@inproceedings{fef252c6115342c5b615695027cf2f82,
title = "Structural and event based multimodal video data modeling",
abstract = "In this paper, a structural and event based multimodal video data model (SEBM) is proposed. SEBM supports three different modalities that are visual, auditory and textual modalities for video database systems and it can dissolve these three modalities within a single structure. This dissolving procedure is a mimic of human interpretation regarding video data. The SEBM video data model is used to answer content-based, spatio-temporal and fuzzy queries about video data. A SEBM prototype system is developed to evaluate the practical usage of the SEBM video data model when storing and querying the video data.",
author = "Hakan {\"O}ztarak and Adnan Yazici",
year = "2006",
doi = "10.1007/11890393_28",
language = "English",
isbn = "3540462910",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "264--273",
booktitle = "Advances in Information Systems - 4th International Conference, ADVIS 2006, Proceedings",
address = "Germany",
note = "4th International Conference on Advances in Information Systems, ADVIS 2006 ; Conference date: 18-10-2006 Through 20-10-2006",
}