Salient region detection has gained a great deal of attention in computer vision. It is useful for applications such as adaptive video/image compression, image segmentation, anomaly detection, image retrieval, etc. In this paper, we study saliency detection using a center-surround approach. The proposed method is based on estimating saliency of local feature contrast in a Bayesian framework. Th...

Human visual system actively seeks salient regions and movements in video sequences to reduce the search effort. Computational visual saliency detection model provides important information for semantic understanding in many real world applications. In this paper, we propose a novel perception-oriented video saliency detection model to detect the attended regions for both interesting objects an...

Screening mammography has been successful in early detection of breast cancer, which has been one of the leading causes of death for women worldwide. Among commonly detected symptoms on mammograms, mass detection is a challenging problem as the task is affected by high complexity of breast tissues, the presence of pectoral muscles as well as varying shape and size of masses. In this research, a...

We develop a new automatic Object of Interest detection method for image trimming and a novel tracking technique in active videos. Both applications consist of salient region detection and feature matching. We deploy a color-saliency weighted Probability-of-Boundary (cPoB) map to detect salient regions. Scale Space Image Pyramid (SSIP) feature matching is proposed for image trimming. An image p...

Recently, saliency detection in a single image and co-saliency detection in multiple images have drawn extensive research interest in the vision community. In this paper, we investigate a new problem of co-saliency detection within a single image, i.e., detecting within-image co-saliency. By identifying common saliency within an image, e.g., highlighting multiple occurrences of an object class ...

Object segmentation is a challenging task in image processing and computer vision. In this paper, we present a visual attention based segmentation method to segment small sized interesting objects in natural images. Different from the traditional methods, we first search the region of interest by using our novel saliency-based method, which is mainly based on band-pass filtering, to obtain the ...

In this paper, we present a video saliency detection method by spatio-temporal sampling and sparse matrix decomposition. In the method, we sample the input video sequence into three planes: X-T slice plane, YT slice plane, and X-Y slice plane. Then, motion saliency map is extracted from the X-T and Y-T slices, and static saliency map is extracted from the X-Y slices by low-rank matrix decomposi...

Visual salience detection originated over 500 million years ago and is one of nature’s most efficient mechanisms. In contrast, many state-of-the-art computational saliency models are complex and inefficient. Most saliency models process high-resolution color (HC) images; however, insights into the evolutionary origins of visual salience detection suggest that achromatic low-resolution vision is...