Flexible Content Extraction and Querying for Videos

Date

2011-10-28

Author

Demir, Utku
KOYUNCU, Murat
Yazıcı, Adnan
Yilmaz, Turgay
SERT, MUSTAFA

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

242
views

0
downloads

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.

Subject Keywords

Multimedia database, Fuzziness, Content-based retrieval, Multimedia querying

URI

https://hdl.handle.net/11511/55724

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

An intelligent multimedia information system for multimodal content extraction and querying Yazıcı, Adnan; Yilmaz, Turgay; Sattari, Saeid; SERT, MUSTAFA; Gulen, Elvan (2018-01-01) 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...
Using fuzzy Petri nets for static analysis of rule-bases Bostan-Korpeoglu, B; Yazıcı, Adnan (2004-01-01) We use a Fuzzy Petri Net (FPN) structure to represent knowledge and model the behavior in our intelligent object-oriented database environment, which integrates fuzzy, active and deductive rules with database objects. However, the behavior of a system can be unpredictable due to the rules triggering or untriggering each other (non-termination). Intermediate and final database states may also differ according to the order of rule executions (non-confluence). In order to foresee and solve problematic behavior...
Fusion of multimodal information for multimedia information retrieval Yılmaz, Turgay; Yazıcı, Adnan; Department of Computer Engineering (2014) An effective retrieval of multimedia data is based on its semantic content. In order to extract the semantic content, the nature of multimedia data should be analyzed carefully and the information contained should be used completely. Multimedia data usually has a complex structure containing multimodal information. Noise in the data, non-universality of any single modality, and performance upper bound of each modality make it hard to rely on a single modality. Thus, multimodal fusion is a practical approach...
Efficient computation of strong partial transitive-closures Toroslu, İsmail Hakkı (null; 1993-01-01) The development of efficient algorithms to process the different forms of the transitive-closure (TC) queries within the context of large database systems has recently attracted a large volume of research efforts. In this paper, we present a new algorithm suitable for processing one of these forms, the so called strong partially-instantiated, in which one of the query's argument is instantiated to a set of constants and the processing of which yields a set of tuples that draw their values form both of the q...
Flexible querying in an intelligent object-oriented database environment Koyuncu, M; Yazıcı, Adnan; George, R (2000-10-28) Many new-generation database applications demand intelligent information management necessitating efficient interactions between database gr. knowledge bases and the users. In this study we discuss evaluation of imprecise queries in an intelligent object-oriented database environment, IFOOD. A flexible query evaluation mechanism, capable of handling different data types including complex and imprecise data and knowledge is presented and key language issues are addressed.

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.