Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database
Databases
2016-11-15 v1 Computer Vision and Pattern Recognition
Abstract
This paper presents a novel relational database architecture aimed to visual objects classification and retrieval. The framework is based on the bag-of-features image representation model combined with the Support Vector Machine classification and is integrated in a Microsoft SQL Server database.
Keywords
Cite
@article{arxiv.1506.07950,
title = {Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database},
author = {Marcin Korytkowski and Rafal Scherer and Pawel Staszewski and Piotr Woldan},
journal= {arXiv preprint arXiv:1506.07950},
year = {2016}
}
Comments
2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), Gdynia, Poland, 24-26 June 2015