Short and high level intro to the concept of computer vision with OpenCV for "Visualizing cultural collections" class at Potsdam University of Applied Sciences (FHP). Targeted at designers who are new to coding.
Eskişehir Osmangazi Üniversitesi, Mühendislik-Mimarlık Fakültesi, Bilgisayar Mühendisliği, Advanced Programming. Face Detection In Java by Using OpenCV Lİb.
The document discusses OpenCV and its suitability for image processing on Android devices, noting that OpenCV is an open source library for computer vision and image processing that allows treating images as matrices and provides functions for tasks like blurring, edge detection, and object recognition; it provides an overview of some key OpenCV classes for Android and approaches for building image processing applications using OpenCV on Android.
This document provides an overview of OpenCV, an open source library for computer vision, image processing and machine learning. It discusses OpenCV's history and capabilities. It also outlines how to set up an Android development environment for OpenCV and covers topics like basic image processing, real-time video, face detection and color detection applications. Sample code is provided for loading and processing images and video from the device.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-opencv
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Gary Bradski, President and CEO of the OpenCV Foundation, presents the "The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?" tutorial at the May 2016 Embedded Vision Summit.
OpenCV is an enormously popular open source computer vision library, with over 14 million downloads expanding recently to 200K downloads per month. Originally used mainly for research and prototyping, in recent years OpenCV has increasingly been used in deployed products on a wide range of platforms from cloud to mobile. The latest version, OpenCV 3.1, was just released. The previous version, 3.0, was a major overhaul, bringing OpenCV up to modern C++ standards and incorporating expanded support for 3D vision and augmented reality. The new 3.1 release introduces support for deep neural networks, as well as new and improved algorithms for important functions such as calibration, optical flow, image filtering, segmentation and feature detection.
In this talk, Gary Bradski, head of the OpenCV Foundation, provides an insider’s perspective on the new version of OpenCV and how developers can utilize it to maximum advantage for vision research, prototyping, and product development. Gary also offers a sneak peek into where OpenCV is headed next.
This document discusses bringing OpenCV, an open source computer vision library, to Android. It outlines the prerequisites needed, including JDK, Android SDK and NDK, Eclipse IDE, and plugins. It describes the structure of the OpenCV4Android SDK and some possible applications, such as face detection, image tracking, and object detection. It provides examples of ideas to try, like using face detection to unlock a phone or track loyal customers at a cafe.
Face detection is an important part of computer vision and OpenCV provides algorithms to detect faces in images and video. The document discusses different face detection methods including knowledge-based, feature-based, template matching, and appearance-based. It also covers how to set up OpenCV in Python, read and display images, extract pixel values, and detect faces using Haar cascades which use Haar-like features to train a classifier to identify faces. Future applications of face detection with OpenCV include attendance systems, security, and more.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-mallick
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Satya Mallick, Interim CEO of OpenCV.org, presents the "OpenCV: Current Status and Future Plans" tutorial at the May 2019 Embedded Vision Summit.
With over two million downloads per week, OpenCV is the most popular open source computer vision library in the world. It implements over 2500 opt- imized algorithms, works on all major operating systems, is available in multiple languages and is free for commercial use.
This talk primarily provides a technical update on OpenCV: What’s new in OpenCV 4.0? What is the Graph API? Why are we so excited about the Deep Neural Network (DNN) module in OpenCV? (Short answer: It is one of the fastest inference engines on the CPU.)
Mallick also shares plans for the future of OpenCV, including new algorithms that the organization plans to add through the Google Summer of Code this year. And he briefly shares information on the new Open Source Vision Foundation (OSVF), on OpenCV’s sister organizations, CARLA and Open3D, and on some of the initiatives planned by these organizations.
Eskişehir Osmangazi Üniversitesi, Mühendislik-Mimarlık Fakültesi, Bilgisayar Mühendisliği, Advanced Programming. Face Detection In Java by Using OpenCV Lİb.
The document discusses OpenCV and its suitability for image processing on Android devices, noting that OpenCV is an open source library for computer vision and image processing that allows treating images as matrices and provides functions for tasks like blurring, edge detection, and object recognition; it provides an overview of some key OpenCV classes for Android and approaches for building image processing applications using OpenCV on Android.
