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5th National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Nath, Chayanika D. Hazarika, Shyamanta M. Tezpur Univ Sch Engn Biomimet & Cognit Robot Lab Comp Sci & Engn Tezpur 784028 India

ISBN: (纸本)9781467385640

Everyday spatio-temporal reasoning is driven through qualitative abstractions over mental maps or 'diagrams'. Diagrammatic reasoning involves direct manipulation and inspection of diagrams as the primary means of inference. Diagrammatic representation offer computational advantage in problems where spatial relationships play a prominent role. In video, objects change spatial relationships over time. Therefore, combining diagrammatic reasoning with qualitative spatial and temporal reasoning holds promise. In this paper, we put forward a framework combining diagrammatic representation with qualitative spatial and temporal reasoning for motion event detection in video. Key frames with tracked objects for a given video are extracted. These frames in forward moving time are represented using specified;'diagrams'. A set of perception function is defined exploiting results from diagrammatic reasoning and qualitative spatial and temporal reasoning for determining spatial relations between objects of interest. Inter diagrammatic reasoning operator is used to combine sequence of diagrams for extracting spatio-temporal changes. Diagram modification function is defined exploiting results from qualitative reasoning to extract directional information. Considering extracted relative position and relative direction of displacement as features, we use supervised machine learning techniques to recognize motion events in video. The approach is tested in videos with few people/groups meeting, walking together and splitting up/fighting from the CAVIAR dataset.

关键词： Graphic methods

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An IDE-agnostic system to capture reading behaviour of C++ programs using eye-gaze tracker 5

An IDE-agnostic system to capture reading behaviour of C++ p...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2015

作者： Mondal, Sayani Das, Partha Pratim Rajendra Mishra School of Engineering Entrepreneurship Indian Institute of Technology Kharagpur721302 India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur721302 India

ISBN: (纸本)9781467385640

Over 70% of software development effort is spent in software maintenance comprising bug fixes and version updates. These activities involve fast comprehension of large codebases authored by multiple developers. Developers are mostly trained to write code while in practice they often need to read code. Hence effective and efficient systems are needed to assess the code reading ability of developers. © 2015 IEEE.

关键词： Eye tracking

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Context aware exemplar-based image inpainting using adaptive image division

Context aware exemplar-based image inpainting using adaptive...

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2015 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015

作者： Bano, Jainab Toshniwal, Durga Computer Science and Engineering Department Indian Institute of Technology RoorkeeUttarakhand India

ISBN: (纸本)1601324049

image inpainting is the process to reconstruct the missing or corrupted regions of the images. This paper presents context aware exemplar based image inpainting using adaptive image division technique. In previous inpainting techniques, complete image is searched for filling the missing region. In the proposed method, adaptive image division technique is used to reduce the search space. A new priority term is also introduced for defining the order of searching for best-first patch. Experimental results on benchmark images demonstrate the improvement and significant acceleration of related exemplar based method. © International conference on image processing, computer vision, and Pattern Recognition, IPCV *** right reserved.

关键词： computer vision

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Hand-drawn Line Removal from Bangla Printed Document images

Hand-drawn Line Removal from Bangla Printed Document Images

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IEEE International conference on computer graphics, vision and Information Security (CGVIS)

作者： Banerjee, Tamali Biswas, Samit Indian Inst Engn Sci & Technol Dept Comp Sci & Technol Sibpur 711103 Howrah India

ISBN: (纸本)9781467374378

Every document holds some sorts of information. Paper documents especially old paper document provide a wealth of information about every aspect of the society and civilization. So these paper documents are being converted to electronic form for better storage, processing and analysis. The people, especially students while reading a book or documents have a tendency to mark important lines through the pen. To preserve these types of documents electronically, these lines need to be removed. This paper proposed a method to remove hand drawn lines from scanned paper document images. As there is no any benchmark database, we also proposed a dataset consisting of document images with hand-drawn lines (made it publicly available). The proposed method is tested on this dataset and the results are encouraging.

关键词： document image Connected Components degraded document

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Resolution enhancement of single image by using multiple training images

Resolution enhancement of single image by using multiple tra...

