DocumentCode
2286249
Title
Object-oriented image analysis via analogic CNN algorithms. I. Motion estimation
Author
Grass, Giuseppe ; Grieco, Luigi Alfredo
Author_Institution
Dipt. di Ingegneria dell´´Innovazione, Lecce Univ., Italy
fYear
2002
fDate
22-24 Jul 2002
Firstpage
172
Lastpage
179
Abstract
Image analysis algorithms are of great interest in the context of object-oriented coding schemes. In this paper a new analogic CNN algorithm for obtaining the motion estimation is illustrated, whereas the companion paper (Grassi and Grieco, 2002) focuses on the remaining steps of the object-oriented image analysis stage. Simulation results, carried out for Miss America and Claire video sequences, confirm the validity of the approach developed herein.
Keywords
cellular neural nets; image sequences; motion estimation; object recognition; video coding; analogic CNN algorithms; cellular neural network; motion estimation; object-oriented coding schemes; object-oriented image analysis; simulation; video coding; video sequences; Cellular neural networks; Image coding; Image motion analysis; Image segmentation; Image sequence analysis; Labeling; Motion estimation; Object oriented modeling; Pixel; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN
981-238-121-X
Type
conf
DOI
10.1109/CNNA.2002.1035050
Filename
1035050
Link To Document