FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2014798110> ?p ?o ?g. }

• W2014798110 endingPage "138" @default.
• W2014798110 startingPage "128" @default.
• W2014798110 abstract "Considering that saliency areas in images play important roles in human visual perception, in this paper we propose a Learning Compressive Sampling (LCS) scheme and its physical implementation for more efficient image acquisition via a new Multiscale and Steerable Support Value Transform (MS2VT). The key idea is to learn geometric saliency maps of images by MS2VT, which is deduced from a mapped least square-support vector machine. Because MS2VT can produce a multiscale, multidirectional, undecimated, dyadic and aliasing transform with shift-invariant and anisotropy properties, the obtained support values can reveal the geometric and saliency information of images. The learned saliency map is then used to formulate a variable density compressive function, to realize a simple, fast and efficient sampling, which aims to allocate more sensing resources to saliency attention areas but fewer to non-salient regions. Several experiments are taken on some natural images and remote sensing images to compare our proposed LCS scheme with traditional samplings when saliency information is not used. Moreover, the performance of MS2VT based saliency detection scheme is also compared with other related saliency detection approaches. The experimental results indicate that it can obtain high quality images, especially in preserving more detailed edges, contours and complex structures, even at low sampling ratios." @default.
• W2014798110 created "2016-06-24" @default.
• W2014798110 creator A5015102287 @default.
• W2014798110 creator A5033300023 @default.
• W2014798110 creator A5066783502 @default.
• W2014798110 creator A5071409265 @default.
• W2014798110 creator A5080902896 @default.
• W2014798110 creator A5085025467 @default.
• W2014798110 date "2015-07-01" @default.
• W2014798110 modified "2023-10-18" @default.
• W2014798110 title "Learning compressive sampling via multiscale and steerable support value transform" @default.
• W2014798110 cites W1996856541 @default.
• W2014798110 cites W2009104648 @default.
• W2014798110 cites W2037954058 @default.
• W2014798110 cites W2041719651 @default.
• W2014798110 cites W2054802006 @default.
• W2014798110 cites W2056238658 @default.
• W2014798110 cites W2084591647 @default.
• W2014798110 cites W2100470808 @default.
• W2014798110 cites W2105877514 @default.
• W2014798110 cites W2114790927 @default.
• W2014798110 cites W2127271355 @default.
• W2014798110 cites W2128272608 @default.
• W2014798110 cites W2129135094 @default.
• W2014798110 cites W2129638195 @default.
• W2014798110 cites W2133665775 @default.
• W2014798110 cites W2135957164 @default.
• W2014798110 cites W2136869398 @default.
• W2014798110 cites W2138608979 @default.
• W2014798110 cites W2141983208 @default.
• W2014798110 cites W2144954512 @default.
• W2014798110 cites W2146103513 @default.
• W2014798110 cites W2153831373 @default.
• W2014798110 cites W2156142145 @default.
• W2014798110 cites W2158987471 @default.
• W2014798110 cites W2161967063 @default.
• W2014798110 cites W2168399082 @default.
• W2014798110 cites W2168796889 @default.
• W2014798110 cites W2169461290 @default.
• W2014798110 cites W2172169111 @default.
• W2014798110 cites W2328383201 @default.
• W2014798110 cites W4250955649 @default.
• W2014798110 doi "https://doi.org/10.1016/j.knosys.2015.02.028" @default.
• W2014798110 hasPublicationYear "2015" @default.
• W2014798110 type Work @default.
• W2014798110 sameAs 2014798110 @default.
• W2014798110 citedByCount "5" @default.
• W2014798110 countsByYear W20147981102015 @default.
• W2014798110 countsByYear W20147981102016 @default.
• W2014798110 countsByYear W20147981102017 @default.
• W2014798110 countsByYear W20147981102022 @default.
• W2014798110 countsByYear W20147981102023 @default.
• W2014798110 crossrefType "journal-article" @default.
• W2014798110 hasAuthorship W2014798110A5015102287 @default.
• W2014798110 hasAuthorship W2014798110A5033300023 @default.
• W2014798110 hasAuthorship W2014798110A5066783502 @default.
• W2014798110 hasAuthorship W2014798110A5071409265 @default.
• W2014798110 hasAuthorship W2014798110A5080902896 @default.
• W2014798110 hasAuthorship W2014798110A5085025467 @default.
• W2014798110 hasConcept C106131492 @default.
• W2014798110 hasConcept C115961682 @default.
• W2014798110 hasConcept C12267149 @default.
• W2014798110 hasConcept C124851039 @default.
• W2014798110 hasConcept C136536468 @default.
• W2014798110 hasConcept C140779682 @default.
• W2014798110 hasConcept C153180895 @default.
• W2014798110 hasConcept C154945302 @default.
• W2014798110 hasConcept C190470478 @default.
• W2014798110 hasConcept C2780719617 @default.
• W2014798110 hasConcept C31972630 @default.
• W2014798110 hasConcept C33923547 @default.
• W2014798110 hasConcept C37914503 @default.
• W2014798110 hasConcept C4069607 @default.
• W2014798110 hasConcept C41008148 @default.
• W2014798110 hasConceptScore W2014798110C106131492 @default.
• W2014798110 hasConceptScore W2014798110C115961682 @default.
• W2014798110 hasConceptScore W2014798110C12267149 @default.
• W2014798110 hasConceptScore W2014798110C124851039 @default.
• W2014798110 hasConceptScore W2014798110C136536468 @default.
• W2014798110 hasConceptScore W2014798110C140779682 @default.
• W2014798110 hasConceptScore W2014798110C153180895 @default.
• W2014798110 hasConceptScore W2014798110C154945302 @default.
• W2014798110 hasConceptScore W2014798110C190470478 @default.
• W2014798110 hasConceptScore W2014798110C2780719617 @default.
• W2014798110 hasConceptScore W2014798110C31972630 @default.
• W2014798110 hasConceptScore W2014798110C33923547 @default.
• W2014798110 hasConceptScore W2014798110C37914503 @default.
• W2014798110 hasConceptScore W2014798110C4069607 @default.
• W2014798110 hasConceptScore W2014798110C41008148 @default.
• W2014798110 hasFunder F4320321001 @default.
• W2014798110 hasFunder F4320323230 @default.
• W2014798110 hasFunder F4320335777 @default.
• W2014798110 hasLocation W20147981101 @default.
• W2014798110 hasOpenAccess W2014798110 @default.
• W2014798110 hasPrimaryLocation W20147981101 @default.
• W2014798110 hasRelatedWork W2041399278 @default.
• W2014798110 hasRelatedWork W2056016498 @default.
• W2014798110 hasRelatedWork W2136184105 @default.

• next