D 2010

Visual Video Retrieval System Using MPEG-7 Descriptors

ZAVŘEL, Vojtěch, Michal BATKO and Pavel ZEZULA

Basic information

Original name

Visual Video Retrieval System Using MPEG-7 Descriptors

Name in Czech

Systém pro vyhledávání videí na základě visuální podobnosti definované pomocí MPEG-7 deskriptorů

Authors

ZAVŘEL, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic)

Edition

New York, 3rd International Conference on Similarity Search and Applications, p. 125-126, 2 pp. 2010

Publisher

ACM Press

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Turkey

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

RIV identification code

RIV/00216224:14330/10:00044843

Organization unit

Faculty of Informatics

ISBN

978-1-4503-0420-7

Keywords in English

video retrieval system; content-based searching; metric space; Multi-feature Indexing Network

Tags

Tags

International impact, Reviewed
Změněno: 3/4/2013 16:26, RNDr. Michal Batko, Ph.D.

Abstract

V originále

Visual Video Retrieval System allows users search according visual similarity in a collection of indexed videos. The system is build upon Multi Feature Indexing Network. Only the visual part of multimedia video (represented by keyframes) is indexed. User is able to search by example or use iterative search.

Links

GA201/09/0683, research and development project
Name: Vyhledávání v rozsáhlých multimediálních databázích
Investor: Czech Science Foundation, Similarity Searching in Very Large Multimedia Databases
GP201/08/P507, research and development project
Name: Komplexní podobnostní dotazy nad rozsáhlými objemy dat
Investor: Czech Science Foundation, Complex similarity searching in very large data collections