Human vision system actively seeks interesting regions in images to reduce the search effort
in tasks, such as object detection and recognition. Similarly, prominent actions in video …

Human vision system actively seeks salient regions and movements in video sequences to
reduce the search effort. Modeling computational visual saliency map provides im-portant …

Visual attention analysis provides an alternative methodology to semantic image
understanding in many applications such as adaptive content delivery and region-based …

This paper presents a novel method for detecting salient regions in both images and videos
based on a discriminant center-surround hypothesis that the salient region stands out from …

A video sequence is more than a sequence of still images. It contains a strong spatial–
temporal correlation between the regions of consecutive frames. The most important …

In this paper we propose a system for the analysis of user generated video (UGV). UGV
often has a rich camera motion structure that is generated at the time the video is recorded …

We propose a novel algorithm to detect visual saliency from video signals by combining both
spatial and temporal information and statistical uncertainty measures. The main novelty of …

This paper proposes to employ the visual saliency for moving object detection via direct
analysis from videos. Object saliency is represented by an information saliency map (ISM) …

This paper proposes a superpixel-based spatiotemporal saliency model for saliency
detection in videos. Based on the superpixel representation of video frames, motion …

This paper proposes an effective spatiotemporal saliency model for unconstrained videos
with complicated motion and complex scenes. First, superpixel-level motion and color …