State-of-the-art in 360 video/image processing: Perception, assessment and compression
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …
spherical viewing range of 360° video/image accounts for huge data, which pose the …
[HTML][HTML] Salient object detection: A survey
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …
object detection, has attracted great interest in computer vision. While many models have …
Predicting human eye fixations via an lstm-based saliency attentive model
Data-driven saliency has recently gained a lot of attention thanks to the use of convolutional
neural networks for predicting gaze fixations. In this paper, we go beyond standard …
neural networks for predicting gaze fixations. In this paper, we go beyond standard …
WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
We introduce in this paper a novel polyp localization method for colonoscopy videos. Our
method is based on a model of appearance for polyps which defines polyp boundaries in …
method is based on a model of appearance for polyps which defines polyp boundaries in …
Salient object detection: A benchmark
We extensively compare, qualitatively and quantitatively, 41 state-of-the-art models (29
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …
State-of-the-art in visual attention modeling
Modeling visual attention-particularly stimulus-driven, saliency-based attention-has been a
very active research area over the past 25 years. Many different models of attention are now …
very active research area over the past 25 years. Many different models of attention are now …
Global contrast based salient region detection
Automatic estimation of salient object regions across images, without any prior assumption
or knowledge of the contents of the corresponding scenes, enhances many computer vision …
or knowledge of the contents of the corresponding scenes, enhances many computer vision …
Efficient salient region detection with soft image abstraction
Detecting visually salient regions in images is one of the fundamental problems in computer
vision. We propose a novel method to decompose an image into large scale perceptually …
vision. We propose a novel method to decompose an image into large scale perceptually …
Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study
Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
the most relevant regions from a scene. Relevance is determined by two components: 1) top …
Leveraging stereopsis for saliency analysis
Y Niu, Y Geng, X Li, F Liu - 2012 IEEE Conference on …, 2012 - ieeexplore.ieee.org
Stereopsis provides an additional depth cue and plays an important role in the human vision
system. This paper explores stereopsis for saliency analysis and presents two approaches …
system. This paper explores stereopsis for saliency analysis and presents two approaches …