LEADER 03639nam 22006495 450 001 9910485048203321 005 20200701191408.0 010 $a3-319-05642-5 024 7 $a10.1007/978-3-319-05642-5 035 $a(CKB)3710000000106746 035 $a(DE-He213)978-3-319-05642-5 035 $a(SSID)ssj0001205113 035 $a(PQKBManifestationID)11698817 035 $a(PQKBTitleCode)TC0001205113 035 $a(PQKBWorkID)11192259 035 $a(PQKB)10998112 035 $a(MiAaPQ)EBC3092963 035 $a(PPN)178320307 035 $a(EXLCZ)993710000000106746 100 $a20140412d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aVisual Saliency Computation $eA Machine Learning Perspective /$fedited by Jia Li, Wen Gao 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XII, 240 p. 100 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8408 300 $a"Conference papers and proceedings." 311 $a3-319-05641-7 327 $aBenchmark and evaluation metrics -- Location-based visual saliency computation -- Object-based visual saliency computation -- Learning-based visual saliency computation -- Mining cluster-specific knowledge for saliency ranking -- Removing label ambiguity  in training saliency model -- Saliency-based applications -- Conclusions and future work. 330 $aThis book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8408 606 $aOptical data processing 606 $aArtificial intelligence 606 $aData mining 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aData mining. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 676 $a006.31 702 $aLi$b Jia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGao$b Wen$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910485048203321 996 $aVisual Saliency Computation$92829949 997 $aUNINA