LEADER 04063nam 22006375 450 001 996466287503316 005 20200705185542.0 010 $a3-030-21074-X 024 7 $a10.1007/978-3-030-21074-8 035 $a(CKB)4100000008493338 035 $a(DE-He213)978-3-030-21074-8 035 $a(MiAaPQ)EBC5918882 035 $a(PPN)238492753 035 $a(EXLCZ)994100000008493338 100 $a20190618d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ACCV 2018 Workshops$b[electronic resource] $e14th Asian Conference on Computer Vision, Perth, Australia, December 2?6, 2018, Revised Selected Papers /$fedited by Gustavo Carneiro, Shaodi You 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XV, 541 p. 260 illus., 230 illus. in color.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11367 311 $a3-030-21073-1 320 $aIncludes bibliographical references and index. 327 $aScene Understanding and Modelling (SUMO) Challenge -- Learning and Inference Methods for High Performance Imaging (LIMHPI) -- Attention/Intention Understanding (AIU) -- Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning -- RGB-D - Sensing and Understanding via Combined Colour and Depth -- Dense 3D Reconstruction for Dynamic Scenes -- AI Aesthetics in Art and Media (AIAM) -- Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA) -- Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV). 330 $aThis LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV). 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11367 606 $aOptical data processing 606 $aArtificial intelligence 606 $aComputer organization 606 $aComputer hardware 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 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aComputer Hardware$3https://scigraph.springernature.com/ontologies/product-market-codes/I1200X 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aComputer organization. 615 0$aComputer hardware. 615 14$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aComputer Hardware. 676 $a006.37 702 $aCarneiro$b Gustavo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYou$b Shaodi$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466287503316 996 $aComputer Vision ? ACCV 2018 Workshops$92518652 997 $aUNISA