Video Image Retrieval Based on Improved SIFT Features

Abstract

This paper presents an algorithm based on SIFT features. It calculates key points in the image and extracts the feature of the image by calculating the key points' orientation and modulus of the gradient. The similarity between two images is computed using Euclidean distance. The experiment shows that the feature is invariant to image scaling translation… (More)

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Cite this paper

@article{Gao2010VideoIR, title={Video Image Retrieval Based on Improved SIFT Features}, author={Hui Gao and Yuncheng Du and Yuqin Li and Shuicai Shi}, journal={2010 2nd International Workshop on Intelligent Systems and Applications}, year={2010}, pages={1-4} }