원문정보
초록
영어
We present an improved sketch-based image search framework through which users can search their target images from the images in database. Our basic approach is to search the database by comparing the user-created sketch with the graph extracted from the images in the database and estimating the similarity. The images of high similarities are suggested as the candidates that match the target image. To improve the accuracy of the matching process, we substitute the graph-based representation of images with vectorized coherent lines, which are known as one of the most precise schemes in extracting and describing important features in an image. By the experiments on 820 images of 32 categories, we prove that our scheme shows higher matching accuracy than the existing schemes.
목차
1. Introduction
2. Related Work
3. Overview of the System
4. Algorithm
4.1. Coherent Line Drawing
4.2. Indexiable Oriented Chamfer Matching
4.3. Two-way Matching
5. Experiments and Results
5.1. Parameters
5.2. Comparison of the Experiments
5.3. Results
6. Conclusion and Future Work
Acknowledgement
Reference