| Paper Abstract and Keywords |
| Presentation |
2008-12-19 10:00
Degree-of-Edit Order Estimation for Consumer Genrated Video Retrieval Go Irie, Kota Hidaka, Takashi Sato (NTT Cyber Solutions Laboratories/Nippon Telegraph and Telepone C), Akira Kojima (NTT Corp.), Kiyoharu Aizawa (Tokyo Univ.) PRMU2008-172 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we consider about introducing {\em degree-of-edit order} which represents ``how much a CGV is edited'' as a novel ranking measure for the Consumer Generated Video (CGV) retrieval, and propose an automatic degree-of-edit order estimation method. Our method estimates degree-of-edit order determined by users resulting from statistical analysis of several visual/audio features such as the number of detected shot boundaries and the duration ratio of the music that change depending on the edited level of each CGV. We conducted several experiments using a subset of distributed CGV data to evaluate the discriminant accuracy on the ground truth data by subjects, and rank correlation between degree-of-edit order determined by subjects and it estimated by our method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
degree-of-edit order / consumer generated video / video indexing / video retrieval / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 108, no. 363, PRMU2008-172, pp. 147-152, Dec. 2008. |
| Paper # |
PRMU2008-172 |
| Date of Issue |
2008-12-11 (PRMU) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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| Download PDF |
PRMU2008-172 |