CORDIS Project
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This project develops advanced information retrieval techniques to enhance search capabilities for audio-visual data. By utilizing machine learning and user interaction signals, it aims to create proactive information navigators that adapt to users' implicit needs, improving the efficiency of information access.
Simple search engines have turned out to be successful in text retrieval.
This is partly due to advances in algorithms, but additionally because the typical tasks are relatively straightforward as it is possible to come up with a good list of keywords with a reasonable effort.
All information needs cannot however be solved with such searches.
For the more and more commonly available audio-visual data people are not able to specify efficient non-textual search keys.
Moreover, if the information n…
AALTO KORKEAKOULUSAATIO SR
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Austria, Leoben
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Austria, LINZ
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
Finland, ESPOO
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
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