Video Search with Collage Queries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10433617" target="_blank" >RIV/00216208:11320/21:10433617 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-67835-7_40" target="_blank" >https://doi.org/10.1007/978-3-030-67835-7_40</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-67835-7_40" target="_blank" >10.1007/978-3-030-67835-7_40</a>
Alternative languages
Result language
angličtina
Original language name
Video Search with Collage Queries
Original language description
Nowadays, popular web search portals enable users to find available images corresponding to a provided free-form text description. With such sources of example images, a suitable composition/collage of images can be constructed as an appropriate visual query input to a known-item search system. In this paper, we investigate a querying approach enabling users to search videos with a multi-query consisting of positioned example images, so-called collage query, depicting expected objects in a searched scene. The approach relies on images from external search engines, partitioning of preselected representative video frames, relevance scoring based on deep features extracted from images/frames, and is currently integrated into the open-source version of the SOMHunter system providing additional browsing capabilities.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
<a href="/en/project/GJ19-22071Y" target="_blank" >GJ19-22071Y: Flexible models for known-item search in large video collections</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MMM 2021: MultiMedia Modeling
ISBN
978-3-030-67835-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
429-434
Publisher name
Springer
Place of publication
Cham
Event location
Prague, Czech Republic (virtual)
Event date
Jun 22, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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