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Full-Text Articles in Social and Behavioral Sciences
Image Retrieval With Svm Active Learning Embedding Euclidean Search, Lei Wang, Kap Luk Chan, Yap Peng Tan
Image Retrieval With Svm Active Learning Embedding Euclidean Search, Lei Wang, Kap Luk Chan, Yap Peng Tan
Faculty of Engineering and Information Sciences - Papers: Part A
Image retrieval with relevance feedback suffers from the small sample problem. Recently, SVM active learning has been proposed to tackle this problem, showing promising results. However, a small but sufficient number of initially labelled samples are still required to ensure the subsequent active learning efficient and good retrieval performance. In the existing method, the user is asked to label more images before active learning starts. In this paper, a method of embedding Euclidean search into SVM active learning is proposed. With the help of Euclidean search, not only the adverse effect on retrieval performance due to lack of initially labelled …
Bootstrapping Svm Active Learning By Incorporating Unlabelled Images For Image Retrieval, Lei Wang, Kap Luk Chan, Zhihua Zhang
Bootstrapping Svm Active Learning By Incorporating Unlabelled Images For Image Retrieval, Lei Wang, Kap Luk Chan, Zhihua Zhang
Faculty of Engineering and Information Sciences - Papers: Part A
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating the unlabelled images into the bootstrapping of the learning process. In this work, the initial SVM classifier is trained with the few labelled images and the unlabelled images randomly selected from the image database. Both theoretical analysis and experimental results show that by incorporating unlabelled images in the bootstrapping, the efficiency of SVM active learning can be improved, and thus improves the overall retrieval performance.