| Presentation | 2017-10-19 Analysis of Relationship between Big Five Model based User Attributes and Camera Selecting Tendency for Multi-camera Videos Xueting Wang, Yu Enokibori, Takatsugu Hirayama, Kensho Hara, Kenji Mase, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Multi-camera videos taken by plural cameras can provide abundant informationand high flexibility in enhancing viewing experience. It is necessary to provide personal viewing support by automaticallyrecommending suitable viewpoint sequence when the number of selectableviewpoints increases. Some automatic viewpoints recommending methods have been developed by learningusers' viewing records. Since it is difficult to acquire enough personal viewing records, we consider iteffective to recommend viewpoints based on viewing records of other users withsimilar viewing tendency. Thus, we proposed a group-based recommendation framework. We first conduct user grouping basedon existing users' viewing records. We analyze the relationship between user attributes related to viewing includingbig five model based personality and each generated group to estimate the membergroup using user attributes. As a result, we can recommend viewpoints even to a new user by a commonrecommendation model of the group with similar viewing tendency. We evaluated the group based recommendation by calculating the recommendingaccuracy comparing to the real viewing records. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi-view video / viewpoint recommendation / user grouping / soccer game / big five model |
| Paper # | MVE2017-30 |
| Date of Issue | 2017-10-12 (MVE) |
| Conference Information | |
| Committee | MVE |
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| Conference Date | 2017/10/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KitamiInstitute of Technology |
| 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) | Analysis of Relationship between Big Five Model based User Attributes and Camera Selecting Tendency for Multi-camera Videos |
| Sub Title (in English) | |
| Keyword(1) | Multi-view video |
| Keyword(2) | viewpoint recommendation |
| Keyword(3) | user grouping |
| Keyword(4) | soccer game |
| Keyword(5) | big five model |
| 1st Author's Name | Xueting Wang |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 2nd Author's Name | Yu Enokibori |
| 2nd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 3rd Author's Name | Takatsugu Hirayama |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Kensho Hara |
| 4th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 5th Author's Name | Kenji Mase |
| 5th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2017-10-19 |
| Paper # | MVE2017-30 |
| Volume (vol) | vol.117 |
| Number (no) | MVE-252 |
| Page | pp.pp.29-34(MVE), |
| #Pages | 6 |
| Date of Issue | 2017-10-12 (MVE) |