Video Search with Context-Aware Ranker and Relevance Feedback

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10447498" target="_blank" >RIV/00216208:11320/22:10447498 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-98355-0_46" target="_blank" >https://doi.org/10.1007/978-3-030-98355-0_46</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-98355-0_46" target="_blank" >10.1007/978-3-030-98355-0_46</a>

Result language
angličtina
Original language name
Video Search with Context-Aware Ranker and Relevance Feedback
Original language description
Interactive video search systems effectively combine text-image embedding approaches and smart user interfaces allowing various means of browsing in intermediate result sets. In this paper, we combine features from VIRET and SOMHunter systems into a novel approach for segment based interactive video retrieval. Based on our SOMHunter log analysis and VIRET tool performance in known-item search tasks, we focus on two specific features - a combination of context-aware ranking by text queries and Bayesian-like relevance feedback approach for refining scores using promising candidates.
Czech name
—
Czech description
—

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)

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)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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