Movement Epenthesis Detection in Compressed and Uncompressed Sign Language Videos
| dc.contributor.guide | Bhuyan, M K | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Talukdar, Anjan Kumar | |
| dc.date.accessioned | 2023-07-10T11:56:31Z | |
| dc.date.available | 2023-07-10T11:56:31Z | |
| dc.date.awarded | 2022 | |
| dc.date.completed | 2022 | |
| dc.date.registered | 2010 | |
| dc.description.abstract | Continuous sign language recognition (SLR) system suffers from a problem called coarticulation. Movement epenthesis (me) is a special type of coarticulation which is a transition from one sign to other. So, sign spotting is a process of segmenting out signs and fingerspellings from continuous utterance sentences by removing movement epenthesis components, which is a challenging task. | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/498167 | |
| dc.language | English | |
| dc.publisher.institution | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING | |
| dc.publisher.place | Guwahati | |
| dc.publisher.university | Indian Institute of Technology Guwahati | |
| dc.relation | ||
| dc.rights | self | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Engineering Electrical and Electronic | |
| dc.title | Movement Epenthesis Detection in Compressed and Uncompressed Sign Language Videos | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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