- 14 February 2018 - The article "Bilder finden statt suchen - Künstliche Intelligenz ermittelt Metadaten und Bildcluster" has been published in the PICTA magazine 1/2018.
- 12 July 2017 - The Bündner Tagblatt has published the article "Intelligente Bildsuche" that covers the IMAGINE project.
- 23 June 2017 - Karl Csoknyay has presented the IMAGINE project on the IPTC Photo Metadata Conference 2017.
- 14 June 2017 - Bafi.ch introduced the IMAGINE project in its article "Bessere Bildsuche dank künstlicher Intelligenz".
- 8 May 2017 - Final project meeting in Chur and successful conclusion of the IMAGINE project.
- 17 April 2017 - The IMAGINE API has been successfully tested and evaluated with a test corpus of more than 100'000 images.
- 28 March 2017 - We have significantly improved the reliability of the named entity linking system used within the IMAGINE project.
- 19 January 2017 - IMAGINE meeting in Zurich.
- 31 October 2016 - We have finalized a first working version of the IMAGINE API.
- 31 July 2016 - The 2nd project report has been submitted to the CTI.
- 11 July 2016 - Initial version of IMAGINE’s keyword clustering and data enrichment components have been finalized.
- 29 June 2016 - The paper “Aspect-Based Extraction and Analysis of Affective Knowledge from Social Media Streams” has been accepted for publication in the IEEE Intelligent Systems journal.
- 22 June 2016 - The article “Detection of Valid Sentiment-Target Pairs in Online Product Reviews and News Media Coverage” has been accepted at the 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2016).
- 24 May 2016 - The paper “A Regional News Corpora for Contextualized Entity Discovery and Linking” which describes one of the evaluation corpora for the IMAGINE project has been presented at the Language Resources and Evaluation Conference (LREC-2016).
- 19 April 2016 - IMAGINE’s advanced keyword extraction algorithm which is suitable for non-standard domains such as creative pictures has been implemented.
- 1 April 2016 - The project consortium has met in Zurich outlining the next steps for the initial prototype to by developed by 30 September 2016.
- 29 February 2016 - An improved version of the Jeremia text pre-processing component (language detection, sentence splitting, tokenization, part-of-speech tagging, dependency parsing) used within the IMAGINE project has been released.
- 15 February 2016 - A mockup version of the IMAGINE REST API has been release for testing.
- 31 January 2016 - We have submitted the first project report to the Commission for Technology and Innovation (CTI).
- 26 January 2016 - The article "A Regional News Corpora for Contextualized Entity Discovery and Linking" that evaluates the IMAGINE named entity linking component has been accepted for publication on the 10th edition of the Language Resources and Evaluation Conference (LREC 2016).
- 5 January 2016 - Completion of the specification of the IMAGINE REST API.
- 5 November 2015 - IMAGINE kickoff meeting in Zurich.
The retrieval and marketability of visual content highly depends on the availability of high quality image meta data which enables customers to efficiently locate relevant content in large image collections.
The IMAGINE project develops advanced information extraction methods which exploit the convergence between textual image descriptions and image content as well as linked open data to automatically obtain relevant meta data such as keywords, named entities and topics.
The IMAGINE project is funded by the Swiss Federal Department of Economic Affairs' (FDEA) Commission for Technology and Innovation (CTI).
The project partners include the University of Applied Sciences Chur (Institute for Information Research), and the KEYSTONE AG Zurich, the Swiss provider with the most comprehensive offer of visual content – photography, graphics, video.