Publication: iAutoMotion- an autonomous content-based video retrieval engine
| dc.conference.date | JAN 4-6, 2016 | |
| dc.conference.location | Miami, United States | |
| dc.conference.organizer | 22nd International Conference on MultiMedia Modeling, MMM 2016 | |
| dc.contributor.coauthor | Rossetto, Luca | |
| dc.contributor.coauthor | Giangreco, Ivan | |
| dc.contributor.coauthor | Tanase, Claudiu | |
| dc.contributor.coauthor | Schuldt, Heiko | |
| dc.contributor.coauthor | Dupont, Stephane | |
| dc.contributor.coauthor | Seddati, Omar | |
| dc.contributor.department | Intelligent User Interfaces Laboratory | |
| dc.contributor.facultymember | Yes | |
| dc.contributor.kuauthor | Sahillioğlu, Yusuf | |
| dc.contributor.kuauthor | Sezgin, Tevfik Metin | |
| dc.contributor.schoolcollegeinstitute | Laboratory | |
| dc.date.accessioned | 2024-11-09T22:53:48Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | This paper introduces iAutoMotion, an autonomous video retrieval system that requires only minimal user input. It is based on the video retrieval engine IMOTION. iAutoMotion uses a camera to capture the input for both visual and textual queries and performs query composition, retrieval, and result submission autonomously. For the visual tasks, it uses various visual features applied to the captured query images; for the textual tasks, it applies OCR and some basic natural language processing, combined with object recognition. As the iAutoMotion system does not conform to the VBS 2016 rules, it will participate as unofficial competitor and serve as a benchmark for the manually operated systems. | |
| dc.description.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | Scopus | |
| dc.description.openaccess | YES | |
| dc.description.peerreviewstatus | N/A | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | N/A | |
| dc.description.studentonlypublication | No | |
| dc.description.studentpublication | Yes | |
| dc.description.version | N/A | |
| dc.identifier.WoSQuartile | Q4 | |
| dc.identifier.doi | 10.1007/978-3-319-27674-8_37 | |
| dc.identifier.eissn | 1611-3349 | |
| dc.identifier.embargo | N/A | |
| dc.identifier.endpage | 387 | |
| dc.identifier.isbn | 9783319276731 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.scopus | 2-s2.0-84955256496 | |
| dc.identifier.startpage | 383 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-319-27674-8_37 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/7259 | |
| dc.identifier.volume | 9517 | |
| dc.keywords | Engines | |
| dc.keywords | Image retrieval | |
| dc.keywords | Natural language processing systems | |
| dc.keywords | Object recognition | |
| dc.keywords | Vision | |
| dc.keywords | Content-based video retrieval | |
| dc.keywords | Natural language processing | |
| dc.keywords | Operated systems | |
| dc.keywords | Query composition | |
| dc.keywords | Textual query | |
| dc.keywords | Video retrieval | |
| dc.keywords | Video retrieval system | |
| dc.keywords | Visual feature | |
| dc.keywords | Visual languages | |
| dc.language.iso | eng | |
| dc.publisher | Springer Nature | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | Lecture Notes in Computer Science | |
| dc.relation.openaccess | N/A | |
| dc.rights | N/A | |
| dc.subject | Computer science | |
| dc.title | iAutoMotion- an autonomous content-based video retrieval engine | |
| dc.type | Conference Proceeding | |
| dspace.entity.type | Publication | |
| local.contributor.kuauthor | Sezgin, Tevfik Metin | |
| local.contributor.kuauthor | Sahillioğlu, Yusuf | |
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