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O  @8 __WPP6pOp    0` 33` Sf3f` 33g` f` www3PP` ZXdbmo` \ғ3y`Ӣ` 3f3ff` 3f3FKf` hk]wwwfܹ` ff>>\`Y{ff` R>&- {p_/̴>?" dd9|?" dd+ fz$"   *p n?" dd@   @@``PR  z  p ` p>$ >  :2(    `T\\  Rectangle 2Q*   V Click to edit Master title style! ! B  Z,\\  Rectangle 3U Q'  RClick to edit Master text styles Second level Third level Fourth level Fifth level!     S   Z1\\  Rectangle 4Z(Qsj+  ` " fz*p  Z\\  Rectangle 5Z(Sj+   b " fz*p&  Z,\\  Rectangle 6Z(j+  * "  fz*pN  6 C? 33 Default DesignV 0  `(    Zk5k5  Rectangle 2 *   ` " ,  Zk5k5  Rectangle 3E.*  b " ,|  c <  Rectangle 4>hm H  `k5k5  Rectangle 5'  RClick to edit Master text styles Second level Third level Fourth level Fifth level!     S   ` Xk5k5  Rectangle 6) )+   ` " ,.  `ik5k5  Rectangle 7)E.)+  * "  ,N  6 C ? 3380___PPT10.KP en 0 0  (     `\\ Rectangle 4x  EA Cloud Image Compression Prof. Wu Feng Microsoft Research AsiaB """cc"""  &#   fz*p  X\\ Text Box 5 ZE  ` " fz*p  X\\ Text Box 6y W Abstract With the rapid development of digital camera and other mobile devices equipped with camera, there are a large amount of images available in the Internet. When you randomly take a picture with your phone on the street, you can often find some highly correlated images in the Internet that were taken at the same location at different viewpoints and angles, focal lengths, and illuminations. In this talk, I will introduce our two new researches: compressing of large-scale images and compressing using large-scale images. In the former, we analyze the correlation of images and organize them as pseudo image sequences. Our experimental results show that the size compressing them as sequences is only one-tenth of that compressing them one by one. In the latter, we no longer compress images pixel by pixel and instead tried to describe images and reconstruct them from a large-scale image database via the descriptions. The proposed scheme can achieve thousands to one compression ratio with good visual quality.:    "c  fz*p-  X\\ Text Box 7m"! Biography Feng Wu received his B.S. degree in Electrical Engineering from XIDIAN University in 1992. He received his M.S. and Ph.D. degrees in Computer Science from Harbin Institute of Technology in 1996 and 1999, respectively. Wu joined in Microsoft Research Asia, formerly named Microsoft Research China as an Associate Researcher in 1999. He has been a researcher with Microsoft Research Asia since 2001 and is now a Senior Researcher/Research Manager. His research interests include image and video compression, media communication, and media analysis and synthesis. He has authored or co-authored over 200 high quality papers (including over50 journal papers) and filed 67 US patents (25 granted). His 13 techniques have been adopted into international video coding standards.As a co-author, he got the best paper award in IEEE T-CSVT 2009, PCM 2008 and SPIE VCIP 2007. Wu has been a Fellow of IEEE. He serves as an associate editor in IEEE Transactions on Circuits and System for Video Technology, IEEE Transactions on Multimedia and several other International journals. He also serves as TPC chair in MMSP 2011, VCIP 2010 and PCM 2009, TPC track chair in ICME 2013,ICIP 2012, ICME 2012, ICME 2011 and ICME 2009, and Special sessions chair in ISCAS 2013andICME 2010.:  ""c&    fz*p   x\\ )Rectangle 8+ ` " fz*pb   xZ\\ AutoShape 9b ` " fz*p b  @  zZ \\ AutoShape 10H  ` " fz*pv  `8<oo Text Box 14l LDec 2nd , Monday, 9:30-11:30am, 5uO|O[>' c"c   fz*p"  bT\\ Rectangle 17 Seminar Announcement. c c   fz*p  TA?"Picture 1bio pic"F7v B  s * C? 33r@yI- q(PL,/++ H/ 0|DArial MT Blacku' 0Oh+'0DF , P \ ht|Slide 1 Engineering Technical ServicesWindows û109Microsoft Office PowerPoint@ ,@n@&l!PGD  L"!   ;  """)))UUUMMMBBB999|PP3f333f3333f3ffffff3f̙3ff333f333333333f33333333f33f3ff3f3f3f3333f33̙33333f333333f3333f3ffffff3f33ff3f3f3f3fff3ffffffffff3ffff̙fff3fffff3fff333f3f3ff3ff33f̙̙3̙ff̙̙̙3f̙3f333f3333f3ffffff3f̙3f3f3f333f3333f3ffffff3f̙3f3ffffffffff!___www74! 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O  @8 __WPP6pOp  0 :20  (     `d\\ Rectangle 4x  ia Cloud-based Image Coding Prof. Wu Feng IEEE Fellow, Senior Researcher Microsoft Research Asiab """"cc" " ""&$  : fz*p  Xо\\ Text Box 5 ZE  ` " fz*p  Xl4\\ Text Box 6y W Abstract With the rapid development of digital camera and other mobile devices equipped with camera, there are a large amount of images available in the Internet. When you randomly take a picture with your phone on the street, you can often find some highly correlated images in the Internet that were taken at the same location at different viewpoints and angles, focal lengths, and illuminations. In this talk, I will introduce our two new researches: compressing of large-scale images and compressing using large-scale images. In the former, we analyze the correlation of images and organize them as pseudo image sequences. Our experimental results show that the size compressing them as sequences is only one-tenth of that compressing them one by one. In the latter, we no longer compress images pixel by pixel and instead tried to describe images and reconstruct them from a large-scale