free research papers-image Segmentation



segmentation refers to the process of partitioning a digital image into multiple segments (sets of pixels, also known as superpixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics.
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic(s).[1] When applied to a stack of images, typical in Medical imaging, the resulting contours after image segmentation can be used to create 3D reconstructions with the help of interpolation algorithms like Marching cubes.

free research papers

Guofeng Zhang, Jiaya Jia, Wei Hua, Hujun Bao, Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 33, No. 3, 2011, Pages 603-617.

Guofeng Zhang, Hanqing Jiang, Jin Huang, Jiaya Jia, Tien-Tsin Wong, Kun Zhou, Hujun Bao, Motion Imitation with a Handheld Camera, research Transactions on Visualization and Computer Graphics (TVCG), accepted.

Tai-Pang Wu*, Chi-Wing Fu, Sai-Kit Yeung, Jiaya Jia, and Chi-Keung Tang, Modeling and Rendering of Impossible Figures, ACM Transactions on Graphics (TOG), Vol. 29, No. 2, 2010. Accepted for presentation in SIGGRAPH 2010.
(paper)

Wei Feng*, Jiaya Jia, Zhi-Qiang Liu, Self-Validated Labeling of Markov Random Fields for Image Segmentation, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 32, No. 10, 2010, Pages 1871-1887.
Qi Shan*, Jiaya Jia, Michael S. Brown, Globally Optimized Linear Windowed Tone-Mapping, research Transactions on Visualization and Computer Graphics (TVCG), Vol. 16, No. 4, 2010, Pages 663-675.
(code)
Guofeng Zhang, Zilong Dong, Jiaya Jia, Liang Wan, Tien-Tsin Wong, and Hujun Bao, Re-filming with Depth-inferred Videos, research Transactions on Visualization and Computer Graphics (TVCG), Vol. 15, No. 5, 2009, Pages 828-840.

Guofeng Zhang, Jiaya Jia, Tien-Tsin Wong, Hujun Bao, Consistent Depth Maps Recovery from a Video Sequence, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 31, No. 6, 2009. (3D video data)

Wei Xiong*, Hin Shun Chung*, and Jiaya Jia, Fractional Stereo Matching Using Expectation-Maximization, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 31, No. 3, 2009.

Qi Shan*, Zhaorong Li*, Jiaya Jia, and Chi-Keung Tang, Fast Image/Video Upsampling, ACM Transactions on Graphics (SIGGRAPH ASIA 2008), Vol. 27, 2008.

Qi Shan*, Jiaya Jia, and Aseem Agarwala, High-Quality Motion Deblurring From a Single Image, ACM Transactions on Graphics (SIGGRAPH 2008), Vol. 27, No. 3, 2008.

Jiaya Jia and Chi-Keung Tang, Image Stitching Using Structure Deformation. research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 30, No. 4, 2008.

Yu-Wing Tai, Jiaya Jia, and Chi-Keung Tang, Soft Color Segmentation and its Applications. research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 29, No. 9, 2007, pages 1520-1537.

Jiaya Jia, Jian Sun, Chi-Keung Tang, and Heung-Yeung Shum, Drag-and-Drop Pasting. ACM Transactions on Graphics (SIGGRAPH 2006).

Jiaya Jia, Yu-Wing Tai, Tai-Pang Wu, and Chi-Keung Tang, Video Repairing Under Variable Illumination Using Cyclic Motions, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 28, no. 5, 2006.

Jian Sun, Lu Yuan, Jiaya Jia, and Heung-Yeung Shum, Image Completion with Structure Propagation, ACM Transactions onGraphics (SIGGRAPH 2005).
(video:wmv)
Jian Sun, Jiaya Jia, Chi-Keung Tang, and Heung-Yeung Shum, Poisson Matting, ACM Transactions on Graphics (SIGGRAPH 2004), vol. 23, no. 3, July 2004, pages 315-321.

Jiaya Jia and Chi-Keung Tang, Tensor Voting for Image correction by Global and Local Intensity Alignment, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 27, no. 1, 2005.

Jiaya Jia and Chi-Keung Tang, Inference of Segmented Color and Texture Description by Tensor Voting, research Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 26, no.6, 2004, pages 771-786.

Selected Conference Publications:
Li Xu* and Jiaya Jia, Two-Phase Kernel Estimation for Robust Motion Deblurring, European Conference on Computer Vision (ECCV), 2010.