This document provides an overview of OpenCV, an open source library for computer vision, image processing and machine learning. It discusses OpenCV's history and capabilities. It also outlines how to set up an Android development environment for OpenCV and covers topics like basic image processing, real-time video, face detection and color detection applications. Sample code is provided for loading and processing images and video from the device.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit-opencv
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Gary Bradski, President and CEO of the OpenCV Foundation, presents the "The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?" tutorial at the May 2016 Embedded Vision Summit.
OpenCV is an enormously popular open source computer vision library, with over 14 million downloads expanding recently to 200K downloads per month. Originally used mainly for research and prototyping, in recent years OpenCV has increasingly been used in deployed products on a wide range of platforms from cloud to mobile. The latest version, OpenCV 3.1, was just released. The previous version, 3.0, was a major overhaul, bringing OpenCV up to modern C++ standards and incorporating expanded support for 3D vision and augmented reality. The new 3.1 release introduces support for deep neural networks, as well as new and improved algorithms for important functions such as calibration, optical flow, image filtering, segmentation and feature detection.
In this talk, Gary Bradski, head of the OpenCV Foundation, provides an insider’s perspective on the new version of OpenCV and how developers can utilize it to maximum advantage for vision research, prototyping, and product development. Gary also offers a sneak peek into where OpenCV is headed next.
This document discusses bringing OpenCV, an open source computer vision library, to Android. It outlines the prerequisites needed, including JDK, Android SDK and NDK, Eclipse IDE, and plugins. It describes the structure of the OpenCV4Android SDK and some possible applications, such as face detection, image tracking, and object detection. It provides examples of ideas to try, like using face detection to unlock a phone or track loyal customers at a cafe.
Face detection is an important part of computer vision and OpenCV provides algorithms to detect faces in images and video. The document discusses different face detection methods including knowledge-based, feature-based, template matching, and appearance-based. It also covers how to set up OpenCV in Python, read and display images, extract pixel values, and detect faces using Haar cascades which use Haar-like features to train a classifier to identify faces. Future applications of face detection with OpenCV include attendance systems, security, and more.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-mallick
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Satya Mallick, Interim CEO of OpenCV.org, presents the "OpenCV: Current Status and Future Plans" tutorial at the May 2019 Embedded Vision Summit.
With over two million downloads per week, OpenCV is the most popular open source computer vision library in the world. It implements over 2500 opt- imized algorithms, works on all major operating systems, is available in multiple languages and is free for commercial use.
This talk primarily provides a technical update on OpenCV: What’s new in OpenCV 4.0? What is the Graph API? Why are we so excited about the Deep Neural Network (DNN) module in OpenCV? (Short answer: It is one of the fastest inference engines on the CPU.)
Mallick also shares plans for the future of OpenCV, including new algorithms that the organization plans to add through the Google Summer of Code this year. And he briefly shares information on the new Open Source Vision Foundation (OSVF), on OpenCV’s sister organizations, CARLA and Open3D, and on some of the initiatives planned by these organizations.
ImageJ2 is a new version of ImageJ for the next generation of multidimensional image data, with a focus on scientific imaging. Its central goal is to broaden the paradigm of ImageJ beyond the limitations of ImageJ 1.x, to support the next generation of multidimensional scientific imaging.
ImageJ2 is more than just an application: it is also a collection of reusable software libraries built on the SciJava software stack, using a powerful plugin framework to facilitate rapid development and painless user customization.
This talk provides an overview of the motivation behind the ImageJ2 project and related SciJava software projects, and quickly covers some of ImageJ2's current features.
Open source comes in many forms -- not just code. This slide deck covers some paradigms where one might not expect to see much open source, and hopefully inspire new projects and contributions. Included is a personal checklist I use to determine if a project is something I want to use and contribute to.
The Art Of Documentation for Open Source ProjectsBen Hall
Delivered at Kubecon US 2018 by Ben Hall. Watch the recording at https://www.youtube.com/embed/Yjxupg-NKnA
In this talk, Ben uses his expertise of building an Interactive Learning Platform to highlight The Art of Documentation. The aim of the talk is to help open source contributors understand how small changes to their documentation approach can have an enormous impact on how users get started.
