Open Challenges of Interactive Video Search and Evaluation
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Open Challenges of Interactive Video Search and Evaluation
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MM '22: The 30th ACM International Conference on Multimedia
ISBN
978-1-4503-9203-7
ISSN
—
e-ISSN
—
Number of pages
3
Pages from-to
7383-7385
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Lisbon
Event date
Oct 10, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—