(executable)
Guofeng Zhang, Zilong Dong, Jiaya Jia, Tien-Tsin Wong, and Hujun Bao, Efficient Non-Consecutive Feature Tracking for Structure-from-Motion, European Conference on Computer Vision (ECCV), 2010.

Li Xu*, Jiaya Jia, and Yasuyuki Matsushita, Motion Detail Preserving Optical Flow Estimation, research Conference on Computer Vision and Pattern Recognition (CVPR), 2010. (oral)
(technical report) (executable) (data)

Qi Shan, Jiaya Jia, Sing Bing Kang, and Zenglu Qin*, Using Optical Defocus to Denoise, research Conference on Computer Vision and Pattern Recognition (CVPR), 2010. (technical report)

Tai-Pang Wu*, Sai-Kit Yeung, Jiaya Jia, and Chi-Keung Tang, Quasi-Dense 3D Reconstruction using Tensor-based Multiview Stereo, research Conference on Computer Vision and Pattern Recognition (CVPR), 2010. (

Open source software development should strive for even greater code maintainability
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Unlike the traditional closed source software (CSS), OSS can be freely used, modified, and redistributed. Its source code is also freely accessible A study of almost six million lines of code tracks how freely accessible source code holds up against time and multiple iterations

Static source code checking for user-defined properties
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Only a small fraction of the output generated by typical static analysis tools tends to reveal serious software defects. There are two main causes for this phenomenon. The first is that the typical static analyzer casts its nets too broadly, reporting everything reportable, rather

Plaggie: GNU-licensed source code plagiarism detection engine for Java exercises
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ABSTRACT A source code plagiarism detection engine Plaggie is presented. It is a stand- alone Java application that can be used to check Java programming exercises. Plaggies functionality is similar with previously published JPlag web service but unlike JPlag, Plaggie

A convolutional attention network for extreme summarization of source code
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Attention mechanisms in neural networks have proved useful for problems in which the input and output do not have fixed dimension. Often there exist features that are locally translation invariant and would be valuable for directing the models attention, but previous attentional

Using Heuristic Search Techniques To Extract Design Abstractions From Source Code .
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As modern software systems are large and complex, appropriate abstractions of their structure are needed to make them more understandable and, thus, easier to maintain. Software clustering tools are useful to support the creation of these abstractions. In this

Identifying authorship by byte-level n-grams: The source code author profile (scap) method
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Source code author identification deals with identifying the most likely author of a computer program, given a set of predefined author candidates. There are several scenarios where digital evidence of this kind plays a role in investigation and adjudication, such as code

Structured generative models of natural source code
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We study the problem of building generative models of natural source code (NSC); that is, source code written by humans and meant to be understood by humans. Our primary contribution is to describe new generative models that are tailored to NSC. The models are

Bimodal modelling of source code and natural language
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We consider the problem of building probabilistic models that jointly model short natural language utterances and source code snippets. The aim is to bring together recent work on statistical modelling of source code and work on bimodal models of images and natural

Reading source code .
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Source code is, among other things, a text to be read. In this paper I argue that reading source code is a key activity in software maintenance, and that we can profitably apply experiences and reading systems from text databases to the problem of reading source

Visualizing Software Product Line Variabilities in Source Code .
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Implementing software product lines is a challenging task. Depending on the implementation technique the code that realizes a feature is often scattered across multiple code units. This way it becomes difficult to trace features in source code which hinders

Source code instrumentation and quantification of events
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ABSTRACT Aspect-Oriented Programming is making quantified programmatic assertions over programs that otherwise are not annotated to receive these assertions. Varieties of AOP systems are characterized by which quantified assertions they allow, what they permit in the

A UNIX clone with source code for operating systems courses
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Students learn by doing, not by listening. Physicists and chemists have long understood this, which is why students in these fields are required to perform experiments in the laboratory and write up their findings. Computer scientists also realize this basic truth, so many courses

Architecture of a source code exploration tool: A software engineering case study
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We discuss the design of a software system that helps software engineers (SEs) to perform the task we call just in time comprehension (JITC) of large bodies of source code . We discuss the requirements for such a system and how they were gathered by studying SEs at

Phishing websites detection based on phishing characteristics in the webpage source code
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ABSTRACT World Wide Web Consortium (W3C) is the international standards organization for the World Wide Web (www). It develops standards, specifications and recommendations to enhance the interoperability and maximize consensus about the content of the web and

IRiSS-A Source Code Exploration Tool.
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Abstract IRiSS (Information Retrieval based Software Search) is a software exploration tool that uses an indexing engine based on an information retrieval method. IRiSS is implemented as an add-in to the Visual Studio .NET development environment and it allows