Lift+fing 09 Michael Shiloh slides with notesmichaelshiloh
This document discusses decentralized design and production enabled by new technologies like 3D printers and laser cutters. OpenMoko, an open source mobile computing project, demonstrated how an online community can collaboratively design hardware. Now, services exist for rapid prototyping and small-run manufacturing. Free and open-source design software also allows more decentralized innovation. While mass production is still important, these techniques lower barriers and allow individuals and small groups to design, produce, modify and repair physical products themselves.
This document discusses open source software options for startups from the perspective of Victor Neo, a computer science student and CTO. It provides an introduction to Victor and his experience with startups and open source software. The document then discusses the cost savings and importance of people when using software. It provides an overview of common open source office, accounting, graphics, and development applications that startups can use. Examples are given of how Facebook, Twitter, and Victor's own company Pikaland have utilized open source software. The document encourages contributing back to open source communities and lists upcoming talks on related topics.
Coding is part of the curriculum which is relatively new and often a part which teachers struggle with. I have created a presentation to show resources which you might use to teach Year 5-6 students. Tasks can be adapted or modified for other year levels.
Building an Open Source iOS app: lessons learnedWojciech Koszek
Building an Open Source iOS app: lessons learned
Dec 12, 2016, Hacker Dojo (Santa Clara), 6pm
In this talk I'm going to talk about lessons learned from building Sensorama (http://www.sensorama.org), an Open Source sensor platform for data science. The main theme of the talk will be Open Source: what is great about it, what is bad and how you must become a part of the Open Source community to really move quickly and benefit from it. For this project, I did both the code and the design, so you'll have a chance to see how solo-developer deals with time/feature constraints, which tools I've used and what my approach towards development in this mode is. In other words: I'll tell you what I did to stay sane. If the iOS development were a walk in a dark city park, this talk may turn out to be your flashlight. If you like it, star it at GitHub: https://github.com/wkoszek/sensorama-ios
Agenda
https://www.meetup.com/svmobiledev/events/235836893/
Materials
https://github.com/wkoszek/talks/tree/master/svmobiledev2016
Some links from the slides
Fake it till you make it presentation https://developer.apple.com/videos/play/wwdc2014/223
Designing for Future Hardware https://developer.apple.com/videos/play/wwdc2015/801/
References
WWW: http://www.sensorama.org
GitHub (code): https://github.com/wkoszek/sensorama-ios
GitHub (artwork): https://github.com/wkoszek/sensorama-artwork
Author
WWW: http://www.koszek.com
Twitter: https://twitter.com/wkoszek
LinkedIn: https://www.linkedin.com/in/wkoszek/
Email: wojciech (at) koszek.com
Acquisition of audiovisual Scientific Technical Information from OSGeo: A wor...Peter Löwe
This document discusses the Technische Informationsbibliothek (TIB), Germany's largest science and technology library. It was founded in 1959 in response to the Sputnik crisis to provide scientific and technical information. The TIB has expanded its role and services beyond text to include audiovisual content, research data, and software in line with open science principles. It is exploring how to acquire and provide access to open source geospatial (OSGeo) audiovisual content through its TIB|AV portal in a sustainable way through practices like digital object identifiers and long-term preservation. Demonstrators show how the content could be used for thematic video blogging and community mind mapping.
The document discusses the next generation of APIs and the people who will build them. It argues that the most creative and impactful APIs will be conceived and built by the next generation of developers and engineers. These students are already incubating excellent ideas through hackathons and learning to code at a young age through tools like Scratch and Lego Mindstorms. Early engagement with technology through play, not just screens, helps children develop skills in creativity and collaboration that will serve them well as future API developers.
This document discusses how open source hardware can drive hardware innovation by allowing for the free exchange of ideas and leveraging the work of others. It outlines the typical hardware design process, from ideation to schematics to visualization to firmware/software. It provides an example product called "blink(1)" and discusses how open source tools can help with different stages like circuit design, 3D printing, and software/firmware. The document notes that while some challenges remain, open source can help get an idea to a functional prototype quickly and allow testing across different chip architectures more affordably. It encourages sharing work through blogs to engage makers and early adopters.
