| Paper: | IMDSP-P7.3 | ||
| Session: | Indexing and Retrieval | ||
| Time: | Wednesday, May 19, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Indexing and Retrieval | ||
| Title: | ADABOOST IN REGION-BASED IMAGE RETRIEVAL | ||
| Authors: | Sheng-Yang Dai; Tsinghua University | ||
| Yu-Jin Zhang; Tsinghua University | |||
| Abstract: | In this paper, a region-based AdaBoost (RBA) algorithm that combines the similarities of a number of regions together to form a single value for measuring similarity between images is proposed. The region-based framework utilizes the segmentation result to capture the higher-level concept of images. AdaBoost is a method of finding a highly accurate classifier by combining weak classifiers. A modified version of AdaBoost which can get confidence-rated prediction is applied to learn the final similarity function from user’s feedback. It is based on a novel selection of weak classifiers. Experimental and comparison results, which are performed using a general-purpose database containing 7,000 images, are promising. | ||
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