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2015 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015

作者： Choudhary, Yogesh Kashyap, Manish Kumar, Sandeep Pal, Swaraj Singh Bhattacharya, Mahua Indian Institute of Information Technology and Management GwaliorM.P. India

ISBN: (纸本)1601324049

In recent days most digital imaging devices i.e. the high resolution images or videos are playing a critical role in the areas of image processing and application. They too are becoming helpful in the areas of medical diagnosis. This type of images is basically helpful in the pictorial information of human understanding. The algorithm of single image super-resolution is presented which are basically based on spatial and wavelet domain and take the advantage of both. Now in virtual world when we take an object then its resolution of a target image is quite perfect and do not distort when we actually zoom it but this is not the case with the real world image data in which we need to apply some of the techniques by which the image do not get distorted. © International conference on image processing, computer vision, and Pattern Recognition, IPCV *** right reserved.

关键词： Diagnosis

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FAST AND ACCURATE BILATERAL FILTERING USING GAUSS-POLYNOMIAL DECOMPOSITION

FAST AND ACCURATE BILATERAL FILTERING USING GAUSS-POLYNOMIAL...

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IEEE International conference on image processing (ICIP)

作者： Chaudhury, Kunal N. Indian Inst Sci Dept Elect Engn Bangalore 560012 Karnataka India

ISBN: (纸本)9781479983391

The bilateral filter is a versatile non-linear filter that has found diverse applications in image processing, computer vision, computer graphics, and computational photography. A common form of the filter is the Gaussian bilateral filter in which both the spatial and range kernels are Gaussian. A direct implementation of this filter requires O(sigma(2)) operations per pixel, where sigma is the standard deviation of the spatial Gaussian. In this paper, we propose an accurate approximation algorithm that can cut down the computational complexity to O(1) per pixel for any arbitrary sigma (constant-time implementation). This is based on the observation that the range kernel operates via the translations of a fixed Gaussian over the range space, and that these translated Gaussians can be accurately approximated using the so-called Gauss-polynomials. The overall algorithm emerging from this approximation involves a series of spatial Gaussian filtering, which can be efficiently implemented (in parallel) using separability and recursion. We present some preliminary results to demonstrate that the proposed algorithm compares favorably with some of the existing fast algorithms in terms of speed and accuracy.

关键词： Bilateral filter approximation Gauss-polynomial convolution fast algorithm

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Real-time hands-free immersive image navigation system using Microsoft Kinect 2.0 and Leap Motion Controller 5

Real-time hands-free immersive image navigation system using...

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5th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2015

作者： Sreejith, M. Rakesh, Siddharth Gupta, Samik Biswas, Samprit Das, Partha Pratim Department of Computer Science and Engineering Indian Institute of Technology Kharagpur721302 India

ISBN: (纸本)9781467385640

This paper presents a real-time hands-free immersive image navigation system that can respond to various gestures and voice commands. We combine Microsoft Kinect 2.0 and Leap Motion Controller, on a single platform, to define a wide range of hand and finger gestures, and voice commands. Using these we create a robust and natural immersive image navigation experience. At present, the immersive environment is simulated using an 1×3 array of 17 inch Dell monitors. For gesture recognition we use three different algorithms, depending on the nature of gesture and the sensor used to capture it. We use Microsoft Speech API to integrate voice commands to the system. Experiments are conducted with 5 subjects each performing 10 gestures each. The system achieves a user accuracy ranging from 94% to 100% for different hands-free controls. We are currently integrating other sensors including an Eye-Gaze Tracker and extending to 2×4 array of monitors for better immersive experience. © 2015 IEEE.

关键词： Navigation systems

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Foreword

Proceedings of the 2016 International Conference on Image Pr...

