000 03918nam a22006375i 4500
001 978-3-319-16199-0
003 DE-He213
005 20200421112232.0
007 cr nn 008mamaa
008 150319s2015 gw | s |||| 0|eng d
020 _a9783319161990
_9978-3-319-16199-0
024 7 _a10.1007/978-3-319-16199-0
_2doi
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
245 1 0 _aComputer Vision - ECCV 2014 Workshops
_h[electronic resource] :
_bZurich, Switzerland, September 6-7 and 12, 2014, Proceedings, Part III /
_cedited by Lourdes Agapito, Michael M. Bronstein, Carsten Rother.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXXI, 860 p. 393 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8927
505 0 _aTransferring and adapting source knowledge in computer vision -- Surveillance and re-identification -- Color and photometry in computer vision -- Assistive computer vision and robotics.
520 _aThe four-volume set LNCS 8925, 8926, 8927 and 8928 comprises the thoroughly refereed post-workshop proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included.      .
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aArtificial intelligence.
650 0 _aComputer graphics.
650 0 _aImage processing.
650 0 _aPattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aPattern Recognition.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aComputer Graphics.
650 2 4 _aInformation Systems Applications (incl. Internet).
700 1 _aAgapito, Lourdes.
_eeditor.
700 1 _aBronstein, Michael M.
_eeditor.
700 1 _aRother, Carsten.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319161983
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v8927
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-16199-0
912 _aZDB-2-SCS
912 _aZDB-2-LNC
942 _cEBK
999 _c58065
_d58065