Open Challenges of Interactive Video Search and Evaluation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10449374" target="_blank" >RIV/00216208:11320/22:10449374 - isvavai.cz</a>
Výsledek na webu
<a href="https://dl.acm.org/doi/abs/10.1145/3503161.3546973" target="_blank" >https://dl.acm.org/doi/abs/10.1145/3503161.3546973</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3503161.3546973" target="_blank" >10.1145/3503161.3546973</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Open Challenges of Interactive Video Search and Evaluation
Popis výsledku v původním jazyce
During the last 10 years of Video Browser Showdown (VBS), there were many different approaches tested for known-item search and ad-hoc search tasks. Undoubtedly, teams incorporating state-of-the-art models from the machine learning domain had an advantage over teams focusing just on interactive interfaces. On the other hand, VBS results indicate that effective means of interaction with a search system is still necessary to accomplish challenging search tasks. In this tutorial, we summarize successful deep models tested at the Video Browser Showdown as well as interfaces designed on top of corresponding distance/similarity spaces. Our broad experience with competition organization and evaluation will be presented as well, focusing on promising findings and also challenging problems from the most recent iterations of the Video Browser Showdown.
Název v anglickém jazyce
Open Challenges of Interactive Video Search and Evaluation
Popis výsledku anglicky
During the last 10 years of Video Browser Showdown (VBS), there were many different approaches tested for known-item search and ad-hoc search tasks. Undoubtedly, teams incorporating state-of-the-art models from the machine learning domain had an advantage over teams focusing just on interactive interfaces. On the other hand, VBS results indicate that effective means of interaction with a search system is still necessary to accomplish challenging search tasks. In this tutorial, we summarize successful deep models tested at the Video Browser Showdown as well as interfaces designed on top of corresponding distance/similarity spaces. Our broad experience with competition organization and evaluation will be presented as well, focusing on promising findings and also challenging problems from the most recent iterations of the Video Browser Showdown.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
MM '22: The 30th ACM International Conference on Multimedia
ISBN
978-1-4503-9203-7
ISSN
—
e-ISSN
—
Počet stran výsledku
3
Strana od-do
7383-7385
Název nakladatele
ACM
Místo vydání
New York, NY, USA
Místo konání akce
Lisbon
Datum konání akce
10. 10. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—