SlideShare ist ein Scribd-Unternehmen logo
1 von 16
Ralf Klamma , Marc Spaniol  Mathias Lux RWTH Aachen University  University of Klagenfurt http://www.multimedia-metadata.info I-Media 2007 Graz, September 7, 2007 ImageSemantics  :  User-Generated Metadata,  Content-Based Retrieval & Beyond
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Flickr.com  ,[object Object],[object Object],Tags: gardenia, green Very dífferent results
Caliph & Emir ,[object Object],[object Object],Visualization of  low-level features Not very similar
Web 2.0 Image Mining: ImageSemantics ,[object Object]
Problem Definition (Image Mining) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Multimedia semantics as rule-based system }
Requirements ,[object Object],[object Object],[object Object],[object Object]
State-of-the-Art ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rule Component Data Management  Maschine Learning OWL Representation XML Database Reasoner Testing
MPEG-7 Feature Descriptors ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rule Extraction Algorithm Clustering for  low-level features Training data Sub rule extraction for  low-level features Clustering for tags in the  low-level cluster Sub rule extraction for tags Complete rule extraction
OWL Rule Representation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0 100
OWL Representation of Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],centroid Low-level Cluster max. Distance min. Distance
OWL Representation of Rules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Lowlevel_A_TagContent_Cluster
Representation of Rules in  First Order Logic ,[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusions & Outlook ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Ähnlich wie User-Generated Metadata, Content-Based Retrieval and Beyond in Image Semantics

Boosting Documents in Solr by Recency, Popularity, and User Preferences
Boosting Documents in Solr by Recency, Popularity, and User PreferencesBoosting Documents in Solr by Recency, Popularity, and User Preferences
Boosting Documents in Solr by Recency, Popularity, and User PreferencesLucidworks (Archived)
 
Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...
Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...
Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...lucenerevolution
 
RDFa-deployed Multimedia Metadata - Tutorial, Part 3
RDFa-deployed Multimedia Metadata - Tutorial, Part 3RDFa-deployed Multimedia Metadata - Tutorial, Part 3
RDFa-deployed Multimedia Metadata - Tutorial, Part 3Michael Hausenblas
 
Rails3 for Rails2 developers
Rails3 for Rails2 developersRails3 for Rails2 developers
Rails3 for Rails2 developersalkeshv
 
SPARQLing Services
SPARQLing ServicesSPARQLing Services
SPARQLing ServicesLeigh Dodds
 
Using Rails to Create an Enterprise App: A Real-Life Case Study
Using Rails to Create an Enterprise App: A Real-Life Case StudyUsing Rails to Create an Enterprise App: A Real-Life Case Study
Using Rails to Create an Enterprise App: A Real-Life Case StudyDavid Keener
 
WordPress Standardized Loop API
WordPress Standardized Loop APIWordPress Standardized Loop API
WordPress Standardized Loop APIChris Jean
 
Sonar - the ring to rule them all
Sonar - the ring to rule them allSonar - the ring to rule them all
Sonar - the ring to rule them allSebastian Marek
 
(WEB301) Operational Web Log Analysis | AWS re:Invent 2014
(WEB301) Operational Web Log Analysis | AWS re:Invent 2014(WEB301) Operational Web Log Analysis | AWS re:Invent 2014
(WEB301) Operational Web Log Analysis | AWS re:Invent 2014Amazon Web Services
 
Catacomb Apachecon Fast Feather 2008
Catacomb Apachecon Fast Feather 2008Catacomb Apachecon Fast Feather 2008
Catacomb Apachecon Fast Feather 2008Markus Litz
 
Create a web-app with Cgi Appplication
Create a web-app with Cgi AppplicationCreate a web-app with Cgi Appplication
Create a web-app with Cgi Appplicationolegmmiller
 
Back to basics: Simple database web services without the need for SOA
Back to basics: Simple database web services without the need for SOABack to basics: Simple database web services without the need for SOA
Back to basics: Simple database web services without the need for SOASage Computing Services
 
Great APIs - Future of Your Progress App
Great APIs - Future of Your Progress AppGreat APIs - Future of Your Progress App
Great APIs - Future of Your Progress AppGabriel Lucaciu
 
Semantic Web
Semantic WebSemantic Web
Semantic Webhardchiu
 
Hypermedia System Architecture for a Web of Things
Hypermedia System Architecture for a Web of ThingsHypermedia System Architecture for a Web of Things
Hypermedia System Architecture for a Web of ThingsMichael Koster
 

Ähnlich wie User-Generated Metadata, Content-Based Retrieval and Beyond in Image Semantics (20)

Boosting Documents in Solr by Recency, Popularity, and User Preferences
Boosting Documents in Solr by Recency, Popularity, and User PreferencesBoosting Documents in Solr by Recency, Popularity, and User Preferences
Boosting Documents in Solr by Recency, Popularity, and User Preferences
 
Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...
Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...
Boosting Documents in Solr by Recency, Popularity and Personal Preferences - ...
 
