By Topic

2009 Seventh International Conference on Advances in Pattern Recognition

4-6 Feb. 2009

Filter Results

Displaying Results 1 - 25 of 114
  • [Front cover]

    Publication Year: 2009, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (548 KB)
    Freely Available from IEEE
  • [Title page i]

    Publication Year: 2009, Page(s): i
    Request permission for commercial reuse | PDF file iconPDF (64 KB)
    Freely Available from IEEE
  • [Title page iii]

    Publication Year: 2009, Page(s): iii
    Request permission for commercial reuse | PDF file iconPDF (193 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2009, Page(s): iv
    Request permission for commercial reuse | PDF file iconPDF (113 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2009, Page(s):v - xii
    Request permission for commercial reuse | PDF file iconPDF (168 KB)
    Freely Available from IEEE
  • Preface

    Publication Year: 2009, Page(s):xiii - xiv
    Request permission for commercial reuse | PDF file iconPDF (85 KB) | HTML iconHTML
    Freely Available from IEEE
  • Conference Committee

    Publication Year: 2009, Page(s): xv
    Request permission for commercial reuse | PDF file iconPDF (67 KB)
    Freely Available from IEEE
  • Organizing Committee

    Publication Year: 2009, Page(s): xvi
    Request permission for commercial reuse | PDF file iconPDF (66 KB)
    Freely Available from IEEE
  • Technical Program Committee

    Publication Year: 2009, Page(s):xvii - xviii
    Request permission for commercial reuse | PDF file iconPDF (88 KB)
    Freely Available from IEEE
  • International Advisory Committee

    Publication Year: 2009, Page(s): xix
    Request permission for commercial reuse | PDF file iconPDF (63 KB)
    Freely Available from IEEE
  • List of reviewers

    Publication Year: 2009, Page(s):xx - xxi
    Request permission for commercial reuse | PDF file iconPDF (49 KB)
    Freely Available from IEEE
  • Still Image and Video Fingerprinting

    Publication Year: 2009, Page(s):3 - 8
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (193 KB) | HTML iconHTML

    Multimedia fingerprinting, also know as robust/perceptual hashing and replica detection is an emerging technology that can be used as an alternative to watermarking for the efficient Digital Rights Management (DRM) of multimedia data. Two fingerprinting approaches are reviewed in this paper. The first is an image fingerprinting technique that makes use of color and texture descriptors,R-trees and ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Colour and Multispectral Morphological Processing

    Publication Year: 2009, Page(s):9 - 13
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (986 KB) | HTML iconHTML

    The classical colour polar-based representations (HLS, HSV, etc.) lead to brightness and saturation with non consistent properties. The requirements for a correct quantitative colour polar representation are recalled. They lead to using norms, and in particular the L1 norm. Colour images are multivariable functions, and for segmenting them one must go through reducing step. It is classi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Large Lump Detection Using a Particle Filter of Hybrid State Variable

    Publication Year: 2009, Page(s):14 - 17
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1868 KB) | HTML iconHTML

    This paper presents a particle filter based solution to the problem of detecting large frozen lumps in an image sequence, taken of the feed to a crusher, which is used for size reduction of oilsand ore. In this application, the objects of interest, i.e., large frozen lumps, are characterized by a high level of image noise, irregular shapes, and uneven and variable surface texture. In addition, mor... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robust Watermarking Using Distributed MR-DCT and SVD

    Publication Year: 2009, Page(s):21 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (527 KB) | HTML iconHTML

    In this paper, a robust watermarking scheme is proposed for copyright protection using Distributed multi resolution discrete cosine transform(D-MR-DCT) and singular value decomposition. The core idea of the proposed scheme is to decompose an image into four frequency sub-bands using D-MR-DCT and then singular values of every sub-band are modified with the singular values of the watermark. The expe... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Secure Steganographic Technique for Blind Steganalysis Resistance

    Publication Year: 2009, Page(s):25 - 28
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (471 KB) | HTML iconHTML

    A simple yet effective tactic for secure steganography is proposed in this paper that can resist the blind steganalysis. In this method author derives a matrix based on the image content and thus providing the security. This matrix is used by quantization index modulation (QIM) based encoder and decoder. The embedding location of data is also randomized so as to immobilize the self calibration pro... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Spread Spectrum Watermark Embedder Optimization Using Genetic Algorithms

