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dc.contributor.authorKandadai, Srivatsan
dc.date.accessioned2016-04-15T23:25:30Zen
dc.date.available2016-04-15T23:25:30Zen
dc.date.issued2002-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/605573en
dc.descriptionInternational Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, Californiaen_US
dc.description.abstractWe are interested in the problem of detecting and localizing objects in the compressed domain. The practical uses of this research are video surveillance, queries over digital library archives and teleconferencing. Most image operations, such as object recognition, are formulated as sequences of operations in the image domain. Such methods need direct access to pixel information as a starting point, but pixel information is not directly available in a compressed image stream. The standards that have emerged for still-image and video compression each contain steps that are commonly found in compression algorithms, like linear transformations, coefficient quantization, run-length coding and entropy coding. Coders like JPEG 2000 and SPHIT are built around the wavelet transform. Thus as a step toward detection and localization of objects embedded in the compressed bit stream we consider here the problem of localizing and detection in the wavelet domain.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © International Foundation for Telemeteringen
dc.titleOBJECT DETECTION AND LOCALIZATION IN THE WAVELET DOMAINen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentNew Mexico State Universityen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en
refterms.dateFOA2018-09-11T08:57:47Z
html.description.abstractWe are interested in the problem of detecting and localizing objects in the compressed domain. The practical uses of this research are video surveillance, queries over digital library archives and teleconferencing. Most image operations, such as object recognition, are formulated as sequences of operations in the image domain. Such methods need direct access to pixel information as a starting point, but pixel information is not directly available in a compressed image stream. The standards that have emerged for still-image and video compression each contain steps that are commonly found in compression algorithms, like linear transformations, coefficient quantization, run-length coding and entropy coding. Coders like JPEG 2000 and SPHIT are built around the wavelet transform. Thus as a step toward detection and localization of objects embedded in the compressed bit stream we consider here the problem of localizing and detection in the wavelet domain.


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