| Presentation | 2018-03-18 Toward image inbetweening using Latent Model Paulino Cristovao, Yusuke Tanimura, Hidemoto Nakada, Hideki Asoh, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Image interpolation is a well known problem in computer vision. Many approaches are restricted to optical flow and convolutional neural network. In this work, we present an alternative approach based on generative models to generate in between images (interpolation) using variational autoencoders (VAE). The goals are: Gener- ate in between images using hidden structures (latent variables), and yield latent features that generalize well. Our architecture composed of three networks (VAE) that share weights. We train the network feeding three continous frames so that the second latent variables become close to the average of the first and third latent variables. To get interporated image from two images, we can just reconstract the image from the avarage of the two images’ latent variables. We evaluate the result by comparing the ground truth image and the generated one to evaluate the in between image. In addition we show the reconstructed images using the same network. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Variational Autoencoder / Machine Learning / Deep Learning |
| Paper # | BioX2017-49,PRMU2017-185 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
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| Conference Date | 2018/3/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
| Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC) |
| Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Hiroshi Takano(Shizuoka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) |
| Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Toward image inbetweening using Latent Model |
| Sub Title (in English) | |
| Keyword(1) | Variational Autoencoder |
| Keyword(2) | Machine Learning |
| Keyword(3) | Deep Learning |
| 1st Author's Name | Paulino Cristovao |
| 1st Author's Affiliation | University of Tsukuba(Univ. of Tsukuba) |
| 2nd Author's Name | Yusuke Tanimura |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 3rd Author's Name | Hidemoto Nakada |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 4th Author's Name | Hideki Asoh |
| 4th Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| Date | 2018-03-18 |
| Paper # | BioX2017-49,PRMU2017-185 |
| Volume (vol) | vol.117 |
| Number (no) | BioX-513,PRMU-514 |
| Page | pp.pp.79-84(BioX), pp.79-84(PRMU), |
| #Pages | 6 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |