TY - GEN
T1 - Using a Dual-Camera Smartphone to Recognize Imperceptible 2D Barcodes Embedded in Videos
AU - Kakui, Yuki
AU - Araki, Kota
AU - Han, Changyo
AU - Fukushima, Shogo
AU - Naemura, Takeshi
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/10/29
Y1 - 2022/10/29
N2 - Invisible screen-camera communication is promising in that it does not interfere with the video viewing experience. In the imperceptible color vibration method, which displays two colors of the same luminance alternately at high speed for each pixel, embedded information is decoded by taking the difference between distant frames on the time axis. Therefore, the interframe differences of the original video contents affect the decoding performance. In this study, we propose a decoding method which utilizes simultaneously captured images using a dual-camera smartphone with different exposure times. This allows taking the color difference between the frames that are close to each other on the time axis. The feasibility of this approach is demonstrated through several application examples.
AB - Invisible screen-camera communication is promising in that it does not interfere with the video viewing experience. In the imperceptible color vibration method, which displays two colors of the same luminance alternately at high speed for each pixel, embedded information is decoded by taking the difference between distant frames on the time axis. Therefore, the interframe differences of the original video contents affect the decoding performance. In this study, we propose a decoding method which utilizes simultaneously captured images using a dual-camera smartphone with different exposure times. This allows taking the color difference between the frames that are close to each other on the time axis. The feasibility of this approach is demonstrated through several application examples.
UR - http://www.scopus.com/inward/record.url?scp=85141359582&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141359582&partnerID=8YFLogxK
U2 - 10.1145/3526114.3558672
DO - 10.1145/3526114.3558672
M3 - Conference contribution
AN - SCOPUS:85141359582
T3 - UIST 2022 Adjunct - Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
BT - UIST 2022 Adjunct - Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery, Inc
T2 - 35th Annual ACM Symposium on User Interface Software and Technology, UIST 2022
Y2 - 29 October 2022 through 2 November 2022
ER -