Tang, Jiayu, Hare, Jonathon S. and Lewis, Paul H.
Image Auto-annotation using a Statistical Model with Salient Regions
At IEEE International Conference on Multimedia & Expo (ICME), Canada.
09 - 12 Jul 2006.
Traditionally, statistical models for image auto-annotation have been coupled with image segmentation. Considering the performance of the current segmentation algorithms, it can be meaningful to avoid a segmentation stage. In this paper, we propose a new approach to image auto-annotation using statistical models. In this approach, segmentation is avoided through the use of salient regions. The use of the statistical model results in an annotation performance which improves upon our previously proposed saliency-based word propagation technique. We also show that the use of salient regions achieves better results than the use of general image regions or segments.
Conference or Workshop Item
||Event Dates: 9-12 July
|Venue - Dates:
||IEEE International Conference on Multimedia & Expo (ICME), Canada, 2006-07-09 - 2006-07-12
||Web & Internet Science
||10 Jul 2006
||17 Apr 2017 21:36
|Further Information:||Google Scholar|
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