Visual Descriptors in Methods for Video Hyperlinking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10372146" target="_blank" >RIV/00216208:11320/17:10372146 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/17:00312157 RIV/00216224:14330/17:00095298
Result on the web
<a href="https://doi.org/10.1145/3078971.3079026" target="_blank" >https://doi.org/10.1145/3078971.3079026</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3078971.3079026" target="_blank" >10.1145/3078971.3079026</a>
Alternative languages
Result language
angličtina
Original language name
Visual Descriptors in Methods for Video Hyperlinking
Original language description
In this paper, we survey different state-of-the-art visual processing methods and utilize them in hyperlinking. Visual information, calculated using Features Signatures, SIMILE descriptors and convolutional neural networks (CNN), is utilized as similarity between video frames and used to find similar faces, objects and setting. Visual concepts in frames are also automatically recognized and textual output of the recognition is combined with search based on subtitles and transcripts. All presented experiments were performed in the Search and Hyperlinking 2014 MediaEval task and Video Hyperlinking 2015 TRECVid task.
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/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
ISBN
978-1-4503-4701-3
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
294-300
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Bucharest, Romania
Event date
Jun 6, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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