| Presentation | 2022-03-11 Precise Affordance Annotation for Egocentric Action Video Datasets Zecheng Yu, Yifei Huang, Ryosuke Furuta, Yusuke Goutsu, Yoichi Sato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Object affordance has attracted a growing interest in computer vision. It is an important concept that builds a bridge between human ability and object property, and provides fine-grained information for other tasks like activity forecasting, scene understanding, etc. Although affordance is investigated in many previous works, existing affordance datasets failed to distinguish affordance from other concepts like action and function. In this paper, We propose an efficient affordance annotation scheme for egocentric action video datasets to address this issue, which gives a clear and accurate definition of affordance. The scheme was applied to two large-scale egocentric video datasets: EPIC-KITCHENS and HOMAGE, and tested with various benchmark tasks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | affordance / egocentric / dataset / annotation |
| Paper # | PRMU2021-81 |
| Date of Issue | 2022-03-03 (PRMU) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM |
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| Conference Date | 2022/3/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Differentiable rendering |
| Chair | Seiichi Uchida(Kyushu Univ.) |
| Vice Chair | Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.) |
| Secretary | Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.) |
| Assistant | Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Precise Affordance Annotation for Egocentric Action Video Datasets |
| Sub Title (in English) | |
| Keyword(1) | affordance |
| Keyword(2) | egocentric |
| Keyword(3) | dataset |
| Keyword(4) | annotation |
| 1st Author's Name | Zecheng Yu |
| 1st Author's Affiliation | University of Tokyo(Univ. of Tokyo) |
| 2nd Author's Name | Yifei Huang |
| 2nd Author's Affiliation | University of Tokyo(Univ. of Tokyo) |
| 3rd Author's Name | Ryosuke Furuta |
| 3rd Author's Affiliation | University of Tokyo(Univ. of Tokyo) |
| 4th Author's Name | Yusuke Goutsu |
| 4th Author's Affiliation | University of Tokyo(Univ. of Tokyo) |
| 5th Author's Name | Yoichi Sato |
| 5th Author's Affiliation | University of Tokyo(Univ. of Tokyo) |
| Date | 2022-03-11 |
| Paper # | PRMU2021-81 |
| Volume (vol) | vol.121 |
| Number (no) | PRMU-427 |
| Page | pp.pp.133-138(PRMU), |
| #Pages | 6 |
| Date of Issue | 2022-03-03 (PRMU) |