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Sparse Dictionary Learning for Edit Propagation of High-Resolution Images

Xiaowu Chen, Dongqing Zou, Jianwei Li, Xiaochun Cao, Qinping Zhao, Hao Zhang
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
We introduce a method of sparse dictionary learning for edit propagation of high-resolution images or video.  ...  Previous approaches for edit propagation typically employ a global optimization over the whole set of image pixels, incurring a prohibitively high memory and time consumption for high-resolution images  ...  Edit propagation has been a well-studied problem in computer vision and it enables a variety of applications including interactive color or tonal editing, seamless cloning, and image matting.  ... 
doi:10.1109/cvpr.2014.365 dblp:conf/cvpr/ChenZLCZZ14 fatcat:iwvf5ffeufe4jeffv6rsphmtdy

Guest Editorial

Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen
2013 Journal of Mathematical Imaging and Vision  
equations) and their application in image processing, computer vision and computer graphics.  ...  A first series of papers composing this special issue is concerned with the development of sparsity-based mathematical methods for image processing.  ...  Vicent Caselles has been an outstanding mathematician, with the most elegant and major contributions in image processing and computer vision.  ... 
doi:10.1007/s10851-013-0484-x fatcat:hbb5s4l5mfdm3fyzv2efp25ggq

Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering

Laurence Likforman-Sulem, Jérôme Darbon, Elisa H. Barney Smith
2011 Image and Vision Computing  
The final, definitive version of this document can be found online at Image and Vision Computing, Abstract This paper proposes a novel method for document enhancement which combines two recent powerful  ...  The second step is applied to the cleaner image and consists of a filter based on non-local means: character edges are smoothed by searching for similar patch images in pixel neighborhoods.  ...  Research of Jérôme Darbon has been supported by the Office of Naval Research through grant N000140710810.  ... 
doi:10.1016/j.imavis.2011.01.001 fatcat:pywdjaxxtfc4pik5e4xy7wln6y

Graph-Based Methods for Vision: A Yorkist Manifesto [chapter]

Edwin Hancock, Richard C. Wilson
2002 Lecture Notes in Computer Science  
We then proceed to review our contributions under the headings of 1) the probabilistic framework, 2) search and optimisation, 3) matrix methods, 4) segmentation and grouping, 5) learning and 6) applications  ...  This paper provides an overview of our joint work on graphmatching. We commence by reviewing the literature which has motivated this work.  ...  by the computer vision community.  ... 
doi:10.1007/3-540-70659-3_3 fatcat:magj2vz4hfbcdni4krsnvy7ru4

Efficient Alignment and Correspondence Using Edit Distance [chapter]

Paolo Bergamini, Luigi Cinque, Andrew D. J. Cross, Edwin R. Hancock, Stefano Levialdi, Richard Myers
2000 Lecture Notes in Computer Science  
This paper presents work aimed at rendering the dual-step EM algorithm of Cross and Hancock more efficient. The original algorithm integrates the processes of point-set alignment and correspondence.  ...  However, in its original form the algorithm uses a dictionary of structure-preserving mappings to asses the consistency of match. This proves to be a serious computational bottleneck.  ...  Introduction The matching of point-sets is a problem of central importance in computer vision, The process is usually abstracted as either alignment or correspondence.  ... 
doi:10.1007/3-540-44522-6_26 fatcat:ga63ydzml5falpapfdrwvprxoa

Scene Collaging: Analysis and Synthesis of Natural Images with Semantic Layers

Phillip Isola, Ce Liu
2013 2013 IEEE International Conference on Computer Vision  
We exploit this representation for several applications: image editing, random scene synthesis, and image-to-anaglyph.  ...  Starting with a dataset of labeled exemplar scenes, we retrieve a dictionary of candidate object segments that match a query image.  ...  Acknowledgments: We would like to thank Ted Adelson, Bill Freeman, Yair Weiss, and Katie Bouman for helpful discussions.  ... 
doi:10.1109/iccv.2013.457 dblp:conf/iccv/IsolaL13 fatcat:byshbrqhbraubmbqpcfhogb5ku


Paramvir Bahl, Matthai Philipose, Lin Zhong
2012 Proceedings of the third ACM workshop on Mobile cloud computing and services - MCS '12  
We present sample applications that will be empowered by this vision, discuss why the timing is right to tackle it, and offer our initial thoughts on some of the important research challenges.  ...  We argue that for computers to do more for us, we need to show the cloud what we see and embrace cloud-powered sight for mobile users.  ...  ACKNOWLEDGEMENTS The authors are grateful for the useful input from David Chu, Stefan Saroiu, and Cha Zhang from Microsoft Research.  ... 
doi:10.1145/2307849.2307862 fatcat:s5aludze35gd5f5u3yetuxbz4q

