SlideShare a Scribd company logo
1 of 17
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

More Related Content

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

Tutorial on Hybrid Data Infrastructures: D4Science as a case study
Tutorial on Hybrid Data Infrastructures: D4Science as a case studyTutorial on Hybrid Data Infrastructures: D4Science as a case study
Tutorial on Hybrid Data Infrastructures: D4Science as a case study
Blue BRIDGE
 
Why do we need an HD Internet?Presentacio ucaid2002 b
Why do we need an HD Internet?Presentacio ucaid2002 bWhy do we need an HD Internet?Presentacio ucaid2002 b
Why do we need an HD Internet?Presentacio ucaid2002 b
Artur Serra
 

Similar to Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab (20)

Convergence Best Poster Award
Convergence Best Poster AwardConvergence Best Poster Award
Convergence Best Poster Award
 
Versatile Video Coding: Compression Tools for UHD and 360° Video
Versatile Video Coding: Compression Tools for UHD and 360° VideoVersatile Video Coding: Compression Tools for UHD and 360° Video
Versatile Video Coding: Compression Tools for UHD and 360° Video
 
Interactive Content Authoring for A/153 ATSC Mobile Digital Television Employ...
Interactive Content Authoring for A/153 ATSC Mobile Digital Television Employ...Interactive Content Authoring for A/153 ATSC Mobile Digital Television Employ...
Interactive Content Authoring for A/153 ATSC Mobile Digital Television Employ...
 
[FOSDEM 2020] Lazy distribution of container images
[FOSDEM 2020] Lazy distribution of container images[FOSDEM 2020] Lazy distribution of container images
[FOSDEM 2020] Lazy distribution of container images
 
Using Crowdsourced Images to Create Image Recognition Models with Analytics Z...
Using Crowdsourced Images to Create Image Recognition Models with Analytics Z...Using Crowdsourced Images to Create Image Recognition Models with Analytics Z...
Using Crowdsourced Images to Create Image Recognition Models with Analytics Z...
 
Multimedia Services: Video
Multimedia Services: VideoMultimedia Services: Video
Multimedia Services: Video
 
HEVC VIDEO CODEC By Vinayagam Mariappan
HEVC VIDEO CODEC By Vinayagam MariappanHEVC VIDEO CODEC By Vinayagam Mariappan
HEVC VIDEO CODEC By Vinayagam Mariappan
 
Design phase kick-off event and Ceremony
Design phase kick-off event and CeremonyDesign phase kick-off event and Ceremony
Design phase kick-off event and Ceremony
 
H.264 vs HEVC
H.264 vs HEVCH.264 vs HEVC
H.264 vs HEVC
 
Tutorial on Hybrid Data Infrastructures: D4Science as a case study
Tutorial on Hybrid Data Infrastructures: D4Science as a case studyTutorial on Hybrid Data Infrastructures: D4Science as a case study
Tutorial on Hybrid Data Infrastructures: D4Science as a case study
 
SCAPE Presentation at the Elag2013 conference in Gent/Belgium
SCAPE Presentation at the Elag2013 conference in Gent/BelgiumSCAPE Presentation at the Elag2013 conference in Gent/Belgium
SCAPE Presentation at the Elag2013 conference in Gent/Belgium
 
OGF Introductory Overview - OGF 44 at EGI Conference 2015
OGF Introductory Overview - OGF 44 at EGI Conference 2015OGF Introductory Overview - OGF 44 at EGI Conference 2015
OGF Introductory Overview - OGF 44 at EGI Conference 2015
 
Why do we need an HD Internet?Presentacio ucaid2002 b
Why do we need an HD Internet?Presentacio ucaid2002 bWhy do we need an HD Internet?Presentacio ucaid2002 b
Why do we need an HD Internet?Presentacio ucaid2002 b
 
GPAC Team Research Highlights
GPAC Team Research HighlightsGPAC Team Research Highlights
GPAC Team Research Highlights
 
Using Docker containers for scientific environments - on-premises and in the ...
Using Docker containers for scientific environments - on-premises and in the ...Using Docker containers for scientific environments - on-premises and in the ...
Using Docker containers for scientific environments - on-premises and in the ...
 
Context aware HTTP streaming, Paul Vigmostad, Netview Technologies
Context aware HTTP streaming, Paul Vigmostad, Netview TechnologiesContext aware HTTP streaming, Paul Vigmostad, Netview Technologies
Context aware HTTP streaming, Paul Vigmostad, Netview Technologies
 
Video Migration and Preservation Practices at the Netherlands Institute for S...
Video Migration and Preservation Practices at the Netherlands Institute for S...Video Migration and Preservation Practices at the Netherlands Institute for S...
Video Migration and Preservation Practices at the Netherlands Institute for S...
 
Similarity-based retrieval of multimedia content
Similarity-based retrieval of multimedia contentSimilarity-based retrieval of multimedia content
Similarity-based retrieval of multimedia content
 
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
OpenCAPI-based Image Analysis Pipeline for 18 GB/s kilohertz-framerate X-ray ...
 
LORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal depositLORENZ Building an integrated digital media archive and legal deposit
LORENZ Building an integrated digital media archive and legal deposit
 

More from Wesley De Neve

More from Wesley De Neve (20)

Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional ne...
Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional ne...Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional ne...
Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional ne...
 
Investigating the biological relevance in trained embedding representations o...
Investigating the biological relevance in trained embedding representations o...Investigating the biological relevance in trained embedding representations o...
Investigating the biological relevance in trained embedding representations o...
 
