Detail projektu

CARETAKER - Content Analysis and REtrieval Technologies to Apply Knowledge Extraction to massive Recording

Období řešení: 01.03.2006 — 30.09.2008

O projektu

The CARETAKER project aims at studying, developing and assessing multimedia knowledgebased content analysis, knowledge extraction components, and metadata management sub-systems in the context of automated situation awareness, diagnosis and decision support. More precisely, CARETAKER will focus on the extraction of a structured knowledge from large multimedia collections recorded over networks of camera and microphones deployed in real sites. The produced audio-visual streams, in addition to surveillance and safety issues, could represent a useful source of information if stored and automatically analysed, in urban planning and resource optimisation, environment planning and disabled/elderly person monitoring for instance.

Klíčová slova
massive recording, content analysis, speech processing, video processing, awareness, knowledge representation, ontology

Označení

027231

Originální jazyk

angličtina

Řešitelé

Útvary

Ústav počítačové grafiky a multimédií
- spolupříjemce (01.03.2006 - 30.09.2008)

Výsledky

MATĚJKA, P., BURGET, L., SCHWARZ, P., ČERNOCKÝ, J. NIST 2005 Language Recognition Evaluation. In Proceedings of NIST LRE 2005. Washington DC: 2006. p. 1-37.
Detail

MATĚJKA, P., BURGET, L., SCHWARZ, P., ČERNOCKÝ, J. NIST Speaker Recognition Evaluation 2006. In Proceedings of NIST Speaker Recognition Evaluation 2006. San Juan: 2006. p. 1-40.
Detail

HRADIŠ, M. Framework for Research on Detection Classifiers. Proceedings of Spring Conference on Computer Graphics. Budmerice: Comenius University in Bratislava, 2008. p. 171-177. ISBN: 978-80-89186-30-3.
Detail

GRÉZL, F.; FOUSEK, P. Optimizing bottle-neck features for LVCSR. 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing. Las Vegas, Nevada: IEEE Signal Processing Society, 2008. p. 4729-4732. ISBN: 1-4244-1484-9.
Detail

MATĚJKA, P.; BURGET, L.; GLEMBEK, O.; SCHWARZ, P.; HUBEIKA, V.; FAPŠO, M.; MIKOLOV, T.; PLCHOT, O.; ČERNOCKÝ, J. BUT language recognition system for NIST 2007 evaluations. Proc. Interspeech 2008. Proceedings of Interspeech. Brisbane, Australia: International Speech Communication Association, 2008. p. 1-4. ISSN: 1990-9772.
Detail

GRÉZL, F.; ČERNOCKÝ, J. Audio Surveillance through Known Event Classification. Radioengineering, 2009, vol. 18, no. 4, p. 671-675. ISSN: 1210-2512.
Detail

GLEMBEK, O.; MATĚJKA, P.; BURGET, L.; MIKOLOV, T. Advances in Phonotactic Language Recognition. Proc. Interspeech 2008. Proceedings of Interspeech. Brisbane: International Speech Communication Association, 2008. p. 1-4. ISSN: 1990-9772.
Detail

JURÁNEK, R. Engine for Real-Time 2D Object Detection. Proceedings of the 14th Conference STUDENT EEICT 2008 Volume 4. Brno: Brno University of Technology, 2008. p. 1-5. ISBN: 80-214-3163-6.
Detail

MLÍCH, J.; CHMELAŘ, P. Trajectory classification based on Hidden Markov Models. Proceedings of 18th International Conference on Computer Graphics and Vision. Moscow: Lomonosov Moscow State University, 2008. p. 101-105. ISBN: 978-5-9556-0112-0.
Detail

MLÍCH, J. Trajectory classification. Proceedings of the 14th Conference STUDENT EEICT 2008. Volume 2. Brno: Faculty of Electrical Engineering and Communication BUT, 2008. p. 211-213. ISBN: 978-80-214-3615-2.
Detail

HUBEIKA, V.; BURGET, L.; MATĚJKA, P.; SCHWARZ, P. Discriminative Training and Channel Compensation for Acoustic Language Recognition. Proc. Interspeech 2008. Proceedings of Interspeech. Brisbane: International Speech Communication Association, 2008. p. 1-4. ISSN: 1990-9772.
Detail

Odkaz