Segmentation-free word spotting with exemplar SVMs
An unsupervised segmentation-free word spotting method is proposed. A sliding window approach is used to locate document regions similar to the query image. Exemplar SVM is used to improve the query representation. PQ compression allows one to deal with large collections of documents with a minimum loss in accuracy. Reranking and query expansion can be applied in word spotting to improve performance.
segmentation-free word spotting compression reranking query expansion unsupervised learning