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Maximal Entropy Random Walk for Region-Based Visual Saliency

contributor authorJin-Gang Yu
contributor authorJi Zhao
contributor authorJinwen Tian
contributor authorYihua Tan
date accessioned2020-03-12T18:34:55Z
date available2020-03-12T18:34:55Z
date issued2014
identifier issn2168-2267
identifier other6678551.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/963263?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleMaximal Entropy Random Walk for Region-Based Visual Saliency
typeJournal Paper
contenttypeMetadata Only
identifier padid7996501
subject keywordscomputer vision
subject keywordsfeature extraction
subject keywordsgraph theory
subject keywordsimage resolution
subject keywordsimage segmentation
subject keywordsmaximum entropy methods
subject keywordsrandom processes
subject keywordsMERW model
subject keywordsMERW rationality analysis
subject keywordsMERW superiority analysis
subject keywordsbottom-up saliency model
subject keywordscomputer vision applications
subject keywordsgeneric framework
subject keywordsgraph representation
subject keywordshigh-resolution saliency maps
subject keywordsimage superpixels
subject keywordsmathematical model
subject keywordsmaximal entropy random walk
subject keywordsnatural images
subject keywordsobject shape preservation
subject keywordsover-segmented input image
subject keywordspublicly available datasets
subject keywordsregion
identifier doi10.1109/TCYB.2013.2292054
journal titleCybernetics, IEEE Transactions on
journal volume44
journal issue9
filesize13660141
citations0


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