The salient region is the most important part of an image. The salient portion in images also
attracts the most attention when people search for images in large-scale datasets. However …

Managing photo collections involves a variety of image quality assessment tasks, eg the
selection of the “best” photos. Detecting near-duplicate images is a prerequisite for …

Purpose–This paper aims to present a novel feature design that is able to precisely describe
salient objects in images. With the development of space survey, sensor and information …

Many partial-duplicate image retrieval systems use the whole image for features extraction,
while there is only a small duplicate region between the partial-duplicate images. On the …

Database models provide concepts and tools to establish data-based models of complex
real-world applications. The currently prevalent set-oriented and record-based data models …

Traditional program guides, TV applications, and online portals alone are no longer
sufficient to expose all content, let alone offer the content that consumers want, at the times …

Content-based image retrieval (CBIR) is one of the most active research areas in multimedia
information retrieval. Given a query image, the task is to search relevant images in a …

In this paper, we propose a novel feature guided Gaussian mixture model (FG-GMM) for
image matching, which typically requires matching two sets of feature points extracted from …

Saliency detection is a challenging issue in computer vision, but one of great importance
and huge applications. In this paper, we propose a novel Graph-Boolean Map method to …

Image matching is at the base of many image processing and computer vision problems,
such as object recognition or structure from motion. Current methods rely on good feature …