Browsing by Author "Sert,M."

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    Citation - Scopus: 3
    Flexible Content Extraction and Querying for Videos
    (2011) Demir,U.; Koyuncu,M.; Yazici,A.; Yilmaz,T.; Sert,M.
    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. © 2011 Springer-Verlag.
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    Citation - Scopus: 1
    Metu-Mmds: an Intelligent Multimedia Database System for Multimodal Content Extraction and Querying
    (Springer Verlag, 2016) Yazici,A.; Sattari,S.; Yilmaz,T.; Sert,M.; Koyuncu,M.; Gulen,E.
    Managing a large volume of multimedia data, which contain various modalities (visual, audio, and text), reveals the need for a specialized multimedia database system (MMDS) to efficiently model, process, store and retrieve video shots based on their semantic content. This demo introduces METU-MMDS, an intelligent MMDS which employs both machine learning and database techniques. The system extracts semantic content automatically by using visual, audio and textual data, stores the extracted content in an appropriate format and uses this content to efficiently retrieve video shots. The system architecture supports various multimedia query types including unimodal querying, multimodal querying, query-by-concept, query-by-example, and utilizes a multimedia index structure for efficiently querying multi-dimensional multimedia data. We demonstrate METU-MMDS for semantic data extraction from videos and complex multimedia querying by considering content and concept-based queries containing all modalities. © Springer International Publishing Switzerland 2016.