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dc.contributor.authorSchneider, Jens
dc.date.accessioned2017-09-20T11:55:44Z
dc.date.available2017-09-20T11:55:44Z
dc.date.issued2017-08-17
dc.date.submitted2016-02-15
dc.identifier.urihttp://hdl.handle.net/10754/625481
dc.description.abstractVarious examples are provided for lossless compression of data streams. In one example, a Z-lossless (ZLS) compression method includes generating compacted depth information by condensing information of a depth image and a compressed binary representation of the depth image using histogram compaction and decorrelating the compacted depth information to produce bitplane slicing of residuals by spatial prediction. In another example, an apparatus includes imaging circuitry that can capture one or more depth images and processing circuitry that can generate compacted depth information by condensing information of a captured depth image and a compressed binary representation of the captured depth image using histogram compaction; decorrelate the compacted depth information to produce bitplane slicing of residuals by spatial prediction; and generate an output stream based upon the bitplane slicing.
dc.relation.urlhttp://appft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PG01&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.html&r=1&f=G&l=50&s1=%2220170237996%22.PGNR.&OS=DN/20170237996&RS=DN/20170237996
dc.relation.urlhttp://assignment.uspto.gov/#/search?adv=publNum:20170237996
dc.relation.urlhttp://www.google.com/patents/US20170237996A1
dc.relation.urlhttp://worldwide.espacenet.com/publicationDetails/biblio?CC=US&NR=2017237996A1&KC=A1&FT=D
dc.titleReal-time lossless compression of depth streams
dc.typePatent
dc.contributor.departmentVisual Computing Center (VCC)
dc.description.statusPublished Application
dc.contributor.assigneeKing Abdullah University Of Science And Technology
dc.description.countryUnited States of America
dc.identifier.applicationnumberUS 20170237996 A1
refterms.dateFOA2018-06-14T03:22:42Z


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