SlideShare a Scribd company logo
1 of 27
Introduction  Principles of Multimedia Systems Sethserey SAM Computer Science Department
`
Multimedia System ,[object Object],[object Object],[object Object]
Challenges of Multimedia Computing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Multimedia is Multidisciplinary Image, audio, speech processing Computer vision, pattern recognition Computer networks, operating system Human computer  interaction Computer graphics Multimedia computing
Example Multimedia Systems  Real Estate  in MIT’s Project Athena
Example Multimedia Systems Chronoscope  in MIT’s Project Athena
Example Multimedia Systems Navigation   Learning Environment  in MIT’s Project Athena
Example Multimedia Systems Photosynth of Microsoft Live Labs.
Multimedia Computing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Data Compression Raw image takes about 6M bytes (without header information) 24k bytes with jpeg, Q=50
“JPEG” Illustration r g b Transform to frequency domain Quantization Lossless compression … 0010001 …. decoder r’ g’ b’ u v
Media Processing and Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Tracking Object by Image Matching
Multiple Object Tracking  Toys Squash Lab Double Squash
Finding Objects in Clutter
Object Recognition David G. Lowe,  "Object recognition from local scale-invariant features,"  ICCV99.
Posture Detection in Images Template Image
Dealing with Multiple Objects
 
Finding Action Clusters in Image Database
Finding Action Clusters (con’t)
Action Recognition video1 video2 Ramanan, D., Forsyth, D. A., Zisserman, A. " Strike a Pose: Tracking People by Finding Stylized Poses. "  Computer Vision and Pattern Recognition  (CVPR), San Diego, CA, June 2005. video3
Media Delivery ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multimedia Database and Indexing ,[object Object],[object Object],[object Object]
Useful Resources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Q & A

More Related Content

What's hot

Cloud-Based Multimedia Content Protection System
Cloud-Based   Multimedia   Content  Protection  SystemCloud-Based   Multimedia   Content  Protection  System
Cloud-Based Multimedia Content Protection Systemreshma reshu
 
Machine Learning Meetup SOF: Intro to ML
Machine Learning Meetup SOF: Intro to MLMachine Learning Meetup SOF: Intro to ML
Machine Learning Meetup SOF: Intro to MLImagga Technology
 
A robust watermarking algorithm based on image normalization and dc coefficients
A robust watermarking algorithm based on image normalization and dc coefficientsA robust watermarking algorithm based on image normalization and dc coefficients
A robust watermarking algorithm based on image normalization and dc coefficientsHarshal Ladhe
 
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...eswcsummerschool
 
KIoT - Kit for the internet of things
KIoT - Kit for the internet of thingsKIoT - Kit for the internet of things
KIoT - Kit for the internet of thingscarlo zapponi
 
Internet of Things: Concepts and Technologies
Internet of Things: Concepts and TechnologiesInternet of Things: Concepts and Technologies
Internet of Things: Concepts and TechnologiesPayamBarnaghi
 
An Approach for Securing Voice Communication via Image Watermarking Technique
An Approach for Securing Voice Communication via Image Watermarking TechniqueAn Approach for Securing Voice Communication via Image Watermarking Technique
An Approach for Securing Voice Communication via Image Watermarking TechniqueCSCJournals
 
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
IoT-Lite:  A Lightweight Semantic Model for the Internet of ThingsIoT-Lite:  A Lightweight Semantic Model for the Internet of Things
IoT-Lite: A Lightweight Semantic Model for the Internet of ThingsPayamBarnaghi
 

What's hot (9)

Cloud-Based Multimedia Content Protection System
Cloud-Based   Multimedia   Content  Protection  SystemCloud-Based   Multimedia   Content  Protection  System
Cloud-Based Multimedia Content Protection System
 
Machine Learning Meetup SOF: Intro to ML
Machine Learning Meetup SOF: Intro to MLMachine Learning Meetup SOF: Intro to ML
Machine Learning Meetup SOF: Intro to ML
 
A robust watermarking algorithm based on image normalization and dc coefficients
A robust watermarking algorithm based on image normalization and dc coefficientsA robust watermarking algorithm based on image normalization and dc coefficients
A robust watermarking algorithm based on image normalization and dc coefficients
 
Mc 004
Mc 004Mc 004
Mc 004
 
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
ESWC SS 2013 - Monday Keynote Stefan Decker: From Linked Data to Networked Kn...
 
