An user based framework for salient detail extraction

Author

Nguyen, Giung P. ; Worring, Marcel

Author_Institution

Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands

Volume

3

fYear

2004

fDate

27-30 June 2004

Firstpage

1831

Abstract

We consider the interaction with salient details in the image i.e. points, lines, and regions. Interactive salient detail definition goes further than summarizing the image into a set of salient details since the saliency of details depends on the context, the application and the user. We propose an interaction framework for salient details from the perspective of the user, which dynamically updates the user- and context-dependent definition of saliency based on relevance feedback. A number of instantiations of the framework are presented.

Keywords

feature extraction; image segmentation; interactive systems; relevance feedback; context dependent saliency; feature computation; image processing; image segmentation; interactive CBIR system; interactive retrieval; interactive salient detail definition; relevance feedback; saliency computation; saliency selection; significance; user based salient detail extraction framework; Data mining; Detectors; Feedback; Image processing; Image segmentation; Information systems; Intelligent sensors; Intelligent systems; Paints; Tail;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on

Print_ISBN

0-7803-8603-5

Type

conf

DOI

10.1109/ICME.2004.1394613

Filename

1394613