Known-Item Search in Video Databases with Textual Queries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10327995" target="_blank" >RIV/00216208:11320/16:10327995 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-46759-7_9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-46759-7_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-46759-7_9" target="_blank" >10.1007/978-3-319-46759-7_9</a>

Result language

angličtina

Original language name

Known-Item Search in Video Databases with Textual Queries

Original language description

In this paper, we present two approaches for known-item search in video databases with textual queries. In the first approach, we require the database objects to be labeled with an arbitrary ImageNet classification model. During the search, the set of query words is expanded with synonyms and hypernyms until we encounter words present in the database which are consequently searched for. In the second approach, we delegate the query to an independent database such as Google Images and let the user pick a suitable result for query-by-example search. Furthermore, the effectiveness of the proposed approaches is evaluated in a user study.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Article name in the collection

Similarity Search and Applications

ISBN

978-3-319-46758-0

ISSN

0302-9743

e-ISSN

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Number of pages

8

Pages from-to

117-124

Publisher name

Springer International Publishing

Place of publication

Switzerland

Event location

Tokyo

Event date

Oct 24, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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