Guest Editorial Introduction to the Special Issue on Group and Crowd Behavior Analysis for Intelligent Multicamera Video Surveillance

Hongxun Yao, Andrea Cavallaro, Thierry Bouwmans, Zhengyou Zhang
2017 IEEE transactions on circuits and systems for video technology (Print)  
He is on the Honorary Board of International Journal of Computer Vision and on the Steering Committee of Machine Vision and Applications.  ...  International Journal of Computer Vision, the Machine Vision and Applications journal, and International Journal of Pattern Recognition and Artificial Intelligence.  ... 
doi:10.1109/tcsvt.2017.2669658 fatcat:2a5tdz43uzfytjgyo7mqiych5e

A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting

Inchang Choi, Sunyeong Kim, Michael S. Brown, Yu-Wing Tai
2013 2013 IEEE International Conference on Computer Vision  
Single image matting techniques assume high-quality input images. The vast majority of images on the web and in personal photo collections are encoded using JPEG compression.  ...  To address this situation, we propose a learning-based post-processing method to improve the alpha mattes extracted from JPEG images.  ...  Introduction Single image matting is a problem that has been extensively studied in computer vision and graphics.  ... 
doi:10.1109/iccv.2013.358 dblp:conf/iccv/ChoiKBT13 fatcat:w66v3raacfb5bmrnicjdt5l6c4

Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Applications in Image Analysis [article]

Olivier Guye
2016 arXiv   pre-print
vision; - region-based approach for satellite image analysis.  ...  The second chapter is focusing on the usage of these techniques in satellite imagery and on the development of a satellite data archiving system in the aim of using it in digital geography.  ...  It will afford personal dictionary editing and will allow to create visual libraries that enables editing capitalization and improves editing productivity.  ... 
arXiv:1605.01242v1 fatcat:vay674g5m5b5him7wtcwxxoteu

Pattern Recognition, Part 2

Cheng-Lin Liu, Brian Lovell, Dacheng Tao, Massimo Tistarelli
2016 IEEE Intelligent Systems  
His research interests span computer vision, data science, image processing, machine learning, neural networks, and video surveillance.  ...  Massimo Tistarelli is a professor of computer science and director of the Computer Vision Laboratory at the University of Sassari, Italy.  ... 
doi:10.1109/mis.2016.55 fatcat:nobzymgdbrglpeczf6bqihfg54

Bayesian graph edit distance

R. Myers, R.C. Wison, E.R. Hancock
2000 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The paper develops the idea of edit-distance originally introduced for graph-matching by Sanfeliu and Fu [1] .  ...  The use of edit-distance offers an elegant alternative to the exhaustive compilation of label dictionaries. Moreover, the method is polynomial rather than exponential in its worst-case complexity.  ...  The first of these is the complexity of computing the distance measure. The second is the number of distance computations that must be performed.  ... 
doi:10.1109/34.862201 fatcat:67g6xlon35gcbc63bndp4ayxfq

Page 710 of SMPTE Motion Imaging Journal Vol. 73, Issue 8 [page]

1964 SMPTE Motion Imaging Journal  
Price $6.95. his second edition of the dictionary has been expanded to include more than 2,000 idditional definitions, making it one of the most complete in its field.  ...  For those engineers in related fields, the dictionary would be a most useful reference. In brief, this new and improved edition of an already good dic- a good addition H.  ... 

Object Tracking in Occlusion and Contrast Conditions using Patch-wise Sparse Method

Yashesh Joshi, Charusat University, Hiren Mewada, Prince Mohammad Bin Fahd University
2020 International Journal of Intelligent Engineering and Systems  
Object detection and tracking is one of the active areas of studies because of variation in object location, pose, illumination, scale and occlusion.  ...  Singular object tracking (SOT) is an important task in human-computer interaction, anonymous tracking in the robotic application and security analysis.  ...  Author Contributions The contribution of author is given below: Writing and Implementation: Yashesh Joshi Conceptualization, supervision, review and editing: Hiren Mewada.  ... 
doi:10.22266/ijies2020.1031.27 fatcat:3mb6iumxe5dndh25xuyxc2dt6i

Deterministic search for relational graph matching

Mark L. Williams, Richard C. Wilson, Edwin R. Hancock
1999 Pattern Recognition  
(Comput. Vision Image Understanding 72 (1998) 20}38') We investigate two classes of update process. The "rst of these aims to exploit discrete gradient ascent methods. We investigate the e!  ...  ers signi"cant performance advantages in terms of accuracy of match. Our second search strategy is based on tabu search.  ...  He has published about 180 refereed papers in the "elds of high energy nuclear physics, computer vision, image processing and pattern recognition.  ... 
doi:10.1016/s0031-3203(98)00152-6 fatcat:rolu5y2k75h2rgu56qjh66kjmm
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