Centrum pro multi-modální interpretaci dat velkého rozsahu
- Project Identification
- GBP103/12/G084 (kod CEP: GBP103/12/G084)
- Project Period
- 1/2012 - 12/2018
- Investor / Pogramme / Project type
- Czech Science Foundation
- MU Faculty or unit
- Faculty of Informatics
- Cooperating Organization
Czech Technical University Prague
Responsible person prof. Ing. Jiří Matas, Ph.D.
Charles University Prague
Responsible person RNDr. Pavel Pecina Ph.D.
University of West Bohemia in Pilsen
Responsible person prof. Ing. Josef Psutka, CSc.
The project aims at exploiting large collections of unlabeled multi-modal data, mainly video footage, to further state-of-the-art in video, audio and natural language understanding, interpretation, annotation and retrieval by combining unsupervised and semi-supervised learning. It will address problems that are very difficult (some probably impossible) to solve in a single modality by adopting an interdisciplinary approach. Progress in individual research areas - vision, natural language processing and speech will be achieved by co-training and by exploiting results of other modalities as cross-training data. For efficient processing of large data collections appearing in all modalities, the project will also concern generic problems of organization, indexing, and searching based on similarity that is fundamental for building real-life applications.