Object recognition in compressed imagery
It is often necessary to search for objects in large databases of compressed imagery. In the past, object recognition and image compression have generally been treated as separate problems, resulting in inefficient suboptimal performance. Moreover, computational and storage issues make it fundamenta...
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| Format: | Others |
| Language: | en |
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2000
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| Online Access: | https://thesis.library.caltech.edu/6098/1/Daniell_ce_2000.pdf Daniell, Cynthia Evors (2000) Object recognition in compressed imagery. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/6z3z-ar86. https://resolver.caltech.edu/CaltechTHESIS:10052010-135012445 <https://resolver.caltech.edu/CaltechTHESIS:10052010-135012445> |
Internet
https://thesis.library.caltech.edu/6098/1/Daniell_ce_2000.pdfDaniell, Cynthia Evors (2000) Object recognition in compressed imagery. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/6z3z-ar86. https://resolver.caltech.edu/CaltechTHESIS:10052010-135012445 <https://resolver.caltech.edu/CaltechTHESIS:10052010-135012445>