Detail projektu

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

Období řešení: 1. 3. 2006 – 30. 9. 2008

Typ projektu: grant

Kód: 027231

Název česky
CARETAKER - Technologie analýzy obsahu a vyhledávání pro získávání znalostí z velkých množství nahrávek
Typ
grant
Klíčová slova

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

Abstrakt

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.

Řešitelé
Černocký Jan, prof. Dr. Ing. (UPGM) – hlavní řešitel
Beran Vítězslav, doc. Ing., Ph.D. (UPGM)
Grézl František, Ing., Ph.D. (UPGM)
Smrž Pavel, doc. RNDr., Ph.D. (UPGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (UPGM)
Publikace

2009

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

2008

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
Nahoru