نتایج جستجو برای: saliency detection

تعداد نتایج: 568996  

Journal: :CoRR 2016
Dingwen Zhang Huazhu Fu Junwei Han Feng Wu

Co-saliency detection is a newly emerging and rapidly growing research area in computer vision community. As a novel branch of visual saliency, co-saliency detection refers to the discovery of common and salient foregrounds from two or more relevant images, and can be widely used in many computer vision tasks. The existing co-saliency detection algorithms mainly consist of three components: ext...

2015
Yi Mao Bao-Long Guo Yunyi Yan Wei Sun

Saliency Detection is a hot research topic in both biological and computer vision. Salient structures, edges, regions would greatly contribute to high-level semantics understanding of people’s attention and improve retrieval precision, object detection, edge detection and etc. In this paper, based on the biological principle in visual system, we present a saliency detection system which combine...

2014
Junxia Li Jundi Ding Jian Yang

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 ...

Ebadi, Hamid, Ghorbani, Fariborz, Sedaghat, Amin,

Nowadays, due to quality development of satellite images, automatic target detection on these images has been attracted many researchers' attention. Remote-sensing images follow various geospatial targets; these targets are generally man-made and have a distinctive structure from their surrounding areas. Different methods have been developed for automatic target detection.  In most of these met...

2013
Shangbing Gao Yunyang Yan

To aim at the defect that the classic significant region detection algorithm IG suppresses the most significant pixels, a novel saliency detection method combined with neighborhood inhomogeneity factor NIF is put forward. This algorithm achieves the satisfying result in static image saliency detection. Firstly, IG saliency map is obtained according to the IG algorithm, and then the NIF saliency...

Journal: :CoRR 2017
Huaxin Xiao Jiashi Feng Yunchao Wei Maojun Zhang

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...

2016

Saliency detection has become a very prominent subject for research in recent time. Many techniques has been defined for the saliency detection.In this paper number of techniques has been explained that include the saliency detection from the year 2000 to 2015, almost every technique has been included.all the methods are explained briefly including their advantages and disadvantages. Comparison...

2012
Qiaorong Zhang Yongqiang Zhang

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...

2016
Libo Zhang Lin Yang Tiejian Luo Dewen Hu

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...

2014
Antonino Furnari Giovanni Maria Farinella Sebastiano Battiato

Saliency detection is a useful tool for video-based, real-time Computer Vision applications. It allows to select which locations of the scene are the most relevant and has been used in a number of related assistive technologies such as life-logging, memory augmentation and object detection for the visually impaired, as well as to study autism and the Parkinson’s disease. Many works focusing on ...

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