LEADER 04104nam 22007334a 450 001 9910780033503321 005 20200520144314.0 010 $a1-280-20637-3 010 $a9786610206377 010 $a0-306-47037-3 024 7 $a10.1007/b117225 035 $a(CKB)111056486607712 035 $a(EBL)3035538 035 $a(SSID)ssj0000267398 035 $a(PQKBManifestationID)11239426 035 $a(PQKBTitleCode)TC0000267398 035 $a(PQKBWorkID)10343030 035 $a(PQKB)11125398 035 $a(DE-He213)978-0-306-47037-0 035 $a(MiAaPQ)EBC3035538 035 $a(MiAaPQ)EBC196979 035 $a(Au-PeEL)EBL3035538 035 $a(CaPaEBR)ebr10048282 035 $a(CaONFJC)MIL20637 035 $a(OCoLC)923695968 035 $a(Au-PeEL)EBL196979 035 $a(OCoLC)559733129 035 $a(PPN)237935392 035 $a(EXLCZ)99111056486607712 100 $a20000801d2000 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVideo object extraction and representation$b[electronic resource] $etheory and applications /$fby I-Jong Lin, S.Y. Kung 205 $a1st ed. 2002. 210 $aBoston, Mass. $cKluwer Academic Publisher$d2000 215 $a1 online resource (192 p.) 225 1 $aThe Kluwer international series in engineering and computer science ;$vSECS 584 300 $aDescription based upon print version of record. 311 $a0-7923-7974-8 320 $aIncludes bibliographical references (p. [163]-173) and index. 327 $ato Content-Based Visual Processing -- Existing Techniques of Visual Processing -- Voronoi Ordered Space -- A System for Video Object Segmentation -- Robust Representation of Shape with DAGs -- A System for Image/Video Object Query by Shape -- The Future of Content-Based Video Processing. 330 $a?If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. ? - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs). 410 0$aKluwer international series in engineering and computer science ;$vSECS 584. 606 $aDigital video 606 $aMPEG (Video coding standard) 606 $aImage processing$xDigital techniques 606 $aDirected graphs 615 0$aDigital video. 615 0$aMPEG (Video coding standard) 615 0$aImage processing$xDigital techniques. 615 0$aDirected graphs. 676 $a621.388/33 700 $aLin$b I-Jong$f1971-$01531155 701 $aKung$b S. Y$g(Sun Yuan)$027546 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910780033503321 996 $aVideo object extraction and representation$93776579 997 $aUNINA