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SLIC Superpixels Compared to State-of-the-Art Superpixel Methods [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Computer vision applications have come to rely increasingly on superpixels in recent years, but it is not always clear what constitutes a good superpixel algorithm. In an effort to understand the benefits and drawbacks of existing methods, we empirically compare five state-of-the-art superpixel algorithms for their ability to adhere to image boundaries,
Appu Shaji +2 more
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Superpixel-Based Spatiotemporal Saliency Detection
IEEE Transactions on Circuits and Systems for Video Technology, 2014 International audienceThis paper proposes a superpixel-based spatiotemporal saliency model for saliency detection in videos. Based on the superpixel representation of video frames, motion histograms and color histograms are extracted at superpixel level ...
Zhi Liu, Xiang Zhang, Olivier Le Meur
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Superpixel segmentation: A benchmark
Signal Processing: Image Communication, 2017Abstract Various superpixel approaches have been published recently. These algorithms are assessed using different evaluation metrics and datasets resulting in discrepancy in algorithm comparison. This calls for a benchmark to compare the state-of-the-arts methods and evaluate their pros and cons.
Xiabi Liu, Nouman Q Soomro
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2011 International Conference on Computer Vision, 2011
While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
Shu Wang +3 more
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While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large change in scale, motion, shape deformation with occlusion. One of the main reasons is the lack of effective image representation to account for appearance variation.
Shu Wang +3 more
openaire +1 more source
2015 IEEE International Conference on Image Processing (ICIP), 2015
As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu +2 more
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As a pre-processing tool, superpixel algorithms have been popular used in many computer-vision applications. High efficiency is a desired property of superpixel algorithms, especially in real-time vision systems. In this paper, a novel high-efficient superpixel algorithm is developed based on the watershed algorithm, namely the spatial-constrained ...
Zhongwen Hu +2 more
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Superpixel Convolution for Segmentation
2018 25th IEEE International Conference on Image Processing (ICIP), 2018In this paper, we propose a novel segmentation algorithm based on convolutional neural networks (CNNs) on superpix-else CNNs are powerful methods for several computer vision tasks, but spatial information disappears through the pooling process.
Teppei Suzuki +3 more
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Superpixel Endmember Detection
IEEE Transactions on Geoscience and Remote Sensing, 2010Superpixels are homogeneous image regions comprised of multiple contiguous pixels. Superpixel representations can reduce noise in hyperspectral images by exploiting the spatial contiguity of scene features. This paper combines superpixels with endmember extraction to produce concise mineralogical summaries that assist in browsing large image catalogs ...
David R. Thompson 0001 +3 more
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Spherical superpixel segmentation
2016 IEEE International Conference on Multimedia and Expo (ICME), 2016In this paper, we present a superpixel generation method for spherical images, which cover 360° field-of-view. Unlike previous works that directly use existing superpixel algorithms on unrolled spherical images, our approach explicitly considers the geometry for spherical images and uses sphere as the underlying representation.
Qiang Zhao 0005, Liang Wan, Jiawan Zhang
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Signal, Image and Video Processing, 2013
Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu 0001 +2 more
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Superpixels provide an over-segmentation representation of a natural image. However, they lack information of the entire object. In this paper, we propose a method to obtain superpixels through a merging strategy based on the bottom-up saliency values of superpixels.
Linfeng Xu 0001 +2 more
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An evaluation of the compactness of superpixels
Pattern Recognition Letters, 2014Abstract Superpixel segmentation is the oversegmentation of an image into a connected set of homogeneous regions. Depending on the algorithm, superpixels have specific properties. One property that almost all authors claim for their superpixels is compactness.
Schick, A. +2 more
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