| Presentation | 2021-10-07 A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices Masahiro Yasuda, Mitsuji Muneyasu, Soh Yoshida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A data-embedding technique to printed images has been proposed. In this technique, the embedded data is retrieved from the image captured using the camera of a mobile device. Although this method is expected to be an alternative to QR Code, there are some problems, such as the data amount of embedding information and the robustness of detection. However, the evaluation of the method requires printing and capturing the embedded image in reality, which is very burdensome. In this paper, we propose a reduction method of the workload in evaluating the performance of data embedding algorithms by simulating the degradation caused by printing and capturing. This paper adopts a deep learning-based approach to reproduce the degradation using Pix2Pix, an image transformation method based on conditional Generative Adversarial Network (cGAN). In addition, we obtain the positions of the image borders and the amount of distortion in the image from the actual captured image. These data are utilized to cope with various captured conditions. Experimental results show that the proposed method can faithfully represent the detection accuracy of the embedded data and confirm the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | data embedding / simulator / Pix2Pix / Deep learning / DNN |
| Paper # | SIS2021-15 |
| Date of Issue | 2021-09-30 (SIS) |
| Conference Information | |
| Committee | SIS / ITE-BCT |
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| Conference Date | 2021/10/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
| Chair | Noriaki Suetake(Yamaguchi Univ.) / Kyoichi Saito(NHK) |
| Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) / Hidekazu Murata(Kyoto Univ.) / Hajime Saito(TV Tokyo) |
| Secretary | Tomoaki Kimura(National Inst. of Tech., Ube College) / Naoto Sasaoka(NTT) / Hidekazu Murata(NHK) / Hajime Saito(TV Asahi) |
| Assistant | Soh Yoshida(Kansai Univ.) / Yoshiaki Makabe(Kanagawa Inst. of Tech.) / Hiroshi Tsutsui(Hokkaido Univ.) / Akihiro Tanabe(NTT) / Toshimitsu Kobayashi(NBN) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems / Technical Group on Broadcasting and Communication Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices |
| Sub Title (in English) | |
| Keyword(1) | data embedding |
| Keyword(2) | simulator |
| Keyword(3) | Pix2Pix |
| Keyword(4) | Deep learning |
| Keyword(5) | DNN |
| 1st Author's Name | Masahiro Yasuda |
| 1st Author's Affiliation | Kansai University(Kansai Univ.) |
| 2nd Author's Name | Mitsuji Muneyasu |
| 2nd Author's Affiliation | Kansai University(Kansai Univ.) |
| 3rd Author's Name | Soh Yoshida |
| 3rd Author's Affiliation | Kansai University(Kansai Univ.) |
| Date | 2021-10-07 |
| Paper # | SIS2021-15 |
| Volume (vol) | vol.121 |
| Number (no) | SIS-190 |
| Page | pp.pp.29-34(SIS), |
| #Pages | 6 |
| Date of Issue | 2021-09-30 (SIS) |