2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics

15-17 Dec. 2011

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  • [Front cover]

    Publication Year: 2011, Page(s): C1
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  • [Title page i]

    Publication Year: 2011, Page(s): i
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  • [Title page iii]

    Publication Year: 2011, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2011, Page(s): iv
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  • Table of contents

    Publication Year: 2011, Page(s):v - ix
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  • Introduction

    Publication Year: 2011, Page(s): x
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  • Preface

    Publication Year: 2011, Page(s): xi
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  • Conference organization

    Publication Year: 2011, Page(s):xii - xiv
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  • Automatic Medical Image Analysis and Potential Impact in India

    Publication Year: 2011, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1402 KB) | HTML iconHTML

    Medical imaging devices have been growing exponentially around the world with the advancements in CT, MRI, Ultrasound and other devices. With these advancements come growing opportunities for medical image analysis which can support diagnostics, surgical assistance, rehabilitation and patient care. The applications of medical imaging in emerging economies like India include automatic TB detection,... View full abstract»

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  • Perceptual Factors in Graphics: From JND to PAM

    Publication Year: 2011, Page(s):6 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (199 KB) | HTML iconHTML

    Visual analytics is an active research topic in both 2D image/video and 3D graphics/animation. Given a constrained resource budget, the performance of compression algorithms can be enhanced by incorporating human perceptual factors into the quality assessment processing pipeline. However, human perception can be applied not only to visualization, but also language and other sensations and related ... View full abstract»

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  • Fuzzy Rule Based Document Image Segmentation for Component Labeling

    Publication Year: 2011, Page(s):11 - 14
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (843 KB) | HTML iconHTML

    In this paper, we propose a fuzzy rule based method for extensive segmentation of documents, with the view of labeling various components like page header, title, figure and tables, column divider, text etc. The fuzzy rules are learned using evolutionary computation, based on labeled document images serving as ground truth. The proposed fuzzy rules exploit the placement heuristics among the variou... View full abstract»

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  • Prominent Boundaries and Foreground Detection Based Technique for Human Face Extraction from Color Images Containing Complex Background

    Publication Year: 2011, Page(s):15 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2095 KB) | HTML iconHTML

    The paper proposes a novel method for human face extraction from color images, characterized by uncontrolled illumination conditions and complex backgrounds. The method incorporates stationary Haar wavelet transform & proximity influence for prominent boundaries detection and watershed transform, proximity influence & morphological operations to separate foreground / background along with ... View full abstract»

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  • Character Segmentation of Handwritten Bangla Text by Vertex Characterization of Isothetic Covers

    Publication Year: 2011, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (978 KB) | HTML iconHTML

    Segmentation of cursive handwriting is one of the most challenging problems in the area of handwritten character recognition. In this paper, we propose a novel approach towards character segmentation in a handwritten document. It is based on the vertex characterization of outer isothetic polygonal covers so that each cover corresponds to a particular word or part of a word. The proposed method has... View full abstract»

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  • A Fast Interactive Image Segmentation to Locate Multiple Similar-colored Objects

    Publication Year: 2011, Page(s):25 - 28
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (668 KB) | HTML iconHTML

    A fundamental problem in image processing is image segmentation. The conventional image segmentation methods, to some extent, all suffe from the problem of inaccurate segmentation. A slightly easier and more approachable problem - interactive segmentation - has also received a lot of attentions over the years. In this paper, we propose a fast and simple interactive image segmentation technique. Th... View full abstract»

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  • An Entropic Score to Rank Annotators for Crowdsourced Labeling Tasks

    Publication Year: 2011, Page(s):29 - 32
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (219 KB) | HTML iconHTML

    With the advent of crowd sourcing services it has become quite cheap and reasonably effective to get a dataset labeled by multiple annotators in a short amount of time. Various methods have been proposed to estimate the consensus labels by correcting for the bias of annotators with different kinds of expertise. Often we have low quality annotators or spammers -- annotators who assign labels random... View full abstract»

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  • Music Genre Classification Using GA-Induced Minimal Feature-Set

    Publication Year: 2011, Page(s):33 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    We propose a genetic algorithm-based feature-selection method for music genre classification that not only increases the efficiency of standard classifiers, but also reduces the feature space to a bare-minimum. While previous works have been more focused on finding near-optimal features devoid of noise, we go for a modified fitness function capable of finding both the near-optimal and the near-min... View full abstract»

