 (MVE) |