A Cross-Modal System for Cell Migration Image Annotation and Retrieval

Author

Zheng, Chaoxin ; Long, Aideen ; Volkov, Yuri ; Davies, Anthony ; Kelleher, Dermot ; Ahmad, Khurshid

Author_Institution

Trinity Coll. Dublin, Dublin

fYear

2007

fDate

12-17 Aug. 2007

Firstpage

1738

Lastpage

1743

Abstract

A multinet system, comprising SOM´s linked via Hebbian connections, has been designed and implemented for automatically annotating and retrieving cell migration images. The collateral compound keywords used in image captions and elsewhere in the text were used to train one SOM and colour moments of the image were used to train another SOM. A corpus of 1004 complex images and collateral texts was collated and the multinet system was trained to learn the association between the keywords and visual features. A test on a trial run of a smaller set of images (73 in all) showed that the multinet system outperformed single net systems and the k-means clustering.

Keywords

Hebbian learning; cellular biophysics; feature extraction; image colour analysis; image retrieval; medical image processing; pattern clustering; self-organising feature maps; cell migration image annotation; cross-modal system; image colour moment; image retrieval; k-means clustering; multinet system; self-organising map; visual feature extraction; Chaos; Content based retrieval; Data mining; Image analysis; Image retrieval; Image segmentation; Information analysis; Neural networks; Proteins; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2007. IJCNN 2007. International Joint Conference on

Conference_Location

Orlando, FL

ISSN

1098-7576

Print_ISBN

978-1-4244-1379-9

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2007.4371220

Filename

4371220