Code sprints are time-boxed periods focused on software development goals. They allow teams to build or learn something new, meet people, and work in small iterations. Effective sprints define goals, invite contributors, schedule on calendars, assign tasks, set up resources, write documentation, iterate in short cycles, take notes, train newcomers, recognize contributors, invite more people, and have fun while building consensus and doing what works. Potential challenges include special interests not communicating and failing to build consensus.
Introduction to Open Source Hardware, OSHWA and Open Hardware SummitDrew Fustini
The document provides an overview of open source hardware, including definitions of open source, examples like Arduino, required documentation for electronics projects, licenses, and resources like the Open Hardware Summit and Open Source Hardware Association. It discusses open hardware principles, certification, and the use of Linux on open hardware boards and single-board computers.
This document summarizes a presentation about Adopt OpenJDK, an initiative to improve the OpenJDK and Java. It discusses what OpenJDK is, the benefits of contributing to it, and how to get involved at different levels, from testing to more advanced work. The presenter encourages attendees to consider joining the effort to help advance the Java ecosystem. Slides and demos are provided during the presentation, and time is allocated at the end for questions, announcements and discussion.
This document discusses accessibility and how bringing people together to focus on removing barriers can help move accessibility forward in a meaningful way. It provides examples of how APIs, extensions, and hackathons that focus on understanding different barriers and building solutions can make the web more accessible and improve the experience for all users. The key is finding consensus to push accessibility efforts in the same direction rather than working against each other.
The 5th Annual Open Hardware Summit was held in Rome, Italy in 2014. It was organized by the Open Source Hardware Association to discuss the growing open hardware movement. Key topics included the Ada Lovelace Fellowship for women in open technology, workshops on open hardware manufacturing and licensing, and presentations from leaders in the field such as Adrian Bowyer of RepRap and Eric Pan of Seeed Studio. The Summit aimed to advance open sharing of hardware knowledge and collaboration on technology development.
Hardware Prototyping & Hyper Island for XD Meetup StockholmSune Kaae
Sune show how Hyper Island students used daily hardware prototyping with Littlebits and Arduino to drive 4 weeks of learning with connected IoT experiences
Programming the Real World: Javascript for Makerspchristensen
Hardware is becoming easier to design and manufacture, approaching the ease of software. This presentation:
- takes you on a tour of the changes in hardware
- a crash course in building circuits
- teaches the basics of using and programming Arduino
- introduces Javascript libraries for controlling hardware and robots
- how to get involved with hardware projects
If you'd like me to present this or similar content at your event, please contact me: peter at pchristensen dot com
ImageJ2 is a new version of ImageJ for the next generation of multidimensional image data, with a focus on scientific imaging. Its central goal is to broaden the paradigm of ImageJ beyond the limitations of ImageJ 1.x, to support the next generation of multidimensional scientific imaging.
ImageJ2 is more than just an application: it is also a collection of reusable software libraries built on the SciJava software stack, using a powerful plugin framework to facilitate rapid development and painless user customization.
This talk provides an overview of the motivation behind the ImageJ2 project and related SciJava software projects, and quickly covers some of ImageJ2's current features.
Open source comes in many forms -- not just code. This slide deck covers some paradigms where one might not expect to see much open source, and hopefully inspire new projects and contributions. Included is a personal checklist I use to determine if a project is something I want to use and contribute to.
The Art Of Documentation for Open Source ProjectsBen Hall
Delivered at Kubecon US 2018 by Ben Hall. Watch the recording at https://www.youtube.com/embed/Yjxupg-NKnA
In this talk, Ben uses his expertise of building an Interactive Learning Platform to highlight The Art of Documentation. The aim of the talk is to help open source contributors understand how small changes to their documentation approach can have an enormous impact on how users get started.
