A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Filters
A Survey on Various Saliency Detection Methods
2017
International Journal of Computer Applications
There are many different methods to detect saliency known as visual attention models or saliency detection methods. In past few years many saliency detection methods have been proposed. ...
Visual saliency is an important characteristic of Human Visual System (HVS) that select the visually significant information from scenes. ...
Visual saliency has been widely used in various applications such as image retrieval, object recognition, image/video compression, image cropping/ retargeting, human gaze and actions, automatic target ...
doi:10.5120/ijca2017913187
fatcat:t72h4ja4rjbixodutttc6zwkby
Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition
[article]
2016
arXiv
pre-print
The presentpaper introduces (1) a novel approach to detect salient regions by considering color and luminance based saliency scores using Dynamic Mode Decomposition (DMD), (2) a new interpretation to use ...
Visual Saliency is the capability of vision system to select distinctive parts of scene and reduce the amount of visual data that need to be processed. ...
CONCLUSION We have presented a Dynamic Mode Decomposition based salient region detection. Saliency detection is considered as a problem of matrix separation into low-rank and sparse. ...
arXiv:1607.03021v1
fatcat:phvkr3cbk5ggrpxzgyufokrjom
Motion saliency detection using low-rank and sparse decomposition
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Based on this observation, we propose a novel method of motion saliency detection, which makes use of the low-rank and sparse decomposition on video slices along X-T and Y-T planes to achieve the goal, ...
Motion saliency detection has an important impact on further video processing tasks, such as video segmentation, object recognition and adaptive compression. ...
In this work, we introduce a novel method to detect motion saliency by using low-rank and sparse decomposition. ...
doi:10.1109/icassp.2012.6288171
dblp:conf/icassp/XueGC12
fatcat:j55hutlkp5asda2ehoducsz7wq
Saliency detection for seismic applications using multi-dimensional spectral projections and directional comparisons
[article]
2019
arXiv
pre-print
The saliency detection results obtained using each projected component are then combined to yield a saliency map. ...
In this paper, we propose a novel approach for saliency detection for seismic applications using 3D-FFT local spectra and multi-dimensional plane projections. ...
Bottom-up saliency detection in videos exploits both spatial and temporal cues to identify visually important features in the data. ...
arXiv:1901.11095v1
fatcat:y7tzzbaggvgn5b5ncb7f3xqaqu
Global motion compensated visual attention-based video watermarking
2016
Journal of Electronic Imaging (JEI)
The proposed VAM outperforms the state-of-the-art video visual attention methods in joint saliency detection and low computational complexity performance. ...
The model is then used to develop a video watermarking algorithm, where a two-level watermarking weighting parameter map is generated from the VAM saliency maps using the saliency model and data are embedded ...
In this section, a method is proposed to detect any saliency information within a video. ...
doi:10.1117/1.jei.25.6.061624
fatcat:q7gic5pm5rerjls4elofkwuu5q
An Audio-Visual Saliency Model for Movie Summarization
2007
2007 IEEE 9th Workshop on Multimedia Signal Processing
Efficient and advanced speech and image processing algorithms to detect key frames that are acoustically and visually salient are used. ...
A saliency-based method for generating video summaries is presented, which exploits coupled audiovisual information from both media streams. ...
Kotropoulos and his group at A.U.T.H. for providing us with the movie database. ...
doi:10.1109/mmsp.2007.4412882
dblp:conf/mmsp/RapantzikosEMA07
fatcat:apy4bd4n5bgadf7sjqjci25izi
Video based Saliency Detection
2014
International Journal of Computer Applications
Saliency Detection is very important for image and video processing application. This paper presents Saliency Detection for video processing. The sample video is converted in the form of Frames. ...
Now Saliency algorithm is apply to the frames of images to filter the background from the video frames. ...
The saliency map in the compressed domain is used to get visual importance of the each video image frame. ...
doi:10.5120/16075-5176
fatcat:twkk5qvk4nhzfkhgqb6urdrow4
Visual Saliency Detection Using Group Lasso Regularization in Videos of Natural Scenes
2015
International Journal of Computer Vision
In this paper, we introduce a novel unsupervised method for detecting visual saliency in videos of natural scenes. ...
Visual saliency is the ability of a vision system to promptly select the most relevant data in the scene and reduce the amount of visual data that needs to be processed. ...
