The paper contributes to No-Reference video quality assessment of broadcasted HD video over IP networks and DVB. In this work we have enhanced our bottom-up spatio-temporal saliency map model by considering semantics of the visual scene. Thus we propose a new saliency map model based on face detection that we called semantic saliency map. A new fusion method has been proposed to merge the botto...

Detection of salient object regions is useful for many vision tasks. Recently, a variety of saliency detection models have been proposed. They often behave differently over an individual image, and these saliency detection results often complement each other. To make full use of the advantages of the existing saliency detection methods, in this paper, we propose a salience learning model which ...

In current common research reports, salient regions are usually defined as those regions that could present the main meaningful or semantic contents. However, there are no uniform saliency metrics that could describe the saliency of implicit image regions. Most common metrics take those regions as salient regions, which have many abrupt changes or some unpredictable characteristics. But, this m...

Saliency detection aims to detect the most attractive objects in images, which has been widely used as a foundation for various multimedia applications. In this paper, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel prior. First, we generate an initial saliency map based on a color saliency map and a depth saliency map of a given RGB-D image. The...

We present a new segment-based method for saliency detection based on multi-size superpixels that combines local and global saliency cues. We extract superpixels at several scales and represent each superpixel with a normal distribution in CIE-Lab space estimated from its associated pixels. Global saliency is computed by grouping similar superpixels to estimate the spatial distribution of color...

Abstract Salient region detection is very useful in video analysis. A salient region detection method based on spatiotemporal visual attention model is proposed in this paper. Visual attention mechanism is used to generate saliency map of the image sequence. Spatial saliency map is computed in accordance with some predefined features including intensity, color and orientation. Temporal visual s...

Saliency detection attracted attention of many researchers and had become a very active area of research. Recently, many saliency detection models have been proposed and achieved excellent performance in various fields. However, most of these models only consider low-level features. This paper proposes a novel saliency detection model using both color and texture features and incorporating high...

Salient object detection has seen remarkable progress driven by deep learning techniques. However, most of deep learning based salient object detection methods are black-box in nature and lacking in interpretability. This paper proposes the first self-explanatory saliency detection network that explicitly exploits lowand high-level features for salient object detection. We demonstrate that such...

Ability of human visual system to detect prominent regions in an image is fast, reliable and efficient. Computational modeling of this extraordinary behavior is termed as saliency detection. Saliency detection identifies salient regions in an image and is relevant in many computer vision applications such as object recognition, image segmentation, image retrieval etc. The term co-saliency can b...