Results 231 to 240 of about 12,627 (258)

Incremental sparse saliency detection

2009 16th IEEE International Conference on Image Processing (ICIP), 2009
By the guidance of attention, human visual system is able to locate objects of interest in complex scene. We propose a new visual saliency detection model for both image and video. Inspired by biological vision, saliency is defined locally. Lossy compression is adopted, where the saliency of a location is measured by the Incremental Coding Length(ICL).
Yin Li 0003, Yue Zhou 0005, Lei Xu, Xiaochao Yang, Jie Yang 0002   +4 more
openaire   +1 more source

A segment-based image saliency detection

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
This paper presents a novel method of visual saliency detection. The use of saliency promises benefits to multimedia applications. However, up to now just few reasonable applications of saliency exist. It is clear that limited accuracy is one of the possible reasons for this.
Muratov, Oleg, Zontone, Pamela, Boato, Giulia, De Natale, Francesco   +3 more
openaire   +1 more source

Salience detection and attentional capture

Psychological Research, 2008
There is an ongoing debate to what extent irrelevant salient information attracts an observer's attention and is processed without the observer intending to do so. The present experiment investigated attentional capture of salient but irrelevant objects and compared target processing in target-and-distractor to target-only trials.
openaire   +2 more sources

3D saliency detection based on background detection

Journal of Visual Communication and Image Representation, 2017
Unlike 2D saliency detection, 3D saliency detection can consider the effects of depth and binocular parallax. In this paper, we propose a 3D saliency detection approach based on background detection via depth information. With the aid of the synergism between a color image and the corresponding depth map, our approach can detect the distant background ...
Hongyun Lin, Chunyu Lin, Yao Zhao 0001, Anhong Wang   +3 more
openaire   +1 more source

Saliency Detection by Multitask Sparsity Pursuit

IEEE Transactions on Image Processing, 2012
This paper addresses the problem of detecting salient areas within natural images. We shall mainly study the problem under unsupervised setting, i.e., saliency detection without learning from labeled images. A solution of multitask sparsity pursuit is proposed to integrate multiple types of features for detecting saliency collaboratively.
Lang, C., Liu, G., Yu, J., Yan, S.
openaire   +2 more sources

Preattentive co-saliency detection

2010 IEEE International Conference on Image Processing, 2010
This paper presents a new algorithm to solve the problem of co-saliency detection, i.e., to find the common salient objects that are present in both of a pair of input images. Unlike most previous approaches, which require correspondence matching, we seek to solve the problem of co-saliency detection under a preattentive scheme.
openaire   +1 more source

Saliency as Evidence: Event Detection with Trigger Saliency Attribution

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Jian Liu 0032, Yufeng Chen 0005, Jinan Xu   +2 more
openaire   +1 more source

Improved saliency detection based on superpixel clustering and saliency propagation

Proceedings of the 18th ACM international conference on Multimedia, 2010
Saliency detection is useful for high level applications such as adaptive compression, image retargeting, object recognition, etc. In this paper, we introduce an effective region-based solution for saliency detection. We first use the adaptive mean shift algorithm to extract superpixels from the input image, then apply Gaussian Mixture Model (GMM) to ...
Zhixiang Ren, Yiqun Hu, Liang-Tien Chia, Deepu Rajan   +3 more
openaire   +1 more source

Temporal Saliency for Fast Motion Detection

2013
This paper presents a novel saliency detection method and apply it to motion detection. Detection of salient regions in videos or images can reduce the computation power which is needed for complicated tasks such as object recognition. It can also help us to preserve important information in tasks like video compression.
Hamed Rezazadegan Tavakoli, Esa Rahtu, Janne Heikkilä   +2 more
openaire   +1 more source

A Global-Local Approach to Saliency Detection

2013
In this paper, we present a novel approach to saliency detection. We define a visually salient region with the following two properties; global saliency i.e. the spatial redundancy, and local saliency i.e. the region complexity. The former is its probability of occurrence within the image, whereas the latter defines how much information is contained ...
Boudissa, A, Tan, J, Kim, H, Ishikawa, S, Shinomiya, T, Mikolajczyk, K   +5 more
openaire   +3 more sources