In these days, we can see digital signages in many places, for example, inside stations or trains with the distribution of attractive promotional video clips. Users can easily get additional information related to such video clips via mobile devices such as smartphone by using some websites for retrieval. However, such retrieval is time-consuming and sometimes leads users to incorrect information. Therefore, it is desirable that the additional information can be directly obtained from the video clips. We implement a suitable digital watermarking method on smartphone to extract watermarks from video clips on signages in real-time. The experimental results show that the proposed method correctly extracts watermarks in a second on smartphone.
Motoi IWATA
Osaka Prefecture University
Naoyoshi MIZUSHIMA
Osaka Prefecture University
Koichi KISE
Osaka Prefecture University
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Motoi IWATA, Naoyoshi MIZUSHIMA, Koichi KISE, "Practical Watermarking Method Estimating Watermarked Region from Recaptured Videos on Smartphone" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 1, pp. 24-32, January 2017, doi: 10.1587/transinf.2016MUP0008.
Abstract: In these days, we can see digital signages in many places, for example, inside stations or trains with the distribution of attractive promotional video clips. Users can easily get additional information related to such video clips via mobile devices such as smartphone by using some websites for retrieval. However, such retrieval is time-consuming and sometimes leads users to incorrect information. Therefore, it is desirable that the additional information can be directly obtained from the video clips. We implement a suitable digital watermarking method on smartphone to extract watermarks from video clips on signages in real-time. The experimental results show that the proposed method correctly extracts watermarks in a second on smartphone.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2016MUP0008/_p
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@ARTICLE{e100-d_1_24,
author={Motoi IWATA, Naoyoshi MIZUSHIMA, Koichi KISE, },
journal={IEICE TRANSACTIONS on Information},
title={Practical Watermarking Method Estimating Watermarked Region from Recaptured Videos on Smartphone},
year={2017},
volume={E100-D},
number={1},
pages={24-32},
abstract={In these days, we can see digital signages in many places, for example, inside stations or trains with the distribution of attractive promotional video clips. Users can easily get additional information related to such video clips via mobile devices such as smartphone by using some websites for retrieval. However, such retrieval is time-consuming and sometimes leads users to incorrect information. Therefore, it is desirable that the additional information can be directly obtained from the video clips. We implement a suitable digital watermarking method on smartphone to extract watermarks from video clips on signages in real-time. The experimental results show that the proposed method correctly extracts watermarks in a second on smartphone.},
keywords={},
doi={10.1587/transinf.2016MUP0008},
ISSN={1745-1361},
month={January},}
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TY - JOUR
TI - Practical Watermarking Method Estimating Watermarked Region from Recaptured Videos on Smartphone
T2 - IEICE TRANSACTIONS on Information
SP - 24
EP - 32
AU - Motoi IWATA
AU - Naoyoshi MIZUSHIMA
AU - Koichi KISE
PY - 2017
DO - 10.1587/transinf.2016MUP0008
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2017
AB - In these days, we can see digital signages in many places, for example, inside stations or trains with the distribution of attractive promotional video clips. Users can easily get additional information related to such video clips via mobile devices such as smartphone by using some websites for retrieval. However, such retrieval is time-consuming and sometimes leads users to incorrect information. Therefore, it is desirable that the additional information can be directly obtained from the video clips. We implement a suitable digital watermarking method on smartphone to extract watermarks from video clips on signages in real-time. The experimental results show that the proposed method correctly extracts watermarks in a second on smartphone.
ER -