In this paper, we use spatio-temporal visual features to develop a method for detecting saliency in videos. ...
doi:10.1007/s11263-015-0853-6
fatcat:2sdtk73gtnaw5hou2aedvmxgja
Motion Saliency Detection for Surveillance Systems Using Streaming Dynamic Mode Decomposition
2020
Symmetry
One of the major models for pre-processing in intelligent surveillance systems is known as saliency detection, which provides facilities for multiple tasks such as object detection, object segmentation ...
Second, the final saliency map is refined using a difference-of-Gaussians filter in the frequency domain. The effectiveness of the proposed method is validated on a standard benchmark dataset. ...
For decomposition, we used s-DMD [40] for fast computation on video. Then, we use a difference-of-Gaussians filter on the frequency domain to refine the map. ...
doi:10.3390/sym12091397
fatcat:bfcatqsuefaaxhjzejiogwae2e
Saliency guided wavelet compression for low-bitrate image and video coding
2015
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
We show improved detection rates and quality of reconstructed images/videos using our Saliency Based Compression (SBC) algorithm. ...
We propose an improved saliency guided wavelet compression scheme for low-bitrate image/video coding applications. ...
We detect faces using the Viola-Jones detector [13] . ...
doi:10.1109/globalsip.2015.7418385
dblp:conf/globalsip/BaruaMV15
fatcat:4n3fljgxgjcfnbiktxxl24byka
What we see is most likely to be what matters: Visual attention and applications
2009
2009 16th IEEE International Conference on Image Processing (ICIP)
Among them, the most important one might be the use of prior knowledge, conjointly with the low-level visual features. ...
Concomitantly with visual attention (VA) modeling progress, the image and video processing community is increasingly considering VA models in different fields or services. ...
The capacity to automatically detect the spatial locations of the region of interest provides a great interest for numerous image and video applications. ...
doi:10.1109/icip.2009.5414481
dblp:conf/icip/MeurC09
fatcat:j3gntvlgknaxjge7pmwjib33v4
Real Time Fog Removal with Improved Quality and Accident Prevention using V2X Communication in Automobiles
2021
International Journal for Research in Applied Science and Engineering Technology
The video captured by the camera is processed to detect the object. If the object is detected then that data will be given to the controller and it will be intimated to the driver by voice. ...
In this method various methods have been used to clear the fog and to get a clear view of the road. The system uses a camera to detect the object present in the foggy region. ...
detected based on saliency map. ...
doi:10.22214/ijraset.2021.32753
fatcat:32qja22rgjffpetpariqd3mq4u
Video Foreground Detection Algorithm Based on Fast Principal Component Pursuit and Motion Saliency
2019
Computational Intelligence and Neuroscience
method, this paper proposes a two-stage foreground detection framework based on motion saliency for video sequence. ...
Finally, the block-sparse RPCA algorithm through fast PCP is used to estimate foreground areas dynamically and to reconstruct the foreground objects. ...
At the second stage, a fast motion saliency detection method based on spectral residual is applied to these candidates, and the adapt block sparsity decomposition is used to detect the foreground. ...
doi:10.1155/2019/4769185
fatcat:oe4zpxcx4zd2lmuqyrktqyaabi
Research on Salient Object Detection using Deep Learning and Segmentation Methods
2019
International journal of recent technology and engineering
It not only focuses on the methods to detect saliency objects, but also reviews the works related to spatio temporal video attention detection technique in video sequences. ...
Detecting and segmenting salient objects in natural scenes, often referred to as salient object detection has attracted a lot of interest in computer vision and recently various heuristic computational ...
paradigm for
detecting visual saliency.
1. ...
doi:10.35940/ijrte.b1046.0982s1119
fatcat:6ofq53vb7zhx7boq4ndpraphs4
Spatiotemporal saliency for video classification
2009
Signal processing. Image communication
In this paper, we propose and elaborate on a saliency detection model that treats a video sequence as a spatiotemporal volume and generates a local saliency measure for each visual unit (voxel). ...
This framework consists of a series of experiments that shows the effect of saliency in classification performance and let us draw conclusions on how well the detected salient regions represent the visual ...
Pyramid decomposition of feature volumes As discussed above, a set of feature volumes for each video shot is generated after proper video decomposition. ...
doi:10.1016/j.image.2009.03.002
fatcat:nj3aewdllzejramdeqwwiwv6mq
« Previous
Showing results 1 — 15 out of 2,841 results