Home > Research > Publications & Outputs > Automatic mobile photographer and picture diary

Keywords

View graph of relations

Automatic mobile photographer and picture diary

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Automatic mobile photographer and picture diary. / Angelov, Plamen; Andreu, Javier; Vong, Tu.

Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, 2012. p. 102-107.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Angelov, P, Andreu, J & Vong, T 2012, Automatic mobile photographer and picture diary. in Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, pp. 102-107. https://doi.org/10.1109/EAIS.2012.6232813

APA

Angelov, P., Andreu, J., & Vong, T. (2012). Automatic mobile photographer and picture diary. In Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on (pp. 102-107). IEEE. https://doi.org/10.1109/EAIS.2012.6232813

Vancouver

Angelov P, Andreu J, Vong T. Automatic mobile photographer and picture diary. In Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE. 2012. p. 102-107 https://doi.org/10.1109/EAIS.2012.6232813

Author

Angelov, Plamen ; Andreu, Javier ; Vong, Tu. / Automatic mobile photographer and picture diary. Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on. IEEE, 2012. pp. 102-107

Bibtex

@inproceedings{af8cc4978ae44f30a8be5ad45679aa15,
title = "Automatic mobile photographer and picture diary",
abstract = "In this paper a novel application concerning smart phones is introduced which makes use of the recently introduced autonomous approach for visual landmarks identification based on video input. The problem of recognizing new or pre-defined features in a video stream surfaced a long time ago. Many workable solutions have been proposed and implemented but few can work in an embedded mobile device with sustainable quality. Either they are too slow or very computational costly. Embedded devices such as smart mobile phones have a limited and not scalable amount of resources. Some important aspects to consider when coding a mobile application are processing power, memory and energy in a great extent. This paper describes a novel recursive (and thus fast) method of automatic landmark recognition that is applied to such smart mobile devices. The application uses the inbuilt camera to retrieve information about the external context. This information is used as input of an evolving algorithm that is embedded and runs on the mobile device.",
keywords = "Mobile, video, diary",
author = "Plamen Angelov and Javier Andreu and Tu Vong",
year = "2012",
month = may,
doi = "10.1109/EAIS.2012.6232813",
language = "English",
isbn = "978-1-4673-1728-3",
pages = "102--107",
booktitle = "Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Automatic mobile photographer and picture diary

AU - Angelov, Plamen

AU - Andreu, Javier

AU - Vong, Tu

PY - 2012/5

Y1 - 2012/5

N2 - In this paper a novel application concerning smart phones is introduced which makes use of the recently introduced autonomous approach for visual landmarks identification based on video input. The problem of recognizing new or pre-defined features in a video stream surfaced a long time ago. Many workable solutions have been proposed and implemented but few can work in an embedded mobile device with sustainable quality. Either they are too slow or very computational costly. Embedded devices such as smart mobile phones have a limited and not scalable amount of resources. Some important aspects to consider when coding a mobile application are processing power, memory and energy in a great extent. This paper describes a novel recursive (and thus fast) method of automatic landmark recognition that is applied to such smart mobile devices. The application uses the inbuilt camera to retrieve information about the external context. This information is used as input of an evolving algorithm that is embedded and runs on the mobile device.

AB - In this paper a novel application concerning smart phones is introduced which makes use of the recently introduced autonomous approach for visual landmarks identification based on video input. The problem of recognizing new or pre-defined features in a video stream surfaced a long time ago. Many workable solutions have been proposed and implemented but few can work in an embedded mobile device with sustainable quality. Either they are too slow or very computational costly. Embedded devices such as smart mobile phones have a limited and not scalable amount of resources. Some important aspects to consider when coding a mobile application are processing power, memory and energy in a great extent. This paper describes a novel recursive (and thus fast) method of automatic landmark recognition that is applied to such smart mobile devices. The application uses the inbuilt camera to retrieve information about the external context. This information is used as input of an evolving algorithm that is embedded and runs on the mobile device.

KW - Mobile

KW - video

KW - diary

U2 - 10.1109/EAIS.2012.6232813

DO - 10.1109/EAIS.2012.6232813

M3 - Conference contribution/Paper

SN - 978-1-4673-1728-3

SP - 102

EP - 107

BT - Evolving and Adaptive Intelligent Systems (EAIS), 2012 IEEE Conference on

PB - IEEE

ER -