DocumentCode
2066969
Title
Design and implementation of video-rate real-time systems incorporating neural networks: experiments and experience
Author
Jones, Simon
Author_Institution
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
fYear
1993
fDate
24-26 Nov 1993
Firstpage
79
Abstract
Summary form only given. The Hannibal system for video-rate facial feature detection is briefly described. The eventual application of the system is in ultra-low-bit-rate video telephony using model based coding and image generation techniques. The use of a hierarchy of neural nets together with temporal and spatial filters and maximum-likelihood classifiers provides a robust system
Keywords
face recognition; feature extraction; image coding; neural chips; spatial filters; videotelephony; Hannibal system; image generation; maximum likelihood classifiers; model based coding; neural networks; real time systems; spatial filters; temporal filters; video rate facial feature detection; video telephony; Face detection; Facial features; Image coding; Image generation; Maximum likelihood detection; Neural networks; Real time systems; Robustness; Spatial filters; Telephony;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location
Dunedin
Print_ISBN
0-8186-4260-2
Type
conf
DOI
10.1109/ANNES.1993.323076
Filename
323076
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