Impact of adversarial examples on deep learning models for biomedical image s...
Impact of adversarial examples on deep learning models for biomedical image s...Impact of adversarial examples on deep learning models for biomedical image s...
Impact of adversarial examples on deep learning models for biomedical image s...
 
Learning Biologically Relevant Features Using Convolutional Neural Networks f...
Learning Biologically Relevant Features Using Convolutional Neural Networks f...Learning Biologically Relevant Features Using Convolutional Neural Networks f...
Learning Biologically Relevant Features Using Convolutional Neural Networks f...
 
The 5th Aslla Symposium
The 5th Aslla SymposiumThe 5th Aslla Symposium
The 5th Aslla Symposium
 
Ghent University Global Campus 101
Ghent University Global Campus 101Ghent University Global Campus 101
Ghent University Global Campus 101
 
Booklet for the First GUGC Research Symposium
Booklet for the First GUGC Research SymposiumBooklet for the First GUGC Research Symposium
Booklet for the First GUGC Research Symposium
 
Center for Biotech Data Science at Ghent University Global Campus
Center for Biotech Data Science at Ghent University Global CampusCenter for Biotech Data Science at Ghent University Global Campus
Center for Biotech Data Science at Ghent University Global Campus
 
Center for Biotech Data Science at Ghent University Global Campus
Center for Biotech Data Science at Ghent University Global CampusCenter for Biotech Data Science at Ghent University Global Campus
Center for Biotech Data Science at Ghent University Global Campus
 
Learning biologically relevant features using convolutional neural networks f...
Learning biologically relevant features using convolutional neural networks f...Learning biologically relevant features using convolutional neural networks f...
Learning biologically relevant features using convolutional neural networks f...
 
Towards reading genomic data using deep learning-driven NLP techniques
Towards reading genomic data using deep learning-driven NLP techniquesTowards reading genomic data using deep learning-driven NLP techniques
Towards reading genomic data using deep learning-driven NLP techniques
 
GUGC Info Session - Informatics and Bioinformatics
GUGC Info Session - Informatics and BioinformaticsGUGC Info Session - Informatics and Bioinformatics
GUGC Info Session - Informatics and Bioinformatics
 
Ghent University Global Campus - Sungkyunkwan University: Workshop on Researc...
Ghent University Global Campus - Sungkyunkwan University: Workshop on Researc...Ghent University Global Campus - Sungkyunkwan University: Workshop on Researc...
Ghent University Global Campus - Sungkyunkwan University: Workshop on Researc...
 
Ghent University and GUGC-K: Overview of Teaching and Research Activities
Ghent University and GUGC-K: Overview of Teaching and Research ActivitiesGhent University and GUGC-K: Overview of Teaching and Research Activities
Ghent University and GUGC-K: Overview of Teaching and Research Activities
 
Biotech Data Science @ GUGC in Korea: Deep Learning for Prediction of Drug-Ta...
Biotech Data Science @ GUGC in Korea: Deep Learning for Prediction of Drug-Ta...Biotech Data Science @ GUGC in Korea: Deep Learning for Prediction of Drug-Ta...
Biotech Data Science @ GUGC in Korea: Deep Learning for Prediction of Drug-Ta...
 
Exploring Deep Machine Learning for Automatic Right Whale Recognition and No...
 Exploring Deep Machine Learning for Automatic Right Whale Recognition and No... Exploring Deep Machine Learning for Automatic Right Whale Recognition and No...
Exploring Deep Machine Learning for Automatic Right Whale Recognition and No...
 
Deep Machine Learning for Automating Biotech Tasks Through Self-Learning Expe...
Deep Machine Learning for Automating Biotech Tasks Through Self-Learning Expe...Deep Machine Learning for Automating Biotech Tasks Through Self-Learning Expe...
Deep Machine Learning for Automating Biotech Tasks Through Self-Learning Expe...
 
Towards using multimedia technology for biological data processing
Towards using multimedia technology for biological data processingTowards using multimedia technology for biological data processing
Towards using multimedia technology for biological data processing
 
Multimedia Lab @ Ghent University - iMinds - Organizational Overview & Outlin...
Multimedia Lab @ Ghent University - iMinds - Organizational Overview & Outlin...Multimedia Lab @ Ghent University - iMinds - Organizational Overview & Outlin...
Multimedia Lab @ Ghent University - iMinds - Organizational Overview & Outlin...
 
Towards Twitter hashtag recommendation using distributed word representations...
Towards Twitter hashtag recommendation using distributed word representations...Towards Twitter hashtag recommendation using distributed word representations...
Towards Twitter hashtag recommendation using distributed word representations...
 

Recently uploaded

+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Recently uploaded (20)

The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 

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

  • 1. Background Information & Suggestions for Joint Research Topics IVY Lab & MMLab Wesley De Neve ICU, Daejeon, South Korea September 2007
  • 2. 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
  • 3. I was born... • on May the 31st, 1980 • in Ghent – 233,120 inhabitants Ghent http://en.wikipedia.org/wiki/Ghent
  • 4. I am living... • in Aalter – a city close to Ghent – 18,841 inhabitants
  • 5. 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
  • 6. 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/
  • 7. 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
  • 8. 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
  • 9. 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
  • 10. 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
  • 11. 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
  • 12. 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
  • 13. 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
  • 14. 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)
  • 15. 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...
  • 16. 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, ...?
  • 17. 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