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Author:

Miao, Jun (Miao, Jun.) | Qing, Laiyun (Qing, Laiyun.) | Duan, Lijuan (Duan, Lijuan.) (Scholars:段立娟) | Zou, Baixian (Zou, Baixian.)

Indexed by:

EI Scopus

Abstract:

Gaze movement plays an important role in human visual search system. In literature, the winner-take-all method is wildly used to simulate the controlling of the gaze movement. The winner-take-all is a type of single-cell coding method, which uses one cell (grandmother cell) or one response to represent an object. However, eye movement is affected by the visual context which includes more than one object in images, especially in target search. Therefore, we propose to use the population coding with more than one response rather than the single-cell coding on gaze movement control. The proposed method is supported by the theoretical analysis and experiments on a real image database which show the population-cell-coding improves the target locating accuracy by 44.4% only at the cost of coding 22.4% more information than that of single-cell-coding. © 2009 IEEE.

Keyword:

Cells Eye movements Image enhancement Neural networks Cytology Image coding

Author Community:

  • [ 1 ] [Miao, Jun]Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
  • [ 2 ] [Qing, Laiyun]School of Information Science and Engineering, Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • [ 3 ] [Duan, Lijuan]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zou, Baixian]Department of Information Science and Technology, College of Art and Science, Beijing Union Technology, Beijing 100083, China

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Year: 2009

Page: 2103-2108

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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