KIoT - Kit for the internet of things
KIoT - Kit for the internet of thingsKIoT - Kit for the internet of things
KIoT - Kit for the internet of things
 
Internet of Things: Concepts and Technologies
Internet of Things: Concepts and TechnologiesInternet of Things: Concepts and Technologies
Internet of Things: Concepts and Technologies
 
An Approach for Securing Voice Communication via Image Watermarking Technique
An Approach for Securing Voice Communication via Image Watermarking TechniqueAn Approach for Securing Voice Communication via Image Watermarking Technique
An Approach for Securing Voice Communication via Image Watermarking Technique
 
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
IoT-Lite:  A Lightweight Semantic Model for the Internet of ThingsIoT-Lite:  A Lightweight Semantic Model for the Internet of Things
IoT-Lite: A Lightweight Semantic Model for the Internet of Things
 

Similar to Introduction

Multimediaexercise
MultimediaexerciseMultimediaexercise
MultimediaexerciseRony Mohamed
 
Emerging database technology multimedia database
Emerging database technology   multimedia databaseEmerging database technology   multimedia database
Emerging database technology multimedia databaseSalama Al Busaidi
 
AI-MiguelGonzalez.pdf
AI-MiguelGonzalez.pdfAI-MiguelGonzalez.pdf
AI-MiguelGonzalez.pdfFIWARE
 
Chapter 1-Introduction to Media-Past, Present and Future.ppt
Chapter 1-Introduction to Media-Past, Present and Future.pptChapter 1-Introduction to Media-Past, Present and Future.ppt
Chapter 1-Introduction to Media-Past, Present and Future.pptVasanthiMuniasamy2
 
VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...
VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...
VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...Keiichiro Ono
 
Intrusive Images, Neural Mechanisms, And Treatment...
Intrusive Images, Neural Mechanisms, And Treatment...Intrusive Images, Neural Mechanisms, And Treatment...
Intrusive Images, Neural Mechanisms, And Treatment...Angie Lee
 
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...Yael Garten
 
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...Shirshanka Das
 
Science Big, Science Connected
Science Big, Science ConnectedScience Big, Science Connected
Science Big, Science ConnectedDeepak Singh
 
DIP Using Image Encryption and XOR Operation Affine Transform
DIP Using Image Encryption and XOR Operation Affine TransformDIP Using Image Encryption and XOR Operation Affine Transform
DIP Using Image Encryption and XOR Operation Affine Transformiosrjce
 
Redundancy avoidance for big data in data centers a conventional neural netwo...
Redundancy avoidance for big data in data centers a conventional neural netwo...Redundancy avoidance for big data in data centers a conventional neural netwo...
Redundancy avoidance for big data in data centers a conventional neural netwo...nexgentechnology
 
Evaluation Of Proposed Design And Necessary Corrective Action
Evaluation Of Proposed Design And Necessary Corrective ActionEvaluation Of Proposed Design And Necessary Corrective Action
Evaluation Of Proposed Design And Necessary Corrective ActionSandra Arveseth
 

Similar to Introduction (20)

Multimediaexercise
MultimediaexerciseMultimediaexercise
Multimediaexercise
 
Emerging database technology multimedia database
Emerging database technology   multimedia databaseEmerging database technology   multimedia database
Emerging database technology multimedia database
 
Unit 1
Unit 1Unit 1
Unit 1
 
AI-MiguelGonzalez.pdf
AI-MiguelGonzalez.pdfAI-MiguelGonzalez.pdf
AI-MiguelGonzalez.pdf
 
Guru_poster
Guru_posterGuru_poster
Guru_poster
 
Chapter 1-Introduction to Media-Past, Present and Future.ppt
Chapter 1-Introduction to Media-Past, Present and Future.pptChapter 1-Introduction to Media-Past, Present and Future.ppt
Chapter 1-Introduction to Media-Past, Present and Future.ppt
 
2018 learning approach-digitaltrends
2018 learning approach-digitaltrends2018 learning approach-digitaltrends
2018 learning approach-digitaltrends
 
VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...
VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...
VIZBI 2015 Tutorial: Cytoscape, IPython, Docker, and Reproducible Network Dat...
 
Intrusive Images, Neural Mechanisms, And Treatment...
Intrusive Images, Neural Mechanisms, And Treatment...Intrusive Images, Neural Mechanisms, And Treatment...
Intrusive Images, Neural Mechanisms, And Treatment...
 
Emerging Technologies 3.0
Emerging Technologies 3.0Emerging Technologies 3.0
Emerging Technologies 3.0
 
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
Building a healthy data ecosystem around Kafka and Hadoop: Lessons learned at...
 
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
Strata 2017 (San Jose): Building a healthy data ecosystem around Kafka and Ha...
 
Science Big, Science Connected
Science Big, Science ConnectedScience Big, Science Connected
Science Big, Science Connected
 
Information_Systems
Information_SystemsInformation_Systems
Information_Systems
 
B017250715
B017250715B017250715
B017250715
 
DIP Using Image Encryption and XOR Operation Affine Transform
DIP Using Image Encryption and XOR Operation Affine TransformDIP Using Image Encryption and XOR Operation Affine Transform
DIP Using Image Encryption and XOR Operation Affine Transform
 
Deep dive in to modern it technology
Deep dive in to modern it technologyDeep dive in to modern it technology
Deep dive in to modern it technology
 
Redundancy avoidance for big data in data centers a conventional neural netwo...
Redundancy avoidance for big data in data centers a conventional neural netwo...Redundancy avoidance for big data in data centers a conventional neural netwo...
Redundancy avoidance for big data in data centers a conventional neural netwo...
 