RDFa-deployed Multimedia Metadata - Tutorial, Part 3
RDFa-deployed Multimedia Metadata - Tutorial, Part 3RDFa-deployed Multimedia Metadata - Tutorial, Part 3
RDFa-deployed Multimedia Metadata - Tutorial, Part 3
 
multimedia
multimediamultimedia
multimedia
 
Rails3 for Rails2 developers
Rails3 for Rails2 developersRails3 for Rails2 developers
Rails3 for Rails2 developers
 
SPARQLing Services
SPARQLing ServicesSPARQLing Services
SPARQLing Services
 
Using Rails to Create an Enterprise App: A Real-Life Case Study
Using Rails to Create an Enterprise App: A Real-Life Case StudyUsing Rails to Create an Enterprise App: A Real-Life Case Study
Using Rails to Create an Enterprise App: A Real-Life Case Study
 
WordPress Standardized Loop API
WordPress Standardized Loop APIWordPress Standardized Loop API
WordPress Standardized Loop API
 
Sonar - the ring to rule them all
Sonar - the ring to rule them allSonar - the ring to rule them all
Sonar - the ring to rule them all
 
(WEB301) Operational Web Log Analysis | AWS re:Invent 2014
(WEB301) Operational Web Log Analysis | AWS re:Invent 2014(WEB301) Operational Web Log Analysis | AWS re:Invent 2014
(WEB301) Operational Web Log Analysis | AWS re:Invent 2014
 
Catacomb Apachecon Fast Feather 2008
Catacomb Apachecon Fast Feather 2008Catacomb Apachecon Fast Feather 2008
Catacomb Apachecon Fast Feather 2008
 
Create a web-app with Cgi Appplication
Create a web-app with Cgi AppplicationCreate a web-app with Cgi Appplication
Create a web-app with Cgi Appplication
 
tutorial2-notes2
tutorial2-notes2tutorial2-notes2
tutorial2-notes2
 
tutorial2-notes2
tutorial2-notes2tutorial2-notes2
tutorial2-notes2
 
Back to basics: Simple database web services without the need for SOA
Back to basics: Simple database web services without the need for SOABack to basics: Simple database web services without the need for SOA
Back to basics: Simple database web services without the need for SOA
 
Hppg
HppgHppg
Hppg
 
Great APIs - Future of Your Progress App
Great APIs - Future of Your Progress AppGreat APIs - Future of Your Progress App
Great APIs - Future of Your Progress App
 
Semantic Web
Semantic WebSemantic Web
Semantic Web
 
Rails 3
Rails 3Rails 3
Rails 3
 
Hypermedia System Architecture for a Web of Things
Hypermedia System Architecture for a Web of ThingsHypermedia System Architecture for a Web of Things
Hypermedia System Architecture for a Web of Things
 

Mehr von Ralf Klamma

An Augmented Reality Framework for Gamified Learning
An Augmented Reality Framework for Gamified LearningAn Augmented Reality Framework for Gamified Learning
An Augmented Reality Framework for Gamified LearningRalf Klamma
 
The Legacy of ROLE - Where are we at the workplace?
The Legacy of ROLE - Where are we at the workplace?The Legacy of ROLE - Where are we at the workplace?
The Legacy of ROLE - Where are we at the workplace?Ralf Klamma
 
Gamification of Community Information Systems
Gamification of Community Information SystemsGamification of Community Information Systems
Gamification of Community Information SystemsRalf Klamma
 
The Legacy and the Future of Research Networks in Technology-Enhanced Learning
The Legacy and the Future of Research Networks in Technology-Enhanced LearningThe Legacy and the Future of Research Networks in Technology-Enhanced Learning
The Legacy and the Future of Research Networks in Technology-Enhanced LearningRalf Klamma
 
DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...
DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...
DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...Ralf Klamma
 
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...Learning Analytics: Trends and Issues of the Empirical Research of the Years ...
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...Ralf Klamma
 
