Multimodal video database modeling, querying and browsing

Date

2005-01-01

Author

Durak, N
Yazıcı, Adnan

Metadata

Show full item record

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

Item Usage Stats

170
views

0
downloads

In this paper, a multimodal video indexing and retrieval system, MMVIRS, is presented. MMVIRS models the auditory, visual, and textual sources of video collections from a semantic perspective. Besides multimodality, our model is constituted on semantic hierarchies that enable us to access the video from different semantic levels. MMVIRS has been implemented with data annotation, querying and browsing parts. In the annotation part, metadata information and video semantics are extracted in hierarchical ways. In the querying part, semantic queries, spatial queries, regional queries, spatio-temporal queries, and temporal queries have been processed over video collections using the proposed model. In the browsing parts, video collections are navigated using category information, visual and auditory hierarchies.

Subject Keywords

Implementation, Search, System

URI

https://hdl.handle.net/11511/62669

Journal

COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Multi-objective decision making using fuzzy discrete event systems: A mobile robot example Boutalis, Yiannis; Schmidt, Klaus Verner (2010-09-29) In this paper, we propose an approach for the multi-objective control of sampled data systems that can be modeled as fuzzy discrete event systems (FDES). In our work, the choice of a fuzzy system representation is justified by the assumption of a controller realization that depends on various potentially imprecise sensor measurements. Our approach consists of three basic steps that are performed in each sampling instant. First, the current fuzzy state of the system is determined by a sensor evaluation. Seco...
Hierarchical and decentralized multitasking control of discrete event systems Schmidt, Klaus Verner; Cury, José E. R. (2007-12-01) In this paper, a hierarchical and decentralized approach for composite discrete-event systems (DES) that have to fulfill multiple tasks is elaborated. Colored marking generators that can distinguish classes of tasks are used as the system model, and a colored abstraction procedure as well as sufficient conditions for nonblocking and hierarchically consistent control are developed. It is shown that the computational complexity for supervisor computation is reduced. A flexible manufacturing system example dem...
Similarity search in protein sequence databases using metric access methods Cetintas, Ahmet; Sacan, Ahmet; Toroslu, İsmail Hakkı (2013-09-13) The rapid increase in the size of biological sequence data owing to the advancements in high-throughput sequencing techniques, and the increased complexity of hypothesis-driven exploration of this data requiring massive number of similarity queries call for new approaches for managing sequence databases and analysis of this information. The metric space representation for sequences is suitable for similarity search and provides several sophisticated metric-indexing techniques. In this work, we provide a tho...
Representing temporal knowledge in connectionist expert systems Alpaslan, Ferda Nur (1996-09-27) This paper introduces a new temporal neural networks model which can be used in connectionist expert systems. Also, a Variation of backpropagation algorithm, called the temporal feedforward backpropagation algorithm is introduced as a method for training the neural network. The algorithm was tested using training examples extracted from a medical expert system. A series of experiments were carried out using the temporal model and the temporal backpropagation algorithm. The experiments indicated that the alg...
Parallel linear solution of large structures on heterogeneous PC clusters Kurç, Özgür (2006-12-01) In this paper, a parallel solution framework for the linear static analysis of large structures on heterogeneous PC clusters is presented. The framework consists of two main steps; data preparation and parallel solution. The parallel solution is performed by a substructure based method with direct solvers. The aim of the data preparation step is to create the best possible substructures so that the condensation times of substructures are balanced. Examples which illustrate the applicability and the efficien...

Citation Formats

N. Durak and A. Yazıcı, “Multimodal video database modeling, querying and browsing,” COMPUTER AND INFORMATION SCIENCES - ISCIS 2005, PROCEEDINGS, pp. 802–812, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62669.