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Research on Salient Object Detection using Deep Learning and Segmentation Methods
2019
International journal of recent technology and engineering
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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. ...
The aim of this review work is to study about the details of methods in salient object detection. ...
A novel bottom-up computational
model of visual attention. ...
doi:10.35940/ijrte.b1046.0982s1119
fatcat:6ofq53vb7zhx7boq4ndpraphs4
Detection of Moving Objects in Surveillance Video by Integrating Bottom-up Approach with Knowledge Base
2016
Procedia Computer Science
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This paper discusses a saliency detection method that aims to discover and localize the moving regions for indoor and outdoor surveillance videos. ...
This method does not require any prior knowledge of a scene and this has been verified with snippets of surveillance footages. ...
by weighted sum of dynamic saliency map (M d ) and static saliency map(M s ): (3)
Background Noise Suppression The human vision perceives its environment by combining top down knowledge and bottom up ...
doi:10.1016/j.procs.2016.02.026
fatcat:3jtkvtteanbxripbkiijlqoppa
A unified framework for spatiotemporal salient region detection
2013
EURASIP Journal on Image and Video Processing
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This article presents a new bottom-up framework for spatiotemporal salient region detection. The generated saliency map can uniformly highlight the salient regions. ...
Furthermore, we combine the spatial and the temporal saliency maps through an adaptive fusion method, in which a novel motion entropy is proposed to evaluate the motion contrast of the input video. ...
Acknowledgements This study was supported by the National Natural Science Foundation of China (No. 61179060) and by the grants from the Fundamental Research Funds for the Central Universities (No. ...
doi:10.1186/1687-5281-2013-16
fatcat:rm4v4wfdijemhmgd7lqdce6hj4
Detecting Salient Objects Of Natural Scene In A Video'S Using Spatio-Temporal Saliency & Colour Map
2016
Zenodo
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So by using the data of different method we develop a Novel method which will give best results of detection of saliency. ...
This uses the signal coming from human eye, for detection of saliency, for that a large database are used (about 15000 frames). For Saliency detection two pathways are decided. ...
Bottom-up saliency for videos helps in foreground region detection by assigning a saliency measure to a pixel to be spatially and temporally salient. ...
doi:10.5281/zenodo.1468351
fatcat:wlngwso3czam3nflumlyuspbtm
Spatio-Temporal Saliency Perception via Hypercomplex Frequency Spectral Contrast
2013
Sensors
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In this paper, we propose a novel spatio-temporal saliency perception method based on spatio-temporal hypercomplex spectral contrast (HSC). ...
Since most of the methods usually need some ad hoc parameters or high-cost preprocessing, they are difficult to rapidly detect salient object or be implemented by computing parallelism in a smart sensor ...
Acknowledgments Many thanks are due for the reviewers' helpful comments on our manuscript. ...
doi:10.3390/s130303409
pmid:23482090
pmcid:PMC3658753
fatcat:h5riehkwdbhatpgukryewycm5m
Video Structuring: From Pixels To Visual Entities
2012
Zenodo
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The main contribution introduced in this paper concerns a novel bottom-up approach for modeling the spatio-temporal attention in videos. ...
with a novel temporal attention model. ...
doi:10.5281/zenodo.51978
fatcat:5tsrcrfs2zggjch4bxzcjzvfki
Video Salient Object Detection via Fully Convolutional Networks
2018
IEEE Transactions on Image Processing
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This paper proposes a deep learning model to efficiently detect salient regions in videos. ...
It addresses two important issues: (1) deep video saliency model training with the absence of sufficiently large and pixel-wise annotated video data, and (2) fast video saliency training and detection. ...
Image saliency detection has been extensively studied for decades and most of the methods are driven by the wellknown bottom-up strategy. ...
doi:10.1109/tip.2017.2754941
pmid:28945593
fatcat:v644yvm4qjag5l5ri5lq7ztwee
Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement
2015
IEEE Transactions on Image Processing
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We present a novel spatiotemporal saliency detection method to estimate salient regions in videos based on the gradient flow field and energy optimization. ...
The experimental results show that the proposed algorithm outperforms state-of-the-art video saliency detection methods. ...
