2581316
doi
10.1109/IVMSPW.2018.8448876
oai:zenodo.org:2581316
user-eu
Anastasia Moumtzidou
CERTH-ITI
Stefanos Vrochidis
CERTH-ITI
Ioannis Kompatsiaris
CERTH-ITI
Fusion of Compound Queries with Multiple Modalities for Known Item Video Search
Ilias Gialampoukidis
CERTH-ITI
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>Multimedia collections are ubiquitous and very often contain hundreds of hours of video information. The retrieval of a particular scene of a video (Known Item Search) in a large collection is a difficult problem, considering the multimodal character of all video shots and the complexity of the query, either visual or textual. We tackle these challenges by fusing, first, multiple modalities in a nonlinear graph-based way for each subtopic of the query. In addition, we fuse the top retrieved video shots per sub-query to provide the final list of retrieved shots, which is then re-ranked using temporal information. The framework is evaluated in popular Known Item Search tasks in the context of video shot retrieval and provides the largest Mean Reciprocal Rank scores.</p>
Zenodo
2018-06-10
info:eu-repo/semantics/conferencePaper
2581315
user-eu
award_title=Enhancing decision support and management services in extreme weather climate events; award_number=700475; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/700475; funder_id=00k4n6c32; funder_name=European Commission;
award_title=Visual and textual content re-purposing FOR(4) architecture, Design and video virtual reality games; award_number=779962; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/779962; funder_id=00k4n6c32; funder_name=European Commission;
1579540495.208674
673671
md5:1ccd838dd16ecf6bae4f72372495cba1
https://zenodo.org/records/2581316/files/2018-ieee-image_.pdf
public