A FUZZY CONCEPTUAL MODEL FOR MULTIMEDIA DATA WITH A TEXT-BASED AUTOMATIC ANNOTATION SCHEME

2009-08-01
Kucuk, Dilek
Burcuozgur, N.
Yazıcı, Adnan
KOYUNCU, Murat
The size of multimedia data is increasing fast due to the abundance of multimedia applications. Modeling the semantics of the data effectively is crucial for proper management of it. In this paper, we present a fuzzy conceptual data model for multimedia data which is also generic in the sense that it can be adapted to all multimedia domains. The model takes an object-oriented approach and it handles fuzziness at different representation levels where fuzziness is inherent in multimedia applications and should be properly modeled. The proposed model also has the nice feature of representing the structural hierarchy of multimedia data as well as the spatial and temporal relations of the data. The model is applied to the news video domain and implemented as a fuzzy multimedia database system where it turns out to be effective in representing the domain and thereby provides an evidence for the general applicability of the model. The model is accompanied by an automatic multimedia annotation scheme which makes use of information extraction techniques on the corresponding multimedia texts.
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS

Suggestions

A unification model and tool support for software functional size measurement methods
Efe, Pınar; Demirörs, Onur; Department of Information Systems (2006)
Software size estimation/measurement has been the objective of a lot of research in the software engineering community due to the need of reliable size estimates. FSM Methods have become widely used in software project management to measure the functional size of software since its first publication, late 1970s. Although all FSM methods measure the functional size by quantifying the FURs, each method defined its own measurement process and metric. Therefore, a piece of software has several functional sizes ...
A fuzzy Petri net model for intelligent databases
Bostan-Korpeoglu, Burcin; Yazıcı, Adnan (Elsevier BV, 2007-08-01)
Knowledge intensive applications require an intelligent environment, which can perform deductions in response to user queries or events that occur inside or outside of the applications. For that, we propose a fuzzy Petri net (FPN) model to represent knowledge and the behavior of an intelligent object-oriented database environment, which integrates fuzzy, active and deductive rules with database objects. The behavior of a system can be unpredictable due to the rules triggering or untriggering each other (non...
Natural language querying for video databases
Erozel, Guzen; Çiçekli, Fehime Nihan; Cicekli, Ilyas (Elsevier BV, 2008-06-15)
The video databases have become popular in various areas due to the recent advances in technology. Video archive systems need user-friendly interfaces to retrieve video frames. In this paper, a user interface based on natural language processing (NLP) to a video database system is described. The video database is based on a content-based spatio-temporal video data model. The data model is focused on the semantic content which includes objects, activities, and spatial properties of objects. Spatio-temporal r...
A machine learning approach to two-voice counterpoint composition
Adiloglu, Kamil; Alpaslan, Ferda Nur (Elsevier BV, 2007-04-01)
Algorithmic composition of musical pieces is one of the most popular areas of computer aided music research. Various attempts have been made successfully in the area of music composition. Artificial intelligence methods have been extensively applied in this area. Representation of musical pieces in a computer-understand able form plays an important role in computer aided music research.
AN ADAPTIVE HYBRID ARQ SCHEME FOR SLOWLY TIME-VARYING COMMUNICATION CHANNELS
MEMISOGLU, AT; BILGEN, S (1994-04-14)
An adaptive hybrid ARQ scheme for slowly timevarying channels that aims to maximize the average throughput under a given reliability constraint is presented. Punctured convolutional codes and the Viterbi algorithm with the Yamemoto-Itoh retransmission protocol are employed for encoding and decoding, respectively. A procedure based on exponentially weighted moving averages is developed to detect channel state changes
Citation Formats
D. Kucuk, N. Burcuozgur, A. Yazıcı, and M. KOYUNCU, “A FUZZY CONCEPTUAL MODEL FOR MULTIMEDIA DATA WITH A TEXT-BASED AUTOMATIC ANNOTATION SCHEME,” INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, pp. 135–152, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36940.