VISRET - A content based annotation, retrieval and visualization toolchain

Levente Kovács, Ákos Utasi, T. Szirányi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper presents a system for content-based video retrieval, with a complete toolchain for annotation, indexing, retrieval and visualization of imported data. The system contains around 20 feature descriptors, a modular infrastructure for descriptor addition and indexing, a web-based search interface and an easy-to-use query-annotation-result visualization module. The features that make this system differ from others is the support of all the steps of the retrieval chain, the modular support for standard MPEG-7 and custom descriptors, and the easy-to-use tools for query formulation and retrieval visualization. The intended use cases of the system are content- and annotation-based retrieval applications, ranging from community video portals to indexing of image, video, judicial, and other multimedia databases.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages265-276
Number of pages12
Volume5807 LNCS
DOIs
Publication statusPublished - 2009
Event11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009 - Bordeaux, France
Duration: Sep 28 2009Oct 2 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5807 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009
CountryFrance
CityBordeaux
Period9/28/0910/2/09

Fingerprint

Content based retrieval
Annotation
Retrieval
Visualization
Indexing
Descriptors
Motion Picture Experts Group standards
Query
Multimedia Databases
Video Retrieval
MPEG-7
Content-based Retrieval
Use Case
Web-based
Infrastructure
Module
Formulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kovács, L., Utasi, Á., & Szirányi, T. (2009). VISRET - A content based annotation, retrieval and visualization toolchain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5807 LNCS, pp. 265-276). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5807 LNCS). https://doi.org/10.1007/978-3-642-04697-1_25

VISRET - A content based annotation, retrieval and visualization toolchain. / Kovács, Levente; Utasi, Ákos; Szirányi, T.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5807 LNCS 2009. p. 265-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5807 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kovács, L, Utasi, Á & Szirányi, T 2009, VISRET - A content based annotation, retrieval and visualization toolchain. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5807 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5807 LNCS, pp. 265-276, 11th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2009, Bordeaux, France, 9/28/09. https://doi.org/10.1007/978-3-642-04697-1_25
Kovács L, Utasi Á, Szirányi T. VISRET - A content based annotation, retrieval and visualization toolchain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5807 LNCS. 2009. p. 265-276. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-04697-1_25
Kovács, Levente ; Utasi, Ákos ; Szirányi, T. / VISRET - A content based annotation, retrieval and visualization toolchain. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5807 LNCS 2009. pp. 265-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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