A Short Swim through the Personal Learning Pool
A Short Swim through the Personal Learning PoolA Short Swim through the Personal Learning Pool
A Short Swim through the Personal Learning PoolRalf Klamma
 
Scaling up digital learning support for smart workforce development in cluste...
Scaling up digital learning support for smart workforce development in cluste...Scaling up digital learning support for smart workforce development in cluste...
Scaling up digital learning support for smart workforce development in cluste...Ralf Klamma
 
Scaling Community Information Systems
Scaling Community Information SystemsScaling Community Information Systems
Scaling Community Information SystemsRalf Klamma
 
Technical Challenges for Realizing Learning Analytics
Technical Challenges for Realizing Learning AnalyticsTechnical Challenges for Realizing Learning Analytics
Technical Challenges for Realizing Learning AnalyticsRalf Klamma
 
Technology-Enhanced Learning at the Workplace – From islands of automation to...
Technology-Enhanced Learning at the Workplace – From islands of automation to...Technology-Enhanced Learning at the Workplace – From islands of automation to...
Technology-Enhanced Learning at the Workplace – From islands of automation to...Ralf Klamma
 
ACIS Annual Report 2014
ACIS Annual Report 2014ACIS Annual Report 2014
ACIS Annual Report 2014Ralf Klamma
 
Blueprint for Software Engineering in Technology Enhanced Learning Projects
Blueprint for Software Engineering in Technology Enhanced Learning ProjectsBlueprint for Software Engineering in Technology Enhanced Learning Projects
Blueprint for Software Engineering in Technology Enhanced Learning ProjectsRalf Klamma
 
Navigation Support in Evolving Communities by a Web-based Dashboard
Navigation Support in Evolving Communities by a Web-based DashboardNavigation Support in Evolving Communities by a Web-based Dashboard
Navigation Support in Evolving Communities by a Web-based DashboardRalf Klamma
 
Community Learning Analytics – A New Research Field in TEL
Community Learning Analytics – A New Research Field in TELCommunity Learning Analytics – A New Research Field in TEL
Community Learning Analytics – A New Research Field in TELRalf Klamma
 
Do Mechanical Turks Dream of Big Data?
Do Mechanical Turks Dream of Big Data?Do Mechanical Turks Dream of Big Data?
Do Mechanical Turks Dream of Big Data?Ralf Klamma
 
Advanced Community Information Systems Group (ACIS) Annual Report 2013
Advanced Community Information Systems Group (ACIS) Annual Report 2013Advanced Community Information Systems Group (ACIS) Annual Report 2013
Advanced Community Information Systems Group (ACIS) Annual Report 2013Ralf Klamma
 
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...Ralf Klamma
 
Keynote Learning Layers Developer Camp 2013
Keynote Learning Layers Developer Camp 2013Keynote Learning Layers Developer Camp 2013
Keynote Learning Layers Developer Camp 2013Ralf Klamma
 
Supporting Professional Communities in the Next Web
Supporting Professional Communities in the Next Web Supporting Professional Communities in the Next Web
Supporting Professional Communities in the Next Web Ralf Klamma
 

Mehr von Ralf Klamma (20)

An Augmented Reality Framework for Gamified Learning
An Augmented Reality Framework for Gamified LearningAn Augmented Reality Framework for Gamified Learning
An Augmented Reality Framework for Gamified Learning
 
The Legacy of ROLE - Where are we at the workplace?
The Legacy of ROLE - Where are we at the workplace?The Legacy of ROLE - Where are we at the workplace?
The Legacy of ROLE - Where are we at the workplace?
 
Gamification of Community Information Systems
Gamification of Community Information SystemsGamification of Community Information Systems
Gamification of Community Information Systems
 
The Legacy and the Future of Research Networks in Technology-Enhanced Learning
The Legacy and the Future of Research Networks in Technology-Enhanced LearningThe Legacy and the Future of Research Networks in Technology-Enhanced Learning
The Legacy and the Future of Research Networks in Technology-Enhanced Learning
 
DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...
DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...
DevOpsUse for Large-Scale Social Requirements Engineering @ SIG WELL - EC-TEL...
 
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...Learning Analytics: Trends and Issues of the Empirical Research of the Years ...
Learning Analytics: Trends and Issues of the Empirical Research of the Years ...
 
A Short Swim through the Personal Learning Pool
A Short Swim through the Personal Learning PoolA Short Swim through the Personal Learning Pool
A Short Swim through the Personal Learning Pool
 
Scaling up digital learning support for smart workforce development in cluste...
Scaling up digital learning support for smart workforce development in cluste...Scaling up digital learning support for smart workforce development in cluste...
Scaling up digital learning support for smart workforce development in cluste...
 
