Dynamic and invisible messaging for visual MIMO

Yuan, Wenjia; Dana, Kristin; Ashok, Ashwin; Gruteser, Marco; Mandayam, Narayan B.

doi:10.1109/wacv.2012.6162992

Cited by 46 publications

(34 citation statements)

References 20 publications

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“…Methods for efficient geometrical correction in mobile devices with limited computing power include ones that use [7,8] and do not use [9,10] visible marks. Visible marks such as frame borders in a watermarked image can help with geometrical correction of the camera image.…”

Section: Conventional Methodsmentioning

confidence: 99%

A method for detecting watermarks in print using smart phone

Yamada

Kamitani

2013

Proceedings of the 5th Workshop on Mobile Video

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A method has been developed for detecting watermarks using a smartphone. A smartphone with a reader application based on this method and held over a watermarked printed image can detect a watermark in the image and use it to obtain corresponding product information. To reduce the computational complexity of a full search for each possible geometrical correction of the image, the locations where watermarks are not embedded are determined in advance. Image quality is maintained by not embedding watermarks for calibration purposes. System testing demonstrated that the developed method is practical to some degree under the constraint that the camera must be positioned within a restricted search range with respect to the printed image.

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Section: Conventional Methodsmentioning

confidence: 99%

A method for detecting watermarks in print using smart phone

Yamada

Kamitani

2013

Proceedings of the 5th Workshop on Mobile Video

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“…The (5). To search the most minimum, these four minimum Euclidean distances are denoted by variables 1 2 3 4 , , , z z z z respectively.…”

Section: Think Of [ ]mentioning

confidence: 99%

“…Fig. 1 shows that using the block error rate (identifying the data blocks wrong if arbitrary layer data occur misjudgment) to measure the overall performance of the double-layer OCC system, although the performance of quaternary ML detection scheme is slightly worse compared with binary ML detection, but it can still achieve the block error rate performance of 5 …”

Section: Simulation and Analysismentioning

confidence: 99%

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M-ary Double-layer Optical Camera Communication For Intelligent Transport System

Li¹,

Luo-kun²

2016

Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

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Abstract. An M-ary double-layer optical camera communication (OCC) system for intelligent transport system (ITS) is proposed. According to the importance of information, the message is split into different priorities. The low-priority data is transmitted with high data rate at the upper layer in high multiplexing mode, whereas the high-priority data is transmitted with high robustness at the lower layer using high diversity scheme. In order to fully utilize the resources of the lower layer which usually occupies more power, the M-ary modulation is introduced into the lower layer signal. Combined with system model, the message can be detected by using a low-complexity ML detection algorithm. Finally, computer simulations verified the system feasibility. With reliable and low-complexity detection, the data rate of the lower layer obtained exponentially enhancement.

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“…LCDs and cameras can be seen everywhere in todays environment, both in stand-alone form and mounted in laptops, smartphones and other mobile appliances. Recently, great attention has been paid to LCD-camera pair communication, such as Visual MIMO [13], PixNet [3], VRCodes [11]. COBRA [5] is a specified smartphone application for overcoming the limited energy/computing resource constraint.…”

Section: Introductionmentioning

confidence: 99%

MLCS: Face-to-face mobile-LCD communication system based on visible light communication

Pan

Long

2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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Given the explosive growth of cameras and LCDs in todays society, cameras get easy access to nearby LCDs and could be utilized for communication access based on visible light communication (V LC). However, there is still no prototype to implement two-way communications. Main challenge lies in the reflection noise since two screens of LCD and/or smartphone are in face-to-face position for two-way communications. In this paper, we advance a step for developing MLCS, a faceto-face mobile-LCD communication system using off-the-shelf camera-mounted LCD and smartphone. More specifically, we propose ADIC, an ADjacent Image Calibration approach to eliminate the reflection noise. ADIC exploits our experimental observation that black-screen image can capture the main reflection noise. To increase the throughput, ADIC presents an adaptive black-screen image calibration method based on the feedback information for characterizing the reflection index of received image. Our approach is evaluated through extensive experiments on smartphone and laptop.

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Dynamic and invisible messaging for visual MIMO

Abstract: The growing ubiquity of cameras in hand-held

Cited by 46 publications

References 20 publications

A method for detecting watermarks in print using smart phone

A method for detecting watermarks in print using smart phone

M-ary Double-layer Optical Camera Communication For Intelligent Transport System

MLCS: Face-to-face mobile-LCD communication system based on visible light communication

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