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1,042 results on '"Camera phone"'

1. Mobile Film Festival Africa and Postcolonial Activism.

Author

Weaver-Hightower, Rebecca

Subjects
FREEDOM of expression, POLITICAL development, FILM festivals, NEOCOLONIALISM, POSTCOLONIALISM
Abstract

This paper enters into a debate of how new and potentially more accessible technologies might affect freedom of expression for heretofore disenfranchised peoples and postcolonial social and political development. This essay examines short films produced on camera phones by amateur African filmmakers for one of the many existent mobile phone film festivals: Mobile Film Festival Africa held in 2021. Mobile Film Festival, an annual and international festival of short-length movies, was founded in 2005 based on the principle "1 Mobile, 1 Minute, 1 Film". Because of the highly destructive mining in Africa required to obtain the minerals necessary for mobile phone production, because of the Western narratives of progress mobile phone sales build upon, and because of the fact that mobile phones are instruments of capitalism that largely feed big Western countries, mobile phones are themselves tools of neocolonialism and digital colonialism. Thus, a film festival that markets itself as a means of social progress but that relies upon mobile phones in Africa provides an interesting and quite complicated case study. Two of the award-winning films from this festival recognize in different ways the complicated relationship between mobile phones and postcolonial activism. [ABSTRACT FROM AUTHOR]

Published
2023
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3. DENOISING QR CODE FOR RECOGNITION OF MOBILE CAMERA CAPTURED IMAGES.

Author

HARIPRIYA, S., SRISUMA, T., ANILKUMAR, Y., MANOJKUMAR, T., and AZEEZ, SHAIK

Subjects
TWO-dimensional bar codes, IMAGE processing, CAMERA phones, CELL phones, CAMERAS
Abstract

QR code verification is commonly used in many business applications. Every image which comes into scanner for classification, contains data about the item to which it is tagged. Standardized QR code symbols can store more data both vertically and horizontally. All the QR codes appear to be comparable in appearance, while all encoded code has different data. The accessibility of phones with computerized camera gives users a portable platform for unleashing the standard tag, rather than using a specialized scanner, as the conventional scanners have several limitations. The purpose of this article is to remove noise added to the QR code images captured by mobile phones using image processing techniques. After removing the noise the image can be used for recognizing the data associated with the QR code. The proposed methodology was tested in MATLAB and the results are presented. [ABSTRACT FROM AUTHOR]

Published
2021
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6. Networked Neural Systems

Author

Spaanenburg, L., Jansen, W. J., Elitzur, Avshalom C., Series editor, Mersini-Houghton, Laura, Series editor, Padmanabhan, T., Series editor, Schlosshauer, Maximilian, Series editor, Silverman, Mark P., Series editor, Tuszynski, Jack A., Series editor, Vaas, Rüdiger, Series editor, and Höfflinger, Bernd, editor

Published
2016
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16. What Color? A Real-time Color Identification Mobile Application for Visually Impaired People

Author

Al-Doweesh, Sara A., Al-Hamed, Felwah A., Al-Khalifa, Hend S., Junqueira Barbosa, Simone Diniz, editor, Chen, Phoebe, editor, Cuzzocrea, Alfredo, editor, Du, Xiaoyong, editor, Filipe, Joaquim, editor, Kara, Orhun, editor, Kotenko, Igor, editor, Sivalingam, Krishna M., editor, Ślęzak, Dominik, editor, Washio, Takashi, editor, Yang, Xiaokang, editor, and Stephanidis, Constantine, editor

Published
2014
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30. Crowd-sourcing structure-from- motion data for terrain modelling in a real-world disaster scenario: A proof of concept.

Author

Anderson, Karen, Westoby, Matthew J, James, Mike R, Ratner, JJ, Sury, JJ, James, MR, Mather, TA, and Pyle, DM

Subjects
*CROWDSOURCING, *RELIEF models, *DIGITAL elevation models, *LIDAR, *EMERGENCY management
Abstract

Structure-from-motion (SfM) photogrammetry techniques are now widely available to generate digital terrain models (DTMs) from optical imagery, providing an alternative to costlier options such as LiDAR or satellite surveys. SfM could be a useful tool in hazard studies because its minimal cost makes it accessible even in developing regions and its speed of use can provide updated data rapidly in hazard-prone regions. Our study is designed to assess whether crowd-sourced SfM data is comparable to an industry standard LiDAR dataset, demonstrating potential real-world use of SfM if employed for disaster risk reduction purposes. Three groups with variable SfM knowledge utilized 16 different camera models, including four camera phones, to collect 1001 total photos in one hour of data collection. Datasets collected by each group were processed using VisualSFM, and the point densities, accuracies and distributions of points in the resultant point clouds (DTM skeletons) were compared. Our results show that the point clouds are resilient to inconsistency in users' SfM knowledge: crowd-sourced data collected by a moderately informed general public yields topography results comparable in data density and accuracy to those produced with data collected by highly-informed SfM users or experts using LiDAR. This means that in a real-world scenario involving participants with a diverse range of expertise, topography models could be produced from crowd-sourced data quite rapidly and to a very high standard. This could be beneficial to disaster risk reduction as a relatively quick, simple and low-cost method to attain rapidly updated knowledge of terrain attributes, useful for the prediction and mitigation of many natural hazards. [ABSTRACT FROM AUTHOR]

