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检索条件"机构=Image and Visual Computing Lab"

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Special issue: Geometric modeling and computer graphics

引用

COMPUTERS & GRAPHICS-UK 2002年第5期26卷 653-654页

作者： Kim, MH Fischer, A Medical Image Visual Computing Lab. Comp. Graphics/Virtual Reality Ctr. Ewha Woman's University Seoul Korea Republic of

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Special issue: Geometric modeling and computer graphics

Special issue: Geometric modeling and computer graphics

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作者： Kim, Myoung Hee Fischer, A. Medical Image Visual Computing Lab. Comp. Graphics/Virtual Reality Ctr. Ewha Woman's University Seoul Korea Republic of

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End-to-end, single-stream temporal action detection in untrimmed videos 28

End-to-end, single-stream temporal action detection in untri...

引用

28th British Machine Vision Conference, BMVC 2017

作者： Buch, Shyamal Escorcia, Victor Ghanem, Bernard Fei-Fei, Li Niebles, Juan Carlos Stanford Vision and Learning Lab. Dept. of Computer Science Stanford University United States Image and Video Understanding Lab. Visual Computing Center KAUST Saudi Arabia

ISBN: (纸本)190172560X

In this work, we present a new intuitive, end-to-end approach for temporal action detection in untrimmed videos. We introduce our new architecture for Single-Stream Temporal Action Detection (SS-TAD), which effectively integrates joint action detection with its semantic sub-tasks in a single unifying end-to-end framework. We develop a method for training our deep recurrent architecture based on enforcing semantic constraints on intermediate modules that are gradually relaxed as learning progresses. We find that such a dynamic learning scheme enables SS-TAD to achieve higher overall detection performance, with fewer training epochs. By design, our single-pass network is very efficient and can operate at 701 frames per second, while simultaneously outperforming the state-of-the-art methods for temporal action detection on THUMOS’14. © 2017. The copyright of this document resides with its authors.

关键词： Semantics

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Just noticeable defocus blur detection and estimation

Just noticeable defocus blur detection and estimation

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Jianping Shi Li Xu Jiaya Jia Chinese University of Hong Kong New Territories HK Image & Visual Computing Lab Lenovo R&T China Lenovo R&T Image & Visual Computing Lab

ISBN: (纸本)9781467369657

We tackle a fundamental problem to detect and estimate just noticeable blur (JNB) caused by defocus that spans a small number of pixels in images. This type of blur is common during photo taking. Although it is not strong, the slight edge blurriness contains informative clues related to depth. We found existing blur descriptors based on local information cannot distinguish this type of small blur reliably from unblurred structures. We propose a simple yet effective blur feature via sparse representation and image decomposition. It directly establishes correspondence between sparse edge representation and blur strength estimation. Extensive experiments manifest the generality and robustness of this feature.

关键词： Dictionaries Estimation image edge detection image reconstruction Kernel Standards Cameras

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Joint Depth Estimation and Camera Shake Removal from Single Blurry image

Joint Depth Estimation and Camera Shake Removal from Single ...

引用

IEEE Conference on Computer Vision and Pattern Recognition

作者： Zhe Hu Li Xu Ming-Hsuan Yang University of California Merced Image and Visual Computing Lab Lenovo R & T

Camera shake during exposure time often results in spatially variant blur effect of the image. The non-uniform blur effect is not only caused by the camera motion, but also the depth variation of the scene. The objects close to the camera sensors are likely to appear more blurry than those at a distance in such cases. However, recent non-uniform deblurring methods do not explicitly consider the depth factor or assume fronto-parallel scenes with constant depth for simplicity. While single image non-uniform deblurring is a challenging problem, the blurry results in fact contain depth information which can be exploited. We propose to jointly estimate scene depth and remove non-uniform blur caused by camera motion via exploiting their underlying geometric relationships, with only single blurry image as input. To this end, we present a unified layer-based model for depth-involved deblurring. We provide a novel layer-based solution using matting to partition the layers and an expectation-maximization scheme to solve this problem. This approach largely reduces the number of unknowns and makes the problem tractable. Experiments on challenging examples demonstrate that both depth and camera shake removal can be well addressed within the unified framework.

关键词： Cameras Estimation Optimization image edge detection image restoration Deconvolution Smoothing methods

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Operational rate-distortion shape coding with dual error regularization

Operational rate-distortion shape coding with dual error reg...

