Publication: IMOTION — a content-based video retrieval engine
dc.contributor.coauthor | Rossetto, Luca | |
dc.contributor.coauthor | Giangreco, Ivan | |
dc.contributor.coauthor | Schuldt, Heiko | |
dc.contributor.coauthor | Dupont, Stèphane | |
dc.contributor.coauthor | Seddati, Omar | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Sahillioğlu, Yusuf | |
dc.contributor.kuauthor | Sezgin, Tevfik Metin | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-11-09T23:19:42Z | |
dc.date.issued | 2015 | |
dc.description.abstract | This paper introduces the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. For vector space retrieval, the IMOTION system exploits a large variety of lowlevel image and video features, as well as high-level spatial and temporal features that can all be jointly used in any combination. In addition, it supports dedicated motion features to allow for the specification of motion within a video sequence. For query specification, the IMOTION system supports query-by-sketch interactions (users provide sketches of video frames), motion queries (users specify motion across frames via partial flow fields), query-by-example (based on images) and any combination of these, and provides support for relevance feedback. | |
dc.description.indexedby | Scopus | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | Australia Government AusAID | |
dc.description.sponsorship | Business Events Australia | |
dc.description.sponsorship | Business Events Sydney | |
dc.description.sponsorship | Qantas | |
dc.description.sponsorship | The University of Technology | |
dc.description.volume | 8936 | |
dc.identifier.doi | 10.1007/978-3-319-14442-9_24 | |
dc.identifier.isbn | 9783-3191-4441-2 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-84927799508 | |
dc.identifier.uri | https://doi.org/10.1007/978-3-319-14442-9_24 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/10577 | |
dc.keywords | Engines | |
dc.keywords | Specifications | |
dc.keywords | Vector spaces | |
dc.language.iso | eng | |
dc.publisher | Springer | |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.subject | Computer science | |
dc.title | IMOTION — a content-based video retrieval engine | |
dc.type | Conference Proceeding | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Sezgin, Tevfik Metin | |
local.contributor.kuauthor | Sahillioğlu, Yusuf | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit2 | Department of Computer Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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