Published
2019
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32. A Directed Graphical Model for Linear Barcode Scanning from Blurred Images

Author

Chen, Ling, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lee, Kyoung Mu, editor, Matsushita, Yasuyuki, editor, Rehg, James M., editor, and Hu, Zhanyi, editor

Published
2013
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36. Exposure Stacks of Live Scenes with Hand-Held Cameras

Author

Hu, Jun, Gallo, Orazio, Pulli, Kari, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fitzgibbon, Andrew, editor, Lazebnik, Svetlana, editor, Perona, Pietro, editor, Sato, Yoichi, editor, and Schmid, Cordelia, editor

Published
2012
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37. Mobile Vision as Assistive Technology for the Blind: An Experimental Study

Author

Manduchi, Roberto, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Miesenberger, Klaus, editor, Karshmer, Arthur, editor, Penaz, Petr, editor, and Zagler, Wolfgang, editor

Published
2012
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38. Text Enhancement by PDE’s Based Methods

Author

Mahani, Zouhir, Zahid, Jalal, Saoud, Sahar, El Rhabi, Mohammed, Hakim, Abdelilah, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Elmoataz, Abderrahim, editor, Mammass, Driss, editor, Lezoray, Olivier, editor, Nouboud, Fathallah, editor, and Aboutajdine, Driss, editor

Published
2012
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39. PaperUI

Author

Liu, Qiong, Liao, Chunyuan, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Iwamura, Masakazu, editor, and Shafait, Faisal, editor

Published
2012
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41. Introduction

Author

von Pape, Thilo, Martin, Corinne, Martin, Corinne, editor, and von Pape, Thilo, editor

Published
2012
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44. Liquid testing with your smartphone

Author

Shichao Yue and Dina Katabi

Subjects
Focus (computing), Measure (data warehouse), Ubiquitous computing, General Computer Science, Computer science, Real-time computing, Water contamination, Mobile apps, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Camera phone, Surface tension, 0103 physical sciences, Leverage (statistics), 010306 general physics, 0210 nano-technology, Protein concentration
Abstract

Surface tension is an important property of liquids. It has diverse uses such as testing water contamination, measuring alcohol concentration in drinks, and identifying the presence of protein in urine to detect the onset of kidney failure. Today, measurements of surface tension are done in a lab environment using costly instruments, making it hard to leverage this property in ubiquitous applications. In contrast, we show how to measure surface tension using only a smartphone. We introduce a new algorithm that uses the small waves on the liquid surface as a series of lenses that focus light and generate a characteristic pattern. We then use the phone camera to capture this pattern and measure the surface tension. Our approach is simple, accurate, and available to anyone with a smartphone. Empirical evaluations show that our mobile app can detect water contamination and measure alcohol concentration. Furthermore, it can track protein concentration in the urine, providing an initial at-home test for proteinuria, a dangerous complication that can lead to kidney failure.

Published
2021

45. The Design of Augmented Reality Using Unity 3D Image Marker Detection for Smart Bus Transportation

Author

Ahmad Syafiq Aiman A Bakar and Murizah Kassim

Subjects
Computer Networks and Communications, business.industry, Computer science, mobile application, Real-time computing, Animation, unity 3d, TK5101-6720, augmented reality, Computer Science Applications, Camera phone, Interactivity, 3d image, MOST Bus, Public transport, Telecommunication, Augmented reality, Android (operating system), business, image marker, smart bus transportation
Abstract

Public bus transportation has become an integral part of society, but the disrup-tion of bus services is one of the major concerns. This project presents the devel-opment of Smart Bus Transportation using Augmented Reality (TRANSPAR) that was developed on a mobile application. One of the major issues with public transportation is on real-time responsiveness. Most bus schedules are presented online but customers still faced many failures. Some bus schedules are not updat-ed when changes happened through time. Some existing bus schedules system is fixed to the bus stations. This research is to identify the bus schedules and its routes characteristics. A 3D AR animation based on identified characteristics was designed using the Unity 3D image marker detection on a mobile Android plat-form. A smartphone application was developed using Vuforia and Google Fire-base. TRANSPAR shows an AR mobile application for acquiring the bus time-tables. The phone camera is applied for marker image detection and scanning the bus station’s images. AR and normal image scanner were designed. Google Fire-base Database is used to retrieve and store each timetable data for every bus sta-tion. Analysis of interactivity and benefits of TRANSPAR shows about 90% agreed on the use of AR and more than 76% agreed on its functionality based on 50 taken samples. This shows a positive impact on the designed TRANSPAR. The research is significant to encourage and experience the public with new tech-nological application for public transportation and it impact the society.

Published
2021

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