| Paper Abstract and Keywords |
| Presentation |
2019-02-09 13:30
Video classification using signals and semantic level metadata for ambiguous video search
Ryunosuke Itabashi, Nobuyuki Yagi (Tokyo City Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
It is becoming possible to find the expected videos in the internet with considerable accuracy, but the developed technology does not suit to search videos, when keywords are not clear. To solve the problem, the video search method for ambiguous aim is investigated. Previous report described the results of comparative analysis between machine-learning classification with signal-level metadata and manual classification of videos chosen from NHK Creative Library, according to whether to want to watch or not at the time of relaxing. This report describes the result of classification experiment with combination of signal-level and semantic-level metadata. It is found that classification combining signal level and semantic-level metadata is more effective approach to sentimental demands. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Video search / Ambiguous search / Video analysis / Classification / Machine learning / Image features / / |
| Reference Info. |
ITE Tech. Rep., vol. 43, no. 4, ME2019-11, pp. 31-34, Feb. 2019. |
| Paper # |
ME2019-11 |
| Date of Issue |
2019-02-02 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
ME |
| Conference Date |
2019-02-09 - 2019-02-09 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kanto Gakuin University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
ME |
| Conference Code |
2019-02-ME |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Video classification using signals and semantic level metadata for ambiguous video search |
| Sub Title (in English) |
|
| Keyword(1) |
Video search |
| Keyword(2) |
Ambiguous search |
| Keyword(3) |
Video analysis |
| Keyword(4) |
Classification |
| Keyword(5) |
Machine learning |
| Keyword(6) |
Image features |
| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Ryunosuke Itabashi |
| 1st Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name |
Nobuyuki Yagi |
| 2nd Author's Affiliation |
Tokyo City University (Tokyo City Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2019-02-09 13:30:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
ME2019-11 |
| Volume (vol) |
vol.43 |
| Number (no) |
no.4 |
| Page |
pp.31-34 |
| #Pages |
4 |
| Date of Issue |
2019-02-02 (ME) |