Lift+fing 09 Michael Shiloh slides with notesmichaelshiloh
This document discusses decentralized design and production enabled by new technologies like 3D printers and laser cutters. OpenMoko, an open source mobile computing project, demonstrated how an online community can collaboratively design hardware. Now, services exist for rapid prototyping and small-run manufacturing. Free and open-source design software also allows more decentralized innovation. While mass production is still important, these techniques lower barriers and allow individuals and small groups to design, produce, modify and repair physical products themselves.
This document discusses open source software options for startups from the perspective of Victor Neo, a computer science student and CTO. It provides an introduction to Victor and his experience with startups and open source software. The document then discusses the cost savings and importance of people when using software. It provides an overview of common open source office, accounting, graphics, and development applications that startups can use. Examples are given of how Facebook, Twitter, and Victor's own company Pikaland have utilized open source software. The document encourages contributing back to open source communities and lists upcoming talks on related topics.
Coding is part of the curriculum which is relatively new and often a part which teachers struggle with. I have created a presentation to show resources which you might use to teach Year 5-6 students. Tasks can be adapted or modified for other year levels.
Building an Open Source iOS app: lessons learnedWojciech Koszek
Building an Open Source iOS app: lessons learned
Dec 12, 2016, Hacker Dojo (Santa Clara), 6pm
In this talk I'm going to talk about lessons learned from building Sensorama (http://www.sensorama.org), an Open Source sensor platform for data science. The main theme of the talk will be Open Source: what is great about it, what is bad and how you must become a part of the Open Source community to really move quickly and benefit from it. For this project, I did both the code and the design, so you'll have a chance to see how solo-developer deals with time/feature constraints, which tools I've used and what my approach towards development in this mode is. In other words: I'll tell you what I did to stay sane. If the iOS development were a walk in a dark city park, this talk may turn out to be your flashlight. If you like it, star it at GitHub: https://github.com/wkoszek/sensorama-ios
Agenda
https://www.meetup.com/svmobiledev/events/235836893/
Materials
https://github.com/wkoszek/talks/tree/master/svmobiledev2016
Some links from the slides
Fake it till you make it presentation https://developer.apple.com/videos/play/wwdc2014/223
Designing for Future Hardware https://developer.apple.com/videos/play/wwdc2015/801/
References
WWW: http://www.sensorama.org
GitHub (code): https://github.com/wkoszek/sensorama-ios
GitHub (artwork): https://github.com/wkoszek/sensorama-artwork
Author
WWW: http://www.koszek.com
Twitter: https://twitter.com/wkoszek
LinkedIn: https://www.linkedin.com/in/wkoszek/
Email: wojciech (at) koszek.com
Acquisition of audiovisual Scientific Technical Information from OSGeo: A wor...Peter Löwe
This document discusses the Technische Informationsbibliothek (TIB), Germany's largest science and technology library. It was founded in 1959 in response to the Sputnik crisis to provide scientific and technical information. The TIB has expanded its role and services beyond text to include audiovisual content, research data, and software in line with open science principles. It is exploring how to acquire and provide access to open source geospatial (OSGeo) audiovisual content through its TIB|AV portal in a sustainable way through practices like digital object identifiers and long-term preservation. Demonstrators show how the content could be used for thematic video blogging and community mind mapping.
The document discusses the next generation of APIs and the people who will build them. It argues that the most creative and impactful APIs will be conceived and built by the next generation of developers and engineers. These students are already incubating excellent ideas through hackathons and learning to code at a young age through tools like Scratch and Lego Mindstorms. Early engagement with technology through play, not just screens, helps children develop skills in creativity and collaboration that will serve them well as future API developers.
This document discusses how open source hardware can drive hardware innovation by allowing for the free exchange of ideas and leveraging the work of others. It outlines the typical hardware design process, from ideation to schematics to visualization to firmware/software. It provides an example product called "blink(1)" and discusses how open source tools can help with different stages like circuit design, 3D printing, and software/firmware. The document notes that while some challenges remain, open source can help get an idea to a functional prototype quickly and allow testing across different chip architectures more affordably. It encourages sharing work through blogs to engage makers and early adopters.
