Flexible Content Extraction and Querying for Videos

Demir, Utku
Yazıcı, Adnan
Yilmaz, Turgay
In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.


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This paper introduces an intelligent multimedia information system, which exploits machine learning and database technologies. The system extracts semantic contents of videos automatically by using the visual, auditory and textual modalities, then, stores the extracted contents in an appropriate format to retrieve them efficiently in subsequent requests for information. The semantic contents are extracted from these three modalities of data separately. Afterwards, the outputs from these modalities are fused...
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Citation Formats
U. Demir, M. KOYUNCU, A. Yazıcı, T. Yilmaz, and M. SERT, “Flexible Content Extraction and Querying for Videos,” 2011, vol. 7022, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55724.