Vol.7, No.1, February 2018.                                                                                                                                                                     ISSN: 2217-8309

                                                                                                                                                                                                                eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

An Attempt at Automatic Label Generation for Object Entry and Exit on Multimedia with a Semantic Search


Oğuzhan Menemencioğlu, İlhami Muharrem Orak


© 2018 Oğuzhan Menemencioğlu et al, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 7, Issue 1, Pages 25-32, ISSN 2217-8309, DOI: 10.18421/TEM71-04, February 2018.


Received: 14 November 2017
Accepted: 18 January 2018
Published: 23 February 2018




Filling the semantic gap between low level keywords which are retrieved automatically from multimedia data and human interpretations of data becomes critical. The research aims to handle the issue by using semantic search on multimedia data. A model is proposed with this research which detects enter/exit points and performs automatic label generation instead of hand using labelling. The model is implemented on a popular and commonly used benchmarking dataset. After the reliability of the model is proofed, it is implemented on a test dataset. It is indicated that the multiple interpretation of results can improve the retrieved information and make the model usability possible.


Keywords – Semantic search, multimedia, SPARQL, enter/exit point, annotation generation.



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