image database via the descriptions. The proposed scheme can achieve thousands to one compression ratio with good visual quality.:    "c  fz*p-  X/\\ Text Box 7m"! Biography Feng Wu received his B.S. degree in Electrical Engineering from XIDIAN University in 1992. He received his M.S. and Ph.D. degrees in Computer Science from Harbin Institute of Technology in 1996 and 1999, respectively. Wu joined in Microsoft Research Asia, formerly named Microsoft Research China as an Associate Researcher in 1999. He has been a researcher with Microsoft Research Asia since 2001 and is now a Senior Researcher/Research Manager. His research interests include image and video compression, media communication, and media analysis and synthesis. He has authored or co-authored over 200 high quality papers (including over50 journal papers) and filed 67 US patents (25 granted). His 13 techniques have been adopted into international video coding standards.As a co-author, he got the best paper award in IEEE T-CSVT 2009, PCM 2008 and SPIE VCIP 2007. Wu has been a Fellow of IEEE. He serves as an associate editor in IEEE Transactions on Circuits and System for Video Technology, IEEE Transactions on Multimedia and several other International journals. He also serves as TPC chair in MMSP 2011, VCIP 2010 and PCM 2009, TPC track chair in ICME 2013,ICIP 2012, ICME 2012, ICME 2011 and ICME 2009, and Special sessions chair in ISCAS 2013andICME 2010.:  ""c&    fz*p   x^\\ )Rectangle 8+ ` " fz*pb   xZg\\ AutoShape 9b ` " fz*p b  @  zZq\\ AutoShape 10H  ` " fz*pn  `soo Text Box 14l DDec 3rd , Tuesday, 10:00am, 5uO|O[># c"c  fz*p"  bw\\ Rectangle 17 Seminar Announcement. c c   fz*p  TA?"Picture 1bio pic"F7v B  s * C? 33rH%NHc   !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~Root EntrydO)Rs!PPictures Current User DSummaryInformation(tFPowerPoint Document(cDocumentSummaryInformation8D[SOal MT Blacku' 0 DArial Rounded MT Bold 0"0DTimes New Roman Bold 0@DBodoni MT Black Bold 0 B.  @n?" dd@  @@`` ( /X$R$R~it$  6AA@3g4BdBd̄' 0p'p)  ʚ;ʚ;<4BdBd x 080___PPT10 ?  O  @8 __WPP6pOp  0 B:0  (     `L6\\ Rectangle 4x  sa Cloud-based Image Coding Prof. Wu Feng IEEE Fellow, Senior Researcher Microsoft Research Asiab """cc"  """&$  : fz*p  X<<\\ Text Box 5 ZE  ` " fz*p  X@Q\\ Text Box 6y W Abstract With the rapid development of digital camera and other mobile devices equipped with camera, there are a large amount of images available in the Internet. When you randomly take a picture with your phone on the street, you can often find some highly correlated images in the Internet that were taken at the same location at different viewpoints and angles, focal lengths, and illuminations. In this talk, I will introduce our two new researches: compressing of large-scale images and compressing using large-scale images. In the former, we analyze the correlation of images and organize them as pseudo image sequences. Our experimental results show that the size compressing them as sequences is only one-tenth of that compressing them one by one. In the latter, we no longer compress images pixel by pixel and instead tried to describe images and reconstruct them from a large-scale image database via the descriptions. The proposed scheme can achieve thousands to one compression ratio with good visual quality.:    "c  fz*p-  Xe\\ Text Box 7m"! Biography Feng Wu received his B.S. degree in Electrical Engineering from XIDIAN University in 1992. He received his M.S. and Ph.D. degrees in Computer Science from Harbin Institute of Technology in 1996 and 1999, respectively. Wu joined in Microsoft Research Asia, formerly named Microsoft Research China as an Associate Researcher in 1999. He has been a researcher with Microsoft Research Asia since 2001 and is now a Senior Researcher/Research Manager. His research interests include image and video compression, media communication, and media analysis and synthesis. He has authored or co-authored over 200 high quality papers (including over50 journal papers) and filed 67 US patents (25 granted). His 13 techniques have been adopted into international video coding standards.As a co-author, he got the best paper award in IEEE T-CSVT 2009, PCM 2008 and SPIE VCIP 2007. Wu has been a Fellow of IEEE. He serves as an associate editor in IEEE Transactions on Circuits and System for Video Technology, IEEE Transactions on Multimedia and several other International journals. He also serves as TPC chair in MMSP 2011, VCIP 2010 and PCM 2009, TPC track chair in ICME 2013,ICIP 2012, ICME 2012, ICME 2011 and ICME 2009, and Special sessions chair in ISCAS 2013andICME 2010.:  ""c&    fz*p   x\\ )Rectangle 8+ ` " fz*pb   xZ\\ AutoShape 9b ` " fz*p b  @  zZ`\\ AutoShape 10H  ` " fz*pl  `oo Text Box 14l BDec 2nd , Monday, 10:00am, 5uO|O[>" c"c  fz*p"  b䝃\\ Rectangle 17 Seminar Announcement. c c   fz*p  TA?"Picture 1bio pic"F7v B  s * C? 33r]-29-pH q(PL,/++ H/ 0|DArial MT BlacklgV 0D[SOal MT BlacklgV 0 DArial Rounded MT Bold 0"0DTimes  ՜.+,D՜.+,D  ( 08@ HPX` h Զ University of Missouri-Columbiac ArialArial Rounded MT BoldTimes New RomanBodoni MT BlackDefault Design õƬ 1  õʾĸģ õƬ` ?GKSOProductBuildVer2052-8.1.0.3518$_c Windows ûWindows (u7b