Flexible Content Extraction and Querying for Videos

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Date

2011

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Publisher

Springer-verlag Berlin

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Information Systems Engineering
Information Systems is an academic and professional discipline which follows data collection, utilization, storage, distribution, processing and management processes and modern technologies used in this field. Our department implements a pioneering and innovative education program that aims to raise the manpower, able to meet the changing and developing needs and expectations of our country and the world. Our courses on current information technologies especially stand out.

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Abstract

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.

Description

Koyuncu, Murat/0000-0003-1958-5945; YAZICI, Adnan/0000-0001-9404-9494; SERT, Mustafa/0000-0002-7056-4245

Keywords

Multimedia database, fuzziness, content-based retrieval, multimedia querying

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Citation

3

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N/A

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Q3

Source

9th International Conference on Flexible Query Answering Systems (FQAS 2011) -- OCT 26-28, 2011 -- Ghent, BELGIUM

Volume

7022

Issue

Start Page

460

End Page

+

URI

https://hdl.handle.net/20.500.14411/8543

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