Principal Investigator: 

Jiří Matas

Principal investigator (ÚFAL): 

Pavel Pecina

Provider: 

GAČR

Grant id: 

GAP103/12/G084

ÚFAL budget: 

14 Million CZK

Duration: 

2012 - 2019

Tags: 

Multi-modality

Projects: 

Medieval Charter Sections Corpus

MUSCIMA++

Czech Malach Cross-lingual Speech Retrieval Test Collection

SHAMUS

CEMI

Center for large-scale multi-modal data interpretation

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.

Czech Technical University, Charles University in Prague, Masaryk University, University of West Bohemia