    Publication Year: 2009, Page(s):29 - 32
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (457 KB) | HTML iconHTML

    This paper looks spread spectrum (SS) watermarking from a different angle where number of cover signal points, payload capacity and watermark signal-to-interference ratio are optimized. The objective is to meet an acceptable BER (bit error rate) and peak-to-average distortion (PAD)on a single point of the cover signal under the constraint of a given embedding distortion and cover size. First, a ne... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Bayesian Mixture of AR Models for Time Series Clustering

    Publication Year: 2009, Page(s):35 - 38
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB) | HTML iconHTML

    In this paper we propose a Bayesian framework for estimation of parameters of a mixture of autoregressive model, for time series clustering. The proposed approach is based on variational principles and provides a tractable approximation to the true posterior density that minimizes Kullback-Liebler(KL) divergence w.r.t prior distribution. The proposed approach is applied both on simulated and real ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Detection of Neural Activities in FMRI Using Jensen-Shannon Divergence

    Publication Year: 2009, Page(s):39 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (201 KB) | HTML iconHTML

    In this paper, we present a statistical technique based on Jensen-Shanon divergence for detecting the regions of activity in fMRI images. The method is model free and we exploit the metric property of the square root of Jensen-Shannon divergence to accumulate the variations between successive time frames of fMRI images. Experimentally we show the effectiveness of our algorithm. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On Small Sample Prediction of Financial Crisis

    Publication Year: 2009, Page(s):43 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (138 KB) | HTML iconHTML

    Prediction of financial crisis is a challenging problem in financial research. On the basis of the information provided by financial statements, companies are usually classified into two groups, e.g., the groups of solvent and insolvent companies. Linear discriminant analysis (LDA), logistic regression and artificial neural network (ANN) are the most common statistical tools used for this classifi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Model Based Clustering of Audio Clips Using Gaussian Mixture Models

    Publication Year: 2009, Page(s):47 - 50
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (149 KB) | HTML iconHTML

    The task of clustering multivariate trajectory data of varying length exists in various domains. Model-based methods are capable of handling varying length trajectories without changing the length or structure. Hidden Markov models (HMMs) are widely used for trajectory data modeling. However, HMMs are not suitable for trajectories of long duration. In this paper, we propose a similarity based repr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Sparse Intensity Histogram: Distinctive and Robust to the Space-distortion

    Publication Year: 2009, Page(s):53 - 56
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB) | HTML iconHTML

    In this article, we propose an image descriptor which efficiently calculates the distance between images, saves to the disk compactly, and seeks a similar image related to a query robustly. The advantage of the proposed descriptor, sparse intensity histogram (SIH), is that it takes a robust approach to space distortion to the local descriptor, and that the speed of comparing are similar to the glo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Novel Approach to Corner Matching Using Fuzzy Similarity Measure

    Publication Year: 2009, Page(s):57 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB) | HTML iconHTML

    Corner matching in sequence images serves as a building block of several important applications of stereo vision. In this paper, we establish the corner correspondence between two images in the presence of intensity variations and motion blur by using a fuzzy theory based similarity measure. The matching approach proposed by us needs to extract set of corner points as candidates from both the fram... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Quality Based Motion Estimation Criterion for Temporal Coding of Video

    Publication Year: 2009, Page(s):61 - 64
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (215 KB) | HTML iconHTML

    In video compression, motion compensation techniques are used for removal of temporal redundancy and it is the block based matching concept which is most popular among them. In such matching techniques, Mean Absolute Difference (MAD) is widely accepted as the matching criterion because of its simplicity and low computation. Since MAD considers only average error value in a block for matching purpo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Best Basis Selection Using Singular Value Decomposition

    Publication Year: 2009, Page(s):65 - 68
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (459 KB) | HTML iconHTML

    This paper presents a new idea of best basis selection through singular value decomposition. Wavelet and Wavelet Packet Transform are efficient tools to represent the image. Wavelet Packet Transform is a generalization of wavelet transform which is more adaptive than the wavelet transform because it offers a rich library of bases from which the best one can be chosen for a certain class of images ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.