Partial-Duplicate Image Retrieval via Saliency-Guided Visual Matching

Abstract

This article proposes a novel partial-duplicate image-retrieval scheme based on saliency-guided visual matching, where the localization of duplicates is done simultaneously. The image is abstracted by visually salient and rich regions (VSRRs), which are of visual saliency and contain rich visual content. Furthermore, to refine the retrieval, a relative saliency ordering constraint is constructed that captures the robust relative saliency layout of the VSRRs. The authors propose an efficient algorithm to embed this constraint into the index system so as to speed up retrieval. Comparison experiments with state-of-the-art methods on five databases show the efficiency and effectiveness of the proposed approach.