LEADER 03944nam 22006855 450 001 996466247303316 005 20200702005701.0 010 $a3-319-46475-2 024 7 $a10.1007/978-3-319-46475-6 035 $a(CKB)3710000000872946 035 $a(DE-He213)978-3-319-46475-6 035 $a(MiAaPQ)EBC5586892 035 $a(Au-PeEL)EBL5586892 035 $a(OCoLC)958972228 035 $a(PPN)195511255 035 $a(EXLCZ)993710000000872946 100 $a20160916d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision ? ECCV 2016$b[electronic resource] $e14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II /$fedited by Bastian Leibe, Jiri Matas, Nicu Sebe, Max Welling 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XXIX, 887 p. 342 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9906 311 $a3-319-46474-4 327 $aDetection, recognition and retrieval -- Scene understanding -- Optimization -- Image and video processing -- Learning -- Action activity and tracking -- 3D -- Poster sessions. 330 $aThe eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physics-based vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v9906 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aComputer graphics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 676 $a006.6 676 $a006.37 702 $aLeibe$b Bastian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMatas$b Jiri$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSebe$b Nicu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWelling$b Max$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466247303316 996 $aComputer Vision ? ECCV 2016$92808116 997 $aUNISA