DocumentCode
554070
Title
Notice of Retraction
Research and simulation of hybrid processing model based on scenes perceptual features
Author
Junling Liu ; Hongwei Zhao ; Xiao Chen
Author_Institution
Dept. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
973
Lastpage
976
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The scene perception is a process of getting content and meaning of scene from a group of objects that have specific spatial relationships. Therefore, the research of the processing based on the scene perceived features is essential for image understanding and scene recognition. Cognitive science research results show that the cognitive process of visual information processing using a bottom-up and top-down combination of mixed model. And The visual information during scene perception involves not only local features but also global features. Based on the above research, this paper established a bottom-up and top-down combination processing model, which co-existence of serial and parallel. We uses Fuzzy ARTMAP (Fuzzy adaptive resonance theory map) network to simulate the process model. Fuzzy ARTMAP is verified by experiment that the model is effective for classification of object in scenes.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The scene perception is a process of getting content and meaning of scene from a group of objects that have specific spatial relationships. Therefore, the research of the processing based on the scene perceived features is essential for image understanding and scene recognition. Cognitive science research results show that the cognitive process of visual information processing using a bottom-up and top-down combination of mixed model. And The visual information during scene perception involves not only local features but also global features. Based on the above research, this paper established a bottom-up and top-down combination processing model, which co-existence of serial and parallel. We uses Fuzzy ARTMAP (Fuzzy adaptive resonance theory map) network to simulate the process model. Fuzzy ARTMAP is verified by experiment that the model is effective for classification of object in scenes.
Keywords
fuzzy neural nets; image classification; bottom-up combination processing; cognitive science research; fuzzy ARTMAP; fuzzy adaptive resonance theory map; hybrid processing model; image understanding; object classification; scene perception; scene recognition; scenes perceptual features; simulation; spatial relationships; top-down combination processing; visual information processing; Computational modeling; Computer vision; Feature extraction; Information processing; Pattern recognition; Visual perception; Visualization; Fuzzy ARTMAP; global features; local features; scene perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022227
Filename
6022227
Link To Document