Scaling Community Information Systems
Scaling Community Information SystemsScaling Community Information Systems
Scaling Community Information Systems
 
Technical Challenges for Realizing Learning Analytics
Technical Challenges for Realizing Learning AnalyticsTechnical Challenges for Realizing Learning Analytics
Technical Challenges for Realizing Learning Analytics
 
Technology-Enhanced Learning at the Workplace – From islands of automation to...
Technology-Enhanced Learning at the Workplace – From islands of automation to...Technology-Enhanced Learning at the Workplace – From islands of automation to...
Technology-Enhanced Learning at the Workplace – From islands of automation to...
 
ACIS Annual Report 2014
ACIS Annual Report 2014ACIS Annual Report 2014
ACIS Annual Report 2014
 
Blueprint for Software Engineering in Technology Enhanced Learning Projects
Blueprint for Software Engineering in Technology Enhanced Learning ProjectsBlueprint for Software Engineering in Technology Enhanced Learning Projects
Blueprint for Software Engineering in Technology Enhanced Learning Projects
 
Navigation Support in Evolving Communities by a Web-based Dashboard
Navigation Support in Evolving Communities by a Web-based DashboardNavigation Support in Evolving Communities by a Web-based Dashboard
Navigation Support in Evolving Communities by a Web-based Dashboard
 
Community Learning Analytics – A New Research Field in TEL
Community Learning Analytics – A New Research Field in TELCommunity Learning Analytics – A New Research Field in TEL
Community Learning Analytics – A New Research Field in TEL
 
Do Mechanical Turks Dream of Big Data?
Do Mechanical Turks Dream of Big Data?Do Mechanical Turks Dream of Big Data?
Do Mechanical Turks Dream of Big Data?
 
Advanced Community Information Systems Group (ACIS) Annual Report 2013
Advanced Community Information Systems Group (ACIS) Annual Report 2013Advanced Community Information Systems Group (ACIS) Annual Report 2013
Advanced Community Information Systems Group (ACIS) Annual Report 2013
 
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...
Community Learning Analytics - Challenges and Opportunities - ICWL 2013 Invit...
 
Keynote Learning Layers Developer Camp 2013
Keynote Learning Layers Developer Camp 2013Keynote Learning Layers Developer Camp 2013
Keynote Learning Layers Developer Camp 2013
 
Supporting Professional Communities in the Next Web
Supporting Professional Communities in the Next Web Supporting Professional Communities in the Next Web
Supporting Professional Communities in the Next Web
 

Kürzlich hochgeladen

From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Ryan Mahoney - Will Artificial Intelligence Replace Real Estate Agents
Ryan Mahoney - Will Artificial Intelligence Replace Real Estate AgentsRyan Mahoney - Will Artificial Intelligence Replace Real Estate Agents
Ryan Mahoney - Will Artificial Intelligence Replace Real Estate AgentsRyan Mahoney
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfLoriGlavin3
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rick Flair
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 

Kürzlich hochgeladen (20)

From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Ryan Mahoney - Will Artificial Intelligence Replace Real Estate Agents
Ryan Mahoney - Will Artificial Intelligence Replace Real Estate AgentsRyan Mahoney - Will Artificial Intelligence Replace Real Estate Agents
Ryan Mahoney - Will Artificial Intelligence Replace Real Estate Agents
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Moving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdfMoving Beyond Passwords: FIDO Paris Seminar.pdf
Moving Beyond Passwords: FIDO Paris Seminar.pdf
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...Rise of the Machines: Known As Drones...
Rise of the Machines: Known As Drones...
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 

User-Generated Metadata, Content-Based Retrieval and Beyond in Image Semantics

  • 1. Ralf Klamma , Marc Spaniol Mathias Lux RWTH Aachen University University of Klagenfurt http://www.multimedia-metadata.info I-Media 2007 Graz, September 7, 2007 ImageSemantics : User-Generated Metadata, Content-Based Retrieval & Beyond
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Rule Component Data Management Maschine Learning OWL Representation XML Database Reasoner Testing
  • 10.
  • 11. Rule Extraction Algorithm Clustering for low-level features Training data Sub rule extraction for low-level features Clustering for tags in the low-level cluster Sub rule extraction for tags Complete rule extraction
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.

Hinweis der Redaktion

  1. ,