Interaction Paradigms
Interaction ParadigmsInteraction Paradigms
Interaction Paradigms
 
Evaluation Of Proposed Design And Necessary Corrective Action
Evaluation Of Proposed Design And Necessary Corrective ActionEvaluation Of Proposed Design And Necessary Corrective Action
Evaluation Of Proposed Design And Necessary Corrective Action
 

More from Kh Ravy

7. evalution of interactive system
7. evalution of interactive system7. evalution of interactive system
7. evalution of interactive systemKh Ravy
 
6. io device
6. io device6. io device
6. io deviceKh Ravy
 
5. ergonomic of www interface
5. ergonomic of www interface5. ergonomic of www interface
5. ergonomic of www interfaceKh Ravy
 
4. ergonomic of wimp interface
4. ergonomic of wimp interface4. ergonomic of wimp interface
4. ergonomic of wimp interfaceKh Ravy
 
Planification de projet de gestion de concours
Planification de  projet  de gestion de concoursPlanification de  projet  de gestion de concours
Planification de projet de gestion de concoursKh Ravy
 
Multimedia outline
Multimedia outlineMultimedia outline
Multimedia outlineKh Ravy
 
Concept ofinternet web_f2010211
Concept ofinternet web_f2010211Concept ofinternet web_f2010211
Concept ofinternet web_f2010211Kh Ravy
 

More from Kh Ravy (9)

Love u
Love uLove u
Love u
 
7. evalution of interactive system
7. evalution of interactive system7. evalution of interactive system
7. evalution of interactive system
 
6. io device
6. io device6. io device
6. io device
 
5. ergonomic of www interface
5. ergonomic of www interface5. ergonomic of www interface
5. ergonomic of www interface
 
4. ergonomic of wimp interface
4. ergonomic of wimp interface4. ergonomic of wimp interface
4. ergonomic of wimp interface
 
Planification de projet de gestion de concours
Planification de  projet  de gestion de concoursPlanification de  projet  de gestion de concours
Planification de projet de gestion de concours
 
Lec2
Lec2Lec2
Lec2
 
Multimedia outline
Multimedia outlineMultimedia outline
Multimedia outline
 
Concept ofinternet web_f2010211
Concept ofinternet web_f2010211Concept ofinternet web_f2010211
Concept ofinternet web_f2010211
 

Recently uploaded

TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024Stephen Perrenod
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jNeo4j
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxJennifer Lim
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceSamy Fodil
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfFIDO Alliance
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessUXDXConf
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform EngineeringMarcus Vechiato
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfFIDO Alliance
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...marcuskenyatta275
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Hiroshi SHIBATA
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...CzechDreamin
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...CzechDreamin
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty SecureFemke de Vroome
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Patrick Viafore
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfSrushith Repakula
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...FIDO Alliance
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024Stephanie Beckett
 
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties ReimaginedEasier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties Reimaginedpanagenda
 

Recently uploaded (20)

TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4j
 
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptxWSO2CONMay2024OpenSourceConferenceDebrief.pptx
WSO2CONMay2024OpenSourceConferenceDebrief.pptx
 
WebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM PerformanceWebAssembly is Key to Better LLM Performance
WebAssembly is Key to Better LLM Performance
 
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdfWhere to Learn More About FDO _ Richard at FIDO Alliance.pdf
Where to Learn More About FDO _ Richard at FIDO Alliance.pdf
 
Structuring Teams and Portfolios for Success
Structuring Teams and Portfolios for SuccessStructuring Teams and Portfolios for Success
Structuring Teams and Portfolios for Success
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform Engineering
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
Behind the Scenes From the Manager's Chair: Decoding the Secrets of Successfu...
 
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
Integrating Telephony Systems with Salesforce: Insights and Considerations, B...
 
ECS 2024 Teams Premium - Pretty Secure
ECS 2024   Teams Premium - Pretty SecureECS 2024   Teams Premium - Pretty Secure
ECS 2024 Teams Premium - Pretty Secure
 
Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024Extensible Python: Robustness through Addition - PyCon 2024
Extensible Python: Robustness through Addition - PyCon 2024
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
ASRock Industrial FDO Solutions in Action for Industrial Edge AI _ Kenny at A...
 
What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024What's New in Teams Calling, Meetings and Devices April 2024
What's New in Teams Calling, Meetings and Devices April 2024
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties ReimaginedEasier, Faster, and More Powerful – Notes Document Properties Reimagined
Easier, Faster, and More Powerful – Notes Document Properties Reimagined
 

Introduction