RELATED WORK We now briefly review previous work along two lines: bottom-up image saliency and video saliency, as our work is on bottom-up salient object detection method for video sequences. ...
doi:10.1109/tip.2015.2460013
pmid:26208348
fatcat:jz6ctqbwgfbwtacutirascxlqi
Dynamic Saliency Models and Human Attention: A Comparative Study on Videos
[chapter]
2013
Lecture Notes in Computer Science
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However, efficient ways of comparing these models for still images remain an open research question. The problem is even more challenging when dealing with videos and dynamic saliency. ...
Significant progress has been made in terms of computational models of bottom-up visual attention (saliency). ...
Four models of bottom-up dynamic saliency detection were compared on a database containing a wide variety of video classes. ...
doi:10.1007/978-3-642-37431-9_45
fatcat:mzozvrxrenfzlma53qisrw34ya
Saliency-Based Fidelity Adaptation Preprocessing for Video Coding
2011
Journal of Computer Science and Technology
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To extract visually salient features, we construct a spatio-temporal saliency map by analyzing the video using a combined bottom-up and top-down visual saliency model. ...
Besides evaluating our scheme with the H.264 reference software, we also compare it to a more traditional foreground-background segmentation-based method and a foveation-based approach which employs Gaussian ...
Acknowledgements We would like to thank anonymous reviewers and editors for their valuable suggestions to improve the paper. Also, thanks go to Ralph R. Martin for his helpful discussions. ...
doi:10.1007/s11390-011-9426-5
fatcat:b33rqq4xzjcqjjllsfnapcpsbm
Data-driven approach to dynamic visual attention modelling
2012
Optics, Photonics, and Digital Technologies for Multimedia Applications II
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The ability to automatically detect areas of the visual scene that will be attended to by humans is of interest for a large number of applications, from video coding, video quality assessment to scene ...
Due to this fact, visual saliency (bottom-up attention) models have generated significant scientific interest in recent years. ...
attention commonly rely on bottom-up models 491011 . 12 Significant progress has been made in terms of computational models of bottom-up visual attention (saliency) when working with still images 131415 ...
doi:10.1117/12.923559
fatcat:nunhmil2unhbnmbbwvvpb7hgha
Salient Region Detection and Segmentation in Images using Dynamic Mode Decomposition
[article]
2016
arXiv
pre-print
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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 ...
our method based on DMD theory is effective in comparison with previous state-of-art saliency estimation approaches. ...
They come up with a bottom up saliency model capable of capturing spatial discontinuities in scenes. Following Itty's model, a number of methods have been developed in the literature. ...
arXiv:1607.03021v1
fatcat:phvkr3cbk5ggrpxzgyufokrjom
Video Saliency Detection Using Object Proposals
2017
IEEE Transactions on Cybernetics
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As well as introducing this novel solution for video salient object detection, we reorganize various discriminative saliency cues and traditional saliency assumptions on object proposals. ...
In this paper, we introduce a novel approach to identify salient object regions in videos via object proposals. ...
Video Saliency Detection To detect saliency in dynamic scenes, most video saliency methods are bottom-up [17] - [20] . ...
doi:10.1109/tcyb.2017.2761361
pmid:29990032
fatcat:x2lph2cumzdedfqjd4c4lvw7ei
Spatiotemporal Saliency Detection and Its Applications in Static and Dynamic Scenes
2011
IEEE transactions on circuits and systems for video technology (Print)
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This paper presents a novel method for detecting salient regions in both images and videos based on a discriminant center-surround hypothesis that the salient region stands out from its surroundings. ...
The proposed method has been extensively tested and the results show that the proposed scheme is effective in detecting saliency compared to various state-of-the-art methods. ...
Conclusion A simple and novel algorithm for detecting saliency in both images and videos has been proposed in this paper. ...
doi:10.1109/tcsvt.2011.2125450
fatcat:6stl4b6bzfgm5jrtibd4b3hc3i
A Spatiotemporal Saliency Model for Video Surveillance
2011
Cognitive Computation
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First, a new method for background subtraction and foreground extraction is developed based on content analysis of the scene in the domain of video surveillance. ...
In this paper, we investigate saliency in video sequences and propose a novel spatiotemporal saliency model devoted for video surveillance applications. ...
Next, a novel spatiotemporal model for saliency detection is proposed in ''Multi-feature model for saliency detection''. ...
doi:10.1007/s12559-010-9094-8
fatcat:zt4q3cwd6zea3ehoet7cqvkj74
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