Title :
An user based framework for salient detail extraction
Author :
Nguyen, Giung P. ; Worring, Marcel
Author_Institution :
Intelligent Sensory Inf. Syst., Amsterdam Univ., Netherlands
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;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394613
