Project - Ypopsei: Hybrid content recognition from bitmap images

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Ypopsei: Hybrid content recognition from bitmap images

Start date: 06-07-2018
End date: 08-07-2019
Funded by: OP Human Resources Development, Education and Lifelong Learning, ESPA 2014-2020, Call EBD34
Project leader: Anestis Koutsoudis
Website: http://www.ipet.gr/~akoutsou/ypopsei/
 
The Ypopsei project proposes the development of innovative hybrid object/place recognition methods from bitmap images using state-of-the-art machine learning approaches; Bag-of-Visual Words and Convolutional Neural Networks. In particular, within the framework the project tuning of hyperparameter is performed in order to define the optimum ones based on objectively quantifying and measuring the classification accuracy. Ultimately, the best performing in terms of accuracy hybrid method will be integrated in a pilot application that will be used within the cultural heritage domain. More specifically, the project’s case study is the Folklore Museum of Xanthi, where a personalized content-enriched tour will be offered using the visitor’s mobile phone to capture an image of an exhibit and content provision referring to the specific exhibit.  
 
 
 
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