Code sprints are time-boxed periods focused on software development goals. They allow teams to build or learn something new, meet people, and work in small iterations. Effective sprints define goals, invite contributors, schedule on calendars, assign tasks, set up resources, write documentation, iterate in short cycles, take notes, train newcomers, recognize contributors, invite more people, and have fun while building consensus and doing what works. Potential challenges include special interests not communicating and failing to build consensus.
Introduction to Open Source Hardware, OSHWA and Open Hardware SummitDrew Fustini
The document provides an overview of open source hardware, including definitions of open source, examples like Arduino, required documentation for electronics projects, licenses, and resources like the Open Hardware Summit and Open Source Hardware Association. It discusses open hardware principles, certification, and the use of Linux on open hardware boards and single-board computers.
This document summarizes a presentation about Adopt OpenJDK, an initiative to improve the OpenJDK and Java. It discusses what OpenJDK is, the benefits of contributing to it, and how to get involved at different levels, from testing to more advanced work. The presenter encourages attendees to consider joining the effort to help advance the Java ecosystem. Slides and demos are provided during the presentation, and time is allocated at the end for questions, announcements and discussion.
This document discusses accessibility and how bringing people together to focus on removing barriers can help move accessibility forward in a meaningful way. It provides examples of how APIs, extensions, and hackathons that focus on understanding different barriers and building solutions can make the web more accessible and improve the experience for all users. The key is finding consensus to push accessibility efforts in the same direction rather than working against each other.
The 5th Annual Open Hardware Summit was held in Rome, Italy in 2014. It was organized by the Open Source Hardware Association to discuss the growing open hardware movement. Key topics included the Ada Lovelace Fellowship for women in open technology, workshops on open hardware manufacturing and licensing, and presentations from leaders in the field such as Adrian Bowyer of RepRap and Eric Pan of Seeed Studio. The Summit aimed to advance open sharing of hardware knowledge and collaboration on technology development.
Hardware Prototyping & Hyper Island for XD Meetup StockholmSune Kaae
Sune show how Hyper Island students used daily hardware prototyping with Littlebits and Arduino to drive 4 weeks of learning with connected IoT experiences
Programming the Real World: Javascript for Makerspchristensen
Hardware is becoming easier to design and manufacture, approaching the ease of software. This presentation:
- takes you on a tour of the changes in hardware
- a crash course in building circuits
- teaches the basics of using and programming Arduino
- introduces Javascript libraries for controlling hardware and robots
- how to get involved with hardware projects
If you'd like me to present this or similar content at your event, please contact me: peter at pchristensen dot com
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1. Introduction to OpenCV
19. November 2015
Max Tillich, Interface Design (7. Semster)
“Visualizing cultural collections” by Prof. Marian Dörk at FH Potsdam
11. What is OpenCV?
Written in C and today mostly C++
Interfaces for Python, Ruby, Matlab and Java
12. What is OpenCV?
Written in C and today mostly C++
Interfaces for Python, Ruby, Matlab and Java
Libraries for Processing
13. What is OpenCV?
Written in C and today mostly C++
Interfaces for Python, Ruby, Matlab and Java
Libraries for Processing
Image: Jordi Tost – ImageFiltering
22. How can I get started?
Documentation
docs.opencv.org
Book
OpenCV by Gary Bradski & Adrian Kaehler
23. How can I get started?
Video training
Popular Processing & OpenCV videos
Curated playlist on YouTube
Research Paper
“Computer Vision for Artists and Designers:
Pedagogic Tools and Techniques for Novice
Programmers”
24. How can I get started?
Stack Overflow
Google search for “opencv processing not working”
25. How can I get started?
Stack Overflow
Google search for “opencv processing not working”
26. How can I get started?
Jordi Tost
@jorditost
Greg Borenstein
@atduskgreg
Theodore Watson
@theowatson
27. How can I get started?
Jordi Tost
@jorditost
jordi.tost.val@fh-potsdam.de
Greg Borenstein
@atduskgreg
Theodore Watson
@theowatson
28. Introduction to OpenCV
19. November 2015
Max Tillich, Interface Design (7. Semster)
“Visualizing cultural collections” by Prof. Marian Dörk at FH Potsdam