Demos

ForgetIT Personal Preservation Pilot with the Semantic Desktop

Prototype

Photos, documents, e-mails, tasks, events – on the desktop, on the smartphone, in the cloud. What to preserve, what to forget? ForgetIT is an EU funded project that assists users to manage the daily information overload with the aid of a Semantic Desktop.

The Semantic Desktop creates a personal knowledge space in the file explorer, browser, text editor, e-mail system, in the cloud, or in the photo gallery for annotation, organization, and semantic searches for resources by the user.

The Personal Preservation Pilot shows usage of the Semantic Desktop for Personal Information Management, synergetic preservation of resources, managed forgetting in information systems, and contextualized remembering.

HORST - The Music Recommender

Prototype

HORST is a demonstrator for "Holistic / Hybrid Recommendation and Explanation" created within the SimRec project.

We worked on hybrid recommendation strategies since 2003. Recent interest of commercial music streaming services and internet radio stations enabled us to work close together with real-world use-cases. Nevertheless the issue is tough. In our opinon users demand explanations. For this reason we developed a hybrid recommender consisting of Collaborative Filtering (user plays), social facets (facebook, etc.) and semantic metadata (Musicbrainz). In a joint project with a German music streaming service we evaluated different strategy settings (i.e the weigthings of the several components) and explanation interfaces with real-world users in 2013.

TubeTagger

Image and Video Analysis

TubeTagger is a concept-based video retrieval system that learns to detect visual concepts (like “soccer”, “desert”, or “interview”) automatically from YouTube. The demo allows you to search a video collection using keywords. The videos have been indexed completely automatically by TubeTagger - no manual tagging was done!

Smart Video Buddy

Image and Video Analysis

Smart Video Buddy is an intelligent assistant that understands videos and links them with other content. Semantic concepts (like “soccer game”) are detected in real-time, and this information is used to “make videos smarter”, i.e. to enrich them with adapted news, advertisements, or interesting links. Smart Video Buddy was presented at the CeBIT 2010.

Museum Guide 2.0

Prototype

Gaze-based Human-Computer Interaction (HCI) is now greatly drawing people's interest. Today, users can use their eyes to move a pointer, to type texts and to control other interactive functionalities by simply gazing at a computer display. In addition to these traditional gaze-based interactions, an advent of a glasses type of mobile eye tracker enables us to design a gaze-based interactive system in a real environment, not only in a computer display. Museum Guide 2.0 is one of the applications at the cutting edge of such computer technology.

InViRe - Intelligent Video Retrieval

Image and Video Analysis

The InViRe system realizes content-based retrieval in a dataset of TV content. If you click on a scene, InViRe uses video fingerprints based on a video's color, texture, and motion to retrieve similar scenes.

Pornography Detection

Image and Video Analysis

This demo illustrates the automatic recognition of pornographic material using computer vision techniques (with a click, you can re-rank material in a database such that potentially offensive content is shown). We developed the system as part of the FIVES project, in which we develop a toolbox supporting police investigators with the detection of illegal child pornographic material.

Navidgator

Image and Video Analysis

The Navidgator online demo allows the structural browsing of a image/video database in respect to the visual similarity of the documents.

Document Security

Document Image Analysis

Document security is gaining more and more importance in every day life. The widespread availability of scanners and printers allows even untrained people to easily forge and alter documents. This demo shows the application of automatic line orientation measurement for document security applications.

Counterfeit Protection System Code Identification

Document Image Analysis

To limit the fraudulent use of color laser printers and color copiers, the so called Counterfeit Protection System (CPS) codes (“yellow dots”, “tracking dots”) have been introduced. Despite the fact that most information about these patterns is classified, we were able to develop image based methods to identify print outs from the same printer of the same printer class.

OCRopus

Document Image Analysis

OCRopus™ is a state-of-the-art document analysis and OCR system, featuring pluggable layout analysis, pluggable character recognition, statistical natural language modeling, and multi-lingual capabilities. The system is being developed with the generous support from Google and other organizations; the primary developers are at the IUPR Research Group.

Layout Analysis

Document Image Analysis

Layout analysis remains as a significant performance limiting step in OCR and document analysis systems. To make progress in this area, we have developed a set of benchmarking tools and tasks and applied them to the evaluation of different document layout analysis methods.

DDoS Mitigation

Data Mining

If you are under a Distributed Denial of Service (DDoS) attack, you need to filter out the attacker's traffic in order to get your server online again. If attacks are highly distributed, this is a very difficult task. This demo generates out positive access rules for your firewall based on the log-files of your server (e.g. Apache). If you enable the firewall ruleset, the attack will be blocked minimizing blocking your valid customers.

IP Geo Location

Data Mining

This is an online demo of our IP geo location software. The software generates a IP-to-country lookup table out of the Regional Internet Registrars (RIR) databases, checks plausibility and resolves conflicts. A recent database can be found on the project's website.