Presentation | 1999/7/15 Robust and Efficient Face Sequence Matching Shin'ichi Satoh, Norio Katayama, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Face information is quite important especially for news programs, dramas, and movies. However, face sequences in videos are subject to variation in lighting condition, pose, face expression, etc., which cause difficulty in face matching. These problems are tackled to achieve robust face sequence matching applicable to real video domains, and its efficient implementation is presented. The paper proves the proposed method achieves good performance in actual video domains. In addition, by the combination with the high-dimensional index structure, the algorithm achieves practical computational time, as well as scalability against increase of the number of faces. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Video analysis / Pattern classification / Spatial data structures / Face recognition |
Paper # | MVE99-39 |
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Conference Information | |
Committee | MVE |
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Conference Date | 1999/7/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Robust and Efficient Face Sequence Matching |
Sub Title (in English) | |
Keyword(1) | Video analysis |
Keyword(2) | Pattern classification |
Keyword(3) | Spatial data structures |
Keyword(4) | Face recognition |
1st Author's Name | Shin'ichi Satoh |
1st Author's Affiliation | National Center for Science Information Systems (NACSIS)() |
2nd Author's Name | Norio Katayama |
2nd Author's Affiliation | National Center for Science Information Systems (NACSIS) |
Date | 1999/7/15 |
Paper # | MVE99-39 |
Volume (vol) | vol.99 |
Number (no) | 183 |
Page | pp.pp.- |
#Pages | 6 |
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