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作者： Lai, Zhongyuan Zhang, Fan Lin, Weisi Institute for Interdisciplinary Research Jianghan University Wuhan430056 China Image and Visual Computing Lab Lenovo Group Ltd. 999077 Hong Kong School of Computer Engineering Nanyang Technological University 639798 Singapore

ISBN: (纸本)9781479957514

Existing operational rate-distortion shape coding aims at finding a polygon which can be encoded with the lowest bit rate under a given upper bound on the edge error. However, this upper bound may cause noticeable errors. Therefore, we add an 2-norm error regularization term to the objective function, and seek the globally optimal solution using a shortest path algorithm for a weighted directed acyclic graph. Experiments confirm the accuracy and robustness of our method. © 2014 IEEE.

关键词： Errors

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100+ Times Faster Weighted Median Filter (WMF)

100+ Times Faster Weighted Median Filter (WMF)

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Qi Zhang Li Xu Jiaya Jia The Chinese University of Hong Kong Image & Visual Computing Lab Lenovo R&T

ISBN: (纸本)9781479951192

Weighted median, in the form of either solver or filter, has been employed in a wide range of computer vision solutions for its beneficial properties in sparsity representation. But it is hard to be accelerated due to the spatially varying weight and the median property. We propose a few efficient schemes to reduce computation complexity from O(r2) to O(r) where r is the kernel size. Our contribution is on a new joint-histogram representation, median tracking, and a new data structure that enables fast data access. The effectiveness of these schemes is demonstrated on optical flow estimation, stereo matching, structure-texture separation, image filtering, to name a few. The running time is largely shortened from several minutes to less than 1 second. The source code is provided in the project website.

关键词： Histograms Acceleration Indexes Complexity theory image color analysis Kernel Data structures

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Discriminative Blur Detection Features

Discriminative Blur Detection Features

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Jianping Shi Li Xu Jiaya Jia The Chinese University of Hong Kong Lenovo R&T Image & Visual Computing Lab

ISBN: (纸本)9781479951192

Ubiquitous image blur brings out a practically important question - what are effective features to differentiate between blurred and unblurred image regions. We address it by studying a few blur feature representations in image gradient, Fourier domain, and data-driven local filters. Unlike previous methods, which are often based on restoration mechanisms, our features are constructed to enhance discriminative power and are adaptive to various blur scales in images. To avail evaluation, we build a new blur perception dataset containing thousands of images with labeled ground-truth. Our results are applied to several applications, including blur region segmentation, deblurring, and blur magnification.

关键词： Kernel visualization image restoration Discrete Fourier transforms Feature extraction Deconvolution

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OPERATIONAL RATE-DISTORTION SHAPE CODING WITH DUAL ERROR REGULARIZATION

OPERATIONAL RATE-DISTORTION SHAPE CODING WITH DUAL ERROR REG...

引用

IEEE International Conference on image Processing

作者： Zhongyuan Lai Fan Zhang Weisi Lin Institute for Interdisciplinary Research Jianghan University Image and Visual Computing Lab Lenovo Group Ltd. School of Computer Engineering Nanyang Technological University

ISBN: (纸本)9781479957521

Existing operational rate-distortion shape coding aims at finding a polygon which can be encoded with the lowest bit rate under a given upper bound on the edge error. However, this upper bound may cause noticeable errors. Therefore, we add an l_2-norm error regularization term to the objective function, and seek the globally optimal solution using a shortest path algorithm for a weighted directed acyclic graph. Experiments confirm the accuracy and robustness of our method.

关键词： Shape coding Operational rate-distortion theory Dual error regularization Shortest path algorithm

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User-centric digital home photo album

User-centric digital home photo album

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9th International Symposium on Consumer Electronics 2005, ISCE 2005

作者： Yang, Seungji Seo, Kyong Sok Ro, Yong Man Kim, Sang-Kyun Kim, Ji-Yeon Seo, Yang Suk Information and Communications Univ. Munji 119 Yuseong Daejeon Korea Republic of Image Video Systems Lab. Korea Republic of Samsung Advanced Institute of Technology San 14-1 Giheung Yongin Korea Republic of ICU Korea Republic of SPIE Korea Republic of ISMRM Korea Republic of Computing Lab. Digital Research Center Korea Republic of MPEG-7 Visual Core Experiment Group Korea Republic of MPEG Image MAP Group Korea Republic of

In this paper, we propose a provision of usercentric home photo album system and albuming functions to support it. The main idea of the user-centric photo album is to enable users to organize and browse their photos along the semantically meaningful axes that are situation, personidentity, and category. Experiment results showed that the proposed method would be useful to album photos based on human perception. © IEEE.

关键词： Digital communication systems

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