Natural language querying for video databases
| Autor: | Nihan Kesim Cicekli, Guzen Erozel, Ilyas Cicekli |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Query processing
Information Systems and Management Natural language user interface Computer science WordNet Link Parser Ontology (information science) computer.software_genre Query language Theoretical Computer Science Semantic similarity Artificial Intelligence Semantic computing Information retrieval Natural Language Querying Video databases Content-based Querying In Video Databases Database Ontology business.industry Conceptual Ontology Natural language processing systems Computer Science Applications Information extraction Data model Control and Systems Engineering Query languages Artificial intelligence User interface business Information Extraction computer Software Natural language Natural language processing |
| Zdroj: | Information Sciences |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2008.02.001 |
| Popis: | Cataloged from PDF version of article. 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 relationships between video objects and also trajectories of moving objects can be queried with this data model. In this video database system, a natural language interface enables flexible querying. The queries, which are given as English sentences, are parsed using link parser. The semantic representations of the queries are extracted from their syntactic structures using information extraction techniques. The extracted semantic representations are used to call the related parts of the underlying video database system to return the results of the queries. Not only exact matches but similar objects and activities are also returned from the database with the help of the conceptual ontology module. This module is implemented using a distance-based method of semantic similarity search on the semantic domain-independent ontology, WordNet. (C) 2008 Elsevier Inc. All rights reserved. |
| Databáze: | OpenAIRE |
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