Real-Time Processing of Structure and Its Anticipation
p. 155-169
Résumé
A two-level processing scheme for real-time image understanding is proposed, where an example-based (or case-based) reasoning in neural AI systems is introduced. The system has two levels; Component Level and Structure Level. At the component level, an elementary pattern recognition is performed as in the conventional pattern recognition, while the syntax pattern recognition is done at the structure level. Both levels are essentially time-consuming (theoretically, NP-complete each). The pattern recognition assisted by syntax recognition reduces the total complexity of processes, and the system can perform a real-time image understanding, when the VLSI chips are introduced. As a result, we show a reasonable real-time image understanding scheme by introducing neural pattern recognition at the component level and a case-based AI technique at the structure level.
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Référence papier
Tadashi Ae, Hiroyuki Araki, Saku Hiwatashi et Ken-ichi Katakawa, « Real-Time Processing of Structure and Its Anticipation », CASYS, 1 | 1998, 155-169.
Référence électronique
Tadashi Ae, Hiroyuki Araki, Saku Hiwatashi et Ken-ichi Katakawa, « Real-Time Processing of Structure and Its Anticipation », CASYS [En ligne], 1 | 1998, mis en ligne le 28 June 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=626
Auteurs
Tadashi Ae
Electrical Engineering, Faculty of Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima,739 Japan
Hiroyuki Araki
Electrical Engineering, Faculty of Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima,739 Japan
Saku Hiwatashi
Electrical Engineering, Faculty of Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima,739 Japan
Ken-ichi Katakawa
Electrical Engineering, Faculty of Engineering, Hiroshima University 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima,739 Japan