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proceedings of the 2016 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2016 2016年

作者： Abd-Wahab, Mohd Helmy Al-Bakry, Abbas Al-Holou, Nizar Arabnia, Hamid R. Bhattacharya, Mahua Martinez Castillo, Juan Jose Daimi, Kevin Deligiannidis, Leonidas Djoudi, Lamia Atma Duong, Trung Eshaghian-Wilner, Mary Mehrnoosh Gravvanis, George A. Huang, Ruizhu Jandieri, George Kim, Byung-Gyu Kim, Tai-hoon Korovin, Iakov Lai, Guoming Lee, Hyo Jong Bin Mansor, Muhammad Naufal Marsh, Andrew Mostafaeipour, Ali Park, James J. Patil, Shashikant Ponalagusamy, R. Schaefer, Gerald Singh, Akash Solo, Ashu M.G. Swee, Sim Kok Thomas, Jaya Tinetti, Fernando G. Vladimir, Hahanov Wang, Shiuh-Jeng Yang, Mary Yoe, Hyun You, Jane Zhao, Wenbing Department of Computer Engineering University Tun Hussein Onn Malaysia Malaysia University of IT and Communications Baghdad Iraq Electrical and Computer Engineering Department IEEE/SEM-Computer Chapter University of Detroit Mercy DetroitMI United States University of Georgia United States ABV Indian Institute of Information Technology and Management MHRD Government of India India Acantelys Alan Turing Nikola Tesla Research Group and GIPEB Universidad Nacional Abierta Venezuela Computer Science and Software Engineering Programs Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States Department of Computer Information Systems Wentworth Institute of Technology BostonMA United States Synchrone Technologies France Rutgers University State University of New Jersey New Jersey United States University of Southern California California United States Electrical Engineering University of California Los Angeles Los Angeles [UCLA CA United States Advanced Scientific Computing Applied Math and Applications Research Group Applied Mathematics and Numerical Computing and Department of ECE School of Engineering Democritus University of Thrace Xanthi Greece Texas Advanced Computing Center University of Texas AustinTX United States Georgian Technical University Tbilisi Georgia Institute of Cybernetics Georgian Academy of Science Georgia Multimedia Processing CommunicationsLab.[MPCL Department of Computer Science and Engineering College of Engineering SunMoon University Korea Republic of School of Information and Computing Science University of Tasmania Australia Southern Federal University Russia Computer Science and Technology Sun Yat-Sen University Guangzhou China Center for Advanced Image and Information Technology Division of Computer Science and Engineering Chonbuk National University Korea Republic of Faculty of Engineering Technology Kampus Uniciti Alam Universiti Malaysia Perlis UniMAP Malaysi

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Handwritten text recognition in Odia script using Hidden Markov Model

Handwritten text recognition in Odia script using Hidden Mar...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Suman Bhoi D. P. Dogra P. P. Roy School of Electrical Sciences Indian Institute of Technology Bhubaneswar India Department of Computer Science and Engineering Indian Institute of Technology Roorkee India

This paper presents a system for unconstrained handwritten Odia text recognition using Hidden Markov Model (HMM) framework. Existing literature for Odia text recognition works primarily with individual isolated characters. In this study we introduce a Odia dataset of word samples collected from different professionals. Concavity feature from each word image is extracted in our approach. Next, the features are fed to HMM-based sequential classifier for recognition. The experiment has been performed on a large dataset consisting of 4000 words and results obtained are encouraging.

关键词： Text recognition Hidden Markov models Character recognition Feature extraction Training image recognition Handwriting recognition

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Stamp and logo detection from document images by finding outliers

Stamp and logo detection from document images by finding out...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Soumyadeep Dey Jayanta Mukherjee Shamik Sural School of Information Technology Indian Institute of Technology Kharagpur Department of Computer Science and Engineering Indian Institute of Technology Kharagpur

Stamps and logos are generally used for authenticating the source of a document. For automatic document processing, identification and segmentation of stamps and logos are essential. In the past, methods to detect stamps and logos were limited to specific shapes, colors, or training data. However, stamps and logos can be of any shape or color. In this paper, we have proposed a novel stamp and logo detection technique. Our approach is based on the fact that stamps and logos, in general, are not the primary contents of a document. This fact motivates us to propose an outlier detection technique for the same purpose in a feature space. Based on some geometric features, the detected outliers are classified as stamps and logos. Our method shows good performance in case of separating them from text. Moreover, this technique is capable of detecting logos as well as chromatic and achromatic stamps.

关键词： image color analysis Feature extraction image segmentation Shape Rubber Detection algorithms Electronic mail

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