Source code review of the Diebold voting system
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This report is a security analysis of the Diebold voting system, which consists primarily of the AccuVote-TSX (AV-TSX) DRE, the AccuVote-OS (AV-OS) optical scanner, and the GEMS election management system. It is based on a study of the systems source code that we

Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code .
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Bug reports provide an effective way for end-users to disclose potential bugs hidden in a software system, while automatically locating the potential buggy source code according to a bug report remains a great challenge in software maintenance. Many previous studies

PDE4Java: Plagiarism Detection Engine For Java, Source Code : A Clustering Approach.
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The educational community across the world is facing the increasing problem of plagiarism. This widespread problem has motivated the need of an efficient, robust and fast detection procedure that is difficult to be achieved manually. The Plagiarism Detection Engine for Java

Intent operationalisation for source code generation
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In the research on software development, there was less achievement in an efficient general development methodology that could be effective and sufficient in dealing with a wide range of software problems related to different domains. Also a challenge of having a universal
) (technical report) (video)

Zilong Dong, Guofeng Zhang, Jiaya Jia, and Hujun Bao, Keyframe-Based Real-Time Camera Tracking, research International Conference on Computer Vision (ICCV), 2009.
(video)

Carsten Rother, Pushmeet Kohli, Wei Feng*, and Jiaya Jia, Minimizing Sparse Higher Order Energy Functions of Discrete Variables, research Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

Li Xu*, Jianing Chen*, and Jiaya Jia, Segmentation Based Variational Model for Accurate Optical Flow Estimation, European Conference on Computer Vision (ECCV), 2008. (evaluation)(video: wmv)

Li Xu* and Jiaya Jia, Stereo Matching: An Outlier Confidence Approach, European Conference on Computer Vision (ECCV), 2008. (evaluation)

Guofeng Zhang, Jiaya Jia, Tien-Tsin Wong, and Hujun Bao, Recovering Consistent Video Depth Maps via Bundle Optimization, research Conference on Computer Vision and Pattern Recognition (CVPR), 2008. (oral)

Renting Liu*, Zhaorong Li*, and Jiaya Jia, Image Partial Blur Detection and Classification, research Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

Hin Shun Chung* and Jiaya Jia, Efficient Photometric Stereo on Glossy Surfaces with Wide Specular Lobes, research Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

Guofeng Zhang, Jiaya Jia, Wei Xiong*, Tien-Tsin Wong, Pheng-Ann Heng, Hujun Bao, Moving Object Extraction with a Hand-held Cameraresearch International Conference on Computer Vision (ICCV), 2007.
(video: wmv)

Qi Shan*, Wei Xiong*, Jiaya Jia, Rotational Motion Deblurring of a Rigid Object from a Single Image, research International Conference on Computer Vision (ICCV), 2007.

Jiaya Jia, Single Image Motion Deblurring Using Transparency, research Conference on Computer Vision and Pattern Recognition (CVPR), 2007. (oral)

Wei Xiong* and Jiaya Jia, Stereo Matching on Objects with Fractional Boundary, research Conference on Computer Vision and Pattern Recognition (CVPR), 2007.

Jiaya Jia and Chi-Keung Tang, Eliminating Structure and Intensity Misalignment in Image Stitching, research International Conference on Computer Vision (ICCV), 2005.

Yu-Wing Tai, Jiaya Jia, and Chi-Keung Tang, Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization, research Conference on Computer Vision and Pattern Recognition (CVPR), 2005, Pages I: 747-754.

Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, and Chi-Keung Tang, Video Repairing: Inference of Foreground and Background Under Severe Occlusion, research Conference on Computer Vision and Pattern Recognition (CVPR), June-July 2004, Pages I: 364-371.

Jiaya Jia, Jian Sun, Chi-Keung Tang, and Heung-Yeung Shum, Bayesian Correction of Image Intensity with Spatial Consideration, the 8th European Conference on Computer Vision (ECCV), May 2004, Pages III: 342-354.

Jiaya Jia and Chi-Keung Tang, Image Registration with Global and Local Luminance Alignment, 9th research International Conference on Computer Vision (ICCV), October 2003, pages 156-163.

Jiaya Jia and Chi-Keung Tang, Image Repairing: Robust Image Synthesis by Adaptive ND Tensor Voting, research Conference on Computer Vision and Pattern Recognition (CVPR), June 2003, pages I: 643-650. (oral)

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