Abstract not found

Abstract not found

We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance characterization must be grounded in human evaluation. Thus we have collected a large data set of human evaluations of retrieval results, both for query by image example and query by text. The data is independent of any particular image retrieval algorithm and can be used to evaluate and compare many such algorithms without further data collection. The data and calibration software are available on-line

We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for evaluating image retrieval algorithms and provides an open reference data set for doing so. The second project develops word prediction as a semantically relevant evaluation strategy, and applies it to the evaluation of of image processing methods for semantic image analysis. The third project evaluates words for suitability of their visual properties for use in an image annotation framework.

Abstract- Medical images play a central role in patient diagnosis, therapy, surgical planning, medical reference, and training. It is therefore natural to use these images as a frontend index to retrieve medically relevant cases from digital patient databases. To speed up the search process, selected features are extracted from each image when they are stored in the database, so each one is represented by a feature vector. Subsequent image searching operations are performed using the feature vectors in place of images. In this paper, we present a way to approach semantic analysis of an image using asymmetry features. Asymmetry features are obtained by voxelwise comparison of corresponding left and right half brains by extracting manual bilateral symmetry (Midsagittal) plane and calculating the differences between the left and right side pixels of the brain. Then a specific treatment is given to the difference to identify the presence of possible lesions. I.

In this article, we give an overview of the main tasks involved in designing a platform for the evaluation of content-based image retrieval systems. A number of issues should be addressed from the construction of an image collection to the definition of standard performance measures.