Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/371087
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2022-03-31T06:03:48Z | - |
dc.date.available | 2022-03-31T06:03:48Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/371087 | - |
dc.description.abstract | newline | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | A framework for content based video classification using machine learning techniques | |
dc.title.alternative | ||
dc.creator.researcher | Vishwakarma, Gagan | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | Singh, Ghanshyam | |
dc.publisher.place | Bhopal | |
dc.publisher.university | Maulana Azad National Institute of Technology Bhopal | |
dc.publisher.institution | Computer science and engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | ||
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Computer science and engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 268.33 kB | Adobe PDF | View/Open |
02_certificate.pdf | 145.1 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 8.7 MB | Adobe PDF | View/Open | |
04_chapter-1.pdf | 7.14 MB | Adobe PDF | View/Open | |
05_chapter-2.pdf | 18.47 MB | Adobe PDF | View/Open | |
06_chapter-3.pdf | 6.31 MB | Adobe PDF | View/Open | |
07_chapter-4.pdf | 9.69 MB | Adobe PDF | View/Open | |
08_chapter-5.pdf | 7.5 MB | Adobe PDF | View/Open | |
09_chapter-6.pdf | 16.68 MB | Adobe PDF | View/Open | |
10_chapter-7.pdf | 4.25 MB | Adobe PDF | View/Open | |
11_bibliography.pdf | 14.17 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 4.52 MB | Adobe PDF | View/Open |
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