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  • Bag of Visual Words: A Soft Clustering Based Exposition

    Publication Year: 2011, Page(s):37 - 40
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (557 KB) | HTML iconHTML

    In this paper, we explain the bag of words representation from a soft computing perspective. The traditional Bag of word representation describes an image as a bag of discrete visual code words. Where histogram of the number of occurrences of these code words is used for image classification tasks. The drawback of the approach is that every visual feature in an image is assigned to single codeword... View full abstract»

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  • Annotating Dance Posture Images Using Multi Kernel Feature Combination

    Publication Year: 2011, Page(s):41 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (322 KB) | HTML iconHTML

    We present a novel dance posture based annotation model by combining features using Multiple Kernel Learning (MKL). We have proposed a novel feature representation which represents the local texture properties of the image. The annotation model is defined in the direct a cyclic graph structure using the binary MKL algorithm. The bag-of-words model is applied for image representation. The experimen... View full abstract»

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  • Weighted Co-clustering Based Clustering Ensemble

    Publication Year: 2011, Page(s):46 - 49
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (158 KB) | HTML iconHTML

    Consensus clustering has emerged as an important elaboration of classical clustering problem that improves quality and robustness in clustering by optimally combining the results of different clustering process. In this paper we propose a new method of arriving at a consensus clustering. We assign confidence score to each partition in the ensemble and compute weighted co-association for each pair ... View full abstract»

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  • The Effect of Block Size, Training Set and K-Value in the Classification of Food Grains Using HSI Color Model

    Publication Year: 2011, Page(s):50 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (391 KB) | HTML iconHTML

    The method proposed for the classification of food grains can be divided into two phases: 1) color, global and local feature extraction 2) classification using extracted features. This paper presents the effect of block size, training set and K-value in the classification of food grains using HSI color model by combining color and texture information without pre-processing. The first phase in the ... View full abstract»

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  • Race Classification Based on Facial Features

    Publication Year: 2011, Page(s):54 - 57
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    Human is unique and is an ancestral gift. Biometric recognition system can use race in identifying the human globally with a particular identity. This paper proposes an algorithm for classification of people into three major races namely Caucasoid, Negroid and Mongoloid, which can easily be integrated into any face recognition system. Firstly, the proposed classification method extracts the distin... View full abstract»

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  • Building a Natural Language Hindi Speech Interface to Access Market Information

    Publication Year: 2011, Page(s):58 - 61
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    It is a well known fact that majority of rural India earns its livelihood from agriculture and farming. Although India is a net exporter of various agricultural products, the farmer who happens to be the primary producer, has remained information poor which puts him at a disadvantage. With little or no knowledge of prices at the markets, farmers have no leverage to negotiate better prices for thei... View full abstract»

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  • Multi-Resolution Probabilistic Information Fusion for Camera-based Document Image Matching

    Publication Year: 2011, Page(s):62 - 65
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (725 KB) | HTML iconHTML

    Given a part of a document image taken with any camera at an arbitrary orientation and sometimes far-from-perfect illumination, an important problem is to match this query image to the corresponding full image from a document database. We propose a novel multi-resolution robust methodology for the same. The method combines information from independent sources of measurement in a probabilistic fram... View full abstract»

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  • Script Identification from Handwritten Document

    Publication Year: 2011, Page(s):66 - 69
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (491 KB) | HTML iconHTML

    Every country has their own language and script. This may or may not common to other countries. To communicate with each other we need to have a common language. English is the language that is performing that role. So most of the countries (other than Roman) use bi-script documents. But for countries like India where we have a total of 12 official scripts (and 22 languages) things are more comple... View full abstract»

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  • Segmentation of Degraded Malayalam Words: Methods and Evaluation

    Publication Year: 2011, Page(s):70 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB) | HTML iconHTML

    In most of the Optical Character Recognition softwares, a substantial percentage of errors are caused by the incorrect segmentation of degraded words. This is especially true for recognizing old books, newspapers and historical manuscripts. In this paper, we propose multiple segmentation methods which address the problem of cuts and merges in degraded words. We have created an annotated dataset of... View full abstract»

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