Application of Meta-learning Principles in Multimedia Indexing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F16%3A00304153" target="_blank" >RIV/68407700:21240/16:00304153 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Application of Meta-learning Principles in Multimedia Indexing

Original language description

Databases of video content traditionally rely on annotations and meta-data imported by a person, usually the uploader. This is supposedly due to a lack of an universal approach to the automated multimedia content annotation. As it may be hard or impossible to find a single classifier for all encountered combinations of different modalities or even a network of the classifiers, current interest of our research is to use meta-learning for multiple stages of the multimedia content classification. With this, we hope to handle correctly all modalities involved including their overlaps. Successively, the extracted classes will be used to build the index and later used for searching and discovery in the multimedia.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

DATESO 2016: Databases, Texts, Specifications, and Objects

ISBN

978-80-248-4031-4

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

1-11

Publisher name

Archiv VŠB-TUO

Place of publication

Ostrava

Event location

Tábor

Event date

Apr 13, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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