What Is the Role of Similarity for Known-Item Search at Video Browser Showdown?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10383340" target="_blank" >RIV/00216208:11320/18:10383340 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-02224-2_8" target="_blank" >http://dx.doi.org/10.1007/978-3-030-02224-2_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-02224-2_8" target="_blank" >10.1007/978-3-030-02224-2_8</a>
Alternative languages
Result language
angličtina
Original language name
What Is the Role of Similarity for Known-Item Search at Video Browser Showdown?
Original language description
Across many domains, machine learning approaches start to compete with human experts in tasks originally considered as very difficult for automation. However, effective retrieval of general video shots still represents an issue due to their variability, complexity and insufficiency of training sets. In addition, users can face problems trying to formulate their search intents in a given query interface. Hence, many systems still rely also on interactive human-machine cooperation to boost effectiveness of the retrieval process. In this paper, we present our experience with known-item search tasks in the Video Browser Showdown competition, where participating interactive video retrieval systems mostly rely on various similarity models. We discuss the observed difficulty of known-item search tasks, categorize employed interaction components (relying on similarity models) and inspect successful interactive known-item searches from the recent iteration of the competition. Finally, open similarity search challenges for known-item search in video are presented.
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/GA17-22224S" target="_blank" >GA17-22224S: User preference analytics in multimedia exploration models</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-030-02223-5
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
9
Pages from-to
96-104
Publisher name
Springer Verlag
Place of publication
Switzerland
Event location
Lima, Peru
Event date
Oct 7, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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