Mobile Application for Archaeological Site Image Content Retrieval and Automated Generating Image Descriptions with Neural Network

Mobile Application for Archaeological Site Image Content Retrieval and Automated Generating Image... This paper presents a novel algorithm for generating descriptions of stupa image such as stupa’s era, stupa’s architecture and other description in mobile application by using key points generated from SIFT algorithms and learning stupa description from the generated key points with artificial neural network. Neural network was used for being the classifier for generating the description. We have presented a new approach to feature extraction based on analysis of key points and descriptors of an image. The algorithms were tested with stupa image dataset in Phra Nakhon Si Ayutta province, Sukhothai province and Bangkok. The experimental results show that the proposed framework can efficiently give the correct descriptions to the stupa image compared to using the traditional method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Mobile Networks and Applications Springer Journals

Mobile Application for Archaeological Site Image Content Retrieval and Automated Generating Image Descriptions with Neural Network

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Publisher
Springer US
Copyright
Copyright © 2017 by Springer Science+Business Media New York
Subject
Engineering; Communications Engineering, Networks; Computer Communication Networks; Electrical Engineering; IT in Business
ISSN
1383-469X
eISSN
1572-8153
D.O.I.
10.1007/s11036-016-0805-6
Publisher site
See Article on Publisher Site

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