Compressive Underwater Video Camera (CUVC)
Develop efficient real-time and near real-time compression algorithms having large compression ratios (CR) needed for acoustic transmission of underwater image/video/sonar data. Requirements for transmission of high bandwidth data acoustically necessitate compression ratios exceeding those currently...
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| creator | Caimi, Frank M Ritter, Gerhard X Schmalz, Mark |
| description | Develop efficient real-time and near real-time compression algorithms having large compression ratios (CR) needed for acoustic transmission of underwater image/video/sonar data. Requirements for transmission of high bandwidth data acoustically necessitate compression ratios exceeding those currently achievable with standard methods. In particular, algorithms are required that are tailored to compression of data specific to underwater sensors. Production of efficient, low-error compression schemes suited for both Human-in-the-Loop (HIL) and Automated Target Recognition (ATR) schemes are long term goals.
Prepared in collaboration with the Department of Electrical and Computer Engineering, Harbor Branch Oceanographic Institute, Ft. Pierce, FL. |
| format | Report |
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Prepared in collaboration with the Department of Electrical and Computer Engineering, Harbor Branch Oceanographic Institute, Ft. Pierce, FL.</description><language>eng</language><subject>ACOUSTIC DATA ; ALGORITHMS ; COMPRESSION RATIO ; CUVC(COMPRESSIVE UNDERWATER VIDEO CAMERAS) ; Hydrology, Limnology and Potamology ; Photography ; UNDERWATER CAMERAS ; VIDEO SIGNALS</subject><creationdate>1997</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,781,886,27572,27573</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA628914$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Caimi, Frank M</creatorcontrib><creatorcontrib>Ritter, Gerhard X</creatorcontrib><creatorcontrib>Schmalz, Mark</creatorcontrib><creatorcontrib>FLORIDA UNIV GAINESVILLE DEPT OF COMPUTER AND INFORMATION SCIENCES</creatorcontrib><title>Compressive Underwater Video Camera (CUVC)</title><description>Develop efficient real-time and near real-time compression algorithms having large compression ratios (CR) needed for acoustic transmission of underwater image/video/sonar data. Requirements for transmission of high bandwidth data acoustically necessitate compression ratios exceeding those currently achievable with standard methods. In particular, algorithms are required that are tailored to compression of data specific to underwater sensors. Production of efficient, low-error compression schemes suited for both Human-in-the-Loop (HIL) and Automated Target Recognition (ATR) schemes are long term goals.
Prepared in collaboration with the Department of Electrical and Computer Engineering, Harbor Branch Oceanographic Institute, Ft. Pierce, FL.</description><subject>ACOUSTIC DATA</subject><subject>ALGORITHMS</subject><subject>COMPRESSION RATIO</subject><subject>CUVC(COMPRESSIVE UNDERWATER VIDEO CAMERAS)</subject><subject>Hydrology, Limnology and Potamology</subject><subject>Photography</subject><subject>UNDERWATER CAMERAS</subject><subject>VIDEO SIGNALS</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1997</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZNByzs8tKEotLs4sS1UIzUtJLSpPLEktUgjLTEnNV3BOzE0tSlTQcA4Nc9bkYWBNS8wpTuWF0twMMm6uIc4euiklmcnxxSWZeakl8Y4ujmZGFpaGJsYEpAFQCSU8</recordid><startdate>19970930</startdate><enddate>19970930</enddate><creator>Caimi, Frank M</creator><creator>Ritter, Gerhard X</creator><creator>Schmalz, Mark</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>19970930</creationdate><title>Compressive Underwater Video Camera (CUVC)</title><author>Caimi, Frank M ; Ritter, Gerhard X ; Schmalz, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA6289143</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1997</creationdate><topic>ACOUSTIC DATA</topic><topic>ALGORITHMS</topic><topic>COMPRESSION RATIO</topic><topic>CUVC(COMPRESSIVE UNDERWATER VIDEO CAMERAS)</topic><topic>Hydrology, Limnology and Potamology</topic><topic>Photography</topic><topic>UNDERWATER CAMERAS</topic><topic>VIDEO SIGNALS</topic><toplevel>online_resources</toplevel><creatorcontrib>Caimi, Frank M</creatorcontrib><creatorcontrib>Ritter, Gerhard X</creatorcontrib><creatorcontrib>Schmalz, Mark</creatorcontrib><creatorcontrib>FLORIDA UNIV GAINESVILLE DEPT OF COMPUTER AND INFORMATION SCIENCES</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Caimi, Frank M</au><au>Ritter, Gerhard X</au><au>Schmalz, Mark</au><aucorp>FLORIDA UNIV GAINESVILLE DEPT OF COMPUTER AND INFORMATION SCIENCES</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Compressive Underwater Video Camera (CUVC)</btitle><date>1997-09-30</date><risdate>1997</risdate><abstract>Develop efficient real-time and near real-time compression algorithms having large compression ratios (CR) needed for acoustic transmission of underwater image/video/sonar data. Requirements for transmission of high bandwidth data acoustically necessitate compression ratios exceeding those currently achievable with standard methods. In particular, algorithms are required that are tailored to compression of data specific to underwater sensors. Production of efficient, low-error compression schemes suited for both Human-in-the-Loop (HIL) and Automated Target Recognition (ATR) schemes are long term goals.
Prepared in collaboration with the Department of Electrical and Computer Engineering, Harbor Branch Oceanographic Institute, Ft. Pierce, FL.</abstract><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | DTIC Technical Reports |
| subjects | ACOUSTIC DATA ALGORITHMS COMPRESSION RATIO CUVC(COMPRESSIVE UNDERWATER VIDEO CAMERAS) Hydrology, Limnology and Potamology Photography UNDERWATER CAMERAS VIDEO SIGNALS |
| title | Compressive Underwater Video Camera (CUVC) |
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