Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab
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Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab

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Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab.

Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab.

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Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab Presentation Transcript

  • Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab Wesley De Neve ICU, Daejeon, South Korea September 2007
  • I am from... • Belgium – located in Europe – 30,528 square km – 10.5 million people – weather has four seasons – three official languages • Dutch – my native language • French • German http://en.wikipedia.org/wiki/Belgium Belgium
  • I was born... • on May the 31st, 1980 • in Ghent – 233,120 inhabitants Ghent http://en.wikipedia.org/wiki/Ghent
  • I am living... • in Aalter – a city close to Ghent – 18,841 inhabitants
  • Background MMLab (1/2) • Multimedia Lab (MMLab) – research group – headed by professor Rik Van de Walle – part of Ghent University – IBBT • Ghent University – about 25,000 students • IBBT (Institute for BroadBand Technology) – fosters cooperation between different universities and industrial partners in Belgium » Alcatel-Lucent, Scientific Atlanta (Cisco), Barco, ... – people • 6 staff members • currently 25 researchers (Ph.D. students and “others”) • about 15 master students each year
  • Background MMLab (2/2) • Multimedia Lab (MMLab) – teaching • five courses in the field of multimedia – main research topics • advanced video applications – e.g., adaptation of scalable and non-scalable video content • mobile multimedia applications – e.g., transparent transfer of multimedia sessions • standardization in the field of multimedia systems and applications – MPEG, JVT, and W3C http://multimedialab.elis.ugent.be/
  • My Education @ Ghent University • Master in Computer Science (1998 - 2002) – Master’s Thesis • “Practical study and analysis of the QuickTime framework” – programming on top of the QuickTime API using Visual C++ • Ph.D. in Computer Science Engineering (2002 - 2007) – Ph.D. Dissertation • “Description-driven adaptation of media resources” – format-independent video content adaptation using XML • other research topics – assessment of video quality – GPU-based video processing • complete list of publications (published) – http://www.elis.ugent.be/en/node/648?G=*&A=De Neve,+W
  • Video Content Adaptation • Investigation of format-independent techniques for the efficient adaptation of (scalable) video content – using an XML-based approach • inspired by MPEG-21 BSDL and XFlavor • novel contribution: design of BFlavor (BSDL + XFlavor) – results verified for H.264/AVC, SVC, VC-1, and so on original bitstream I BB P adapted bitstream MPEG-21 BSDL I P transformed XML STX XMLBFlavor
  • XML-based Content Adaptation: Principles I picture B picture B picture P picture t Bitstream Syntax Description (BSD) Compressed bitstream <bitstream xml:base="bitstream_30hz.mpg"> <header>0 24</header> <I_picture>24 2637</I_picture> <B_picture>2661 746</B_picture> <B_picture>3407 903</B_picture> <P_picture>4310 1657</P_picture> </bitstream> adapted bit stream suited for playback in a constrained environment
  • Video Quality Assessment • Analysis of rate-distortion performance of H.264/AVC – by means of an extensive number of experiments – compared to state-of-the-art video coding formats • VC-1 – Windows Media Video 9 • MPEG-4 Visual – XviD and DivX • MC-EZBC – wavelet-based video codec developed by John Woods – use of different objective quality metrics • PSNR and JND
  • GPU-based Video Processing • Use of the GPU – for color space conversions • e.g., YCoCg-R to RGB – for video effects • e.g., blurring and sharpening – for H.264/AVC decoding • using Direct3D and NVIDIA CUDA – Compute Unified Device Architecture • focus on motion compensation – results presented at WIAMIS 2007 and SPIE Optics + Photonics 2007
  • Other Experiences • Participated in MPEG standardization – contributed to improving MPEG-21 Digital Item Adaptation • in particular, MPEG-21 BSDL – proposed extensions to BSDL included in an amendment to MPEG-21 Digital Item Adaptation • Workpackage management – for projects at a national (i.e., Belgian) and European level • Supervised 15 master students – mainly in the domain of video adaptation, video coding, and rich media applications • rich media applications: based on MPEG-4 XMT or Microsoft Silverlight
  • Remaining Activities at MMLab • Follow-up of research regarding – XML-driven video content adaptation – GPU-based video processing • design of a novel video codec with following requirements – GPU-friendly – lossless – scalable – support for high dynamic range imaging • Activities are supposed to be limited in effort
  • Personal Research Goals • To work towards a number of co-publications • To increase (practical) knowledge w.r.t. – scalable video coding (SVC) – programming for the GPU using NVIDIA CUDA – new coding formats such as HD Photo / JPEG XR – lossless video coding – high dynamic range imaging (HDRI)
  • Possible Research Topics (1/2) • Topic 1 – comparison of adaptivity provisions of • Microsoft HD Photo / JPEG XR (http://blogs.msdn.com/billcrow/) • JPEG 2000 • intra-only SVC • (MPEG-4 VTC) – from an MPEG-21 DIA point of view • this is, using MPEG-21 BSDL • how can MPEG-21 DIA be useful for a service such as Flickr? – adaptation in the compressed domain – rotation in the compressed domain – allows for cooperation with MMLab – needs further thinking to find good research questions...
  • Possible Research Topics (2/2) • Topic 2 – GPU-based video processing using CUDA • new computing paradigm • http://developer.nvidia.com/object/cuda.html – e.g., in the context of SVC • motion estimation has to be done at several spatial layers • computationally expensive – allows for cooperation with Bart Pieters in MMLab – my preferred research topic... – needs further thinking to find good research questions... • Other proposals or suggestions? – e.g., multimedia ontologies for semantic adaptation, ...?
  • Some Remarks • Constraints – time constraints • difficult to start a completely new research topic • probably, the best thing to do is to continue to build on my previous research experience – group constraints • preference for close cooperation with people in the group – e.g., people working on video adaptation, SVC, GPU, ...? • Proposed topics – allow for cooperation between IVY Lab and MMLab, and hence, allow for co-publications