2017 2nd International Conference on Multimedia and Image Processing (ICMIP)

17-19 March 2017

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  • [Front cover]

    Publication Year: 2017, Page(s): c1
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  • [Title page i]

    Publication Year: 2017, Page(s): i
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  • [Title page iii]

    Publication Year: 2017, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2017, Page(s): iv
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  • Table of contents

    Publication Year: 2017, Page(s):v - x
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  • Preface

    Publication Year: 2017, Page(s): xi
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  • Conference Organization

    Publication Year: 2017, Page(s): xii
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  • Program Committee

    Publication Year: 2017, Page(s):xiii - xiv
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  • 3D Convolutional Neural Network Based on Face Anti-spoofing

    Publication Year: 2017, Page(s):1 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (430 KB)

    Face anti-spoofing is very significant to the security of face recognition. Many existing literatures focus on the study of photo attack. For the video attack, however, the related research efforts are still insufficient. In this paper, instead of extracting features from a single image, features are learned from video frames. To realize face anti-spoofing, the spatiotemporal features of continuou... View full abstract»

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  • A New Approach Based on Multi-feature for Cooperative Target Detection

    Publication Year: 2017, Page(s):6 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (521 KB) | HTML iconHTML

    Cooperative target has been widely applied in vision-based navigation for unmanned aerial vehicle. For overcoming the targets susceptibility of the surroundings, a fast and accurate detection approach based on multiple features is put forward. Firstly, utilize the pyramid image preprocessing method to eliminate some noise. Then the image features consisting of image contours, Hu moment invariants ... View full abstract»

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  • Automatic Parking Space Detection System

    Publication Year: 2017, Page(s):11 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (601 KB) | HTML iconHTML

    Searching a suitable parking space in populated metropolitan city is extremely difficult for drivers. Serious traffic congestion may occur due to unavailable parking space. Automatic smart parking system is emerging field and attracted computer vision researchers to contribute in this arena of technology. In this paper, we have presented a vision based smart parking framework to assist the drivers... View full abstract»

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  • Atrous Faster R-CNN for Small Scale Object Detection

    Publication Year: 2017, Page(s):16 - 21
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1016 KB) | HTML iconHTML

    Deep Convolutional Neural Networks based object detection has made significant progress recent years. However, detecting small scale objects is still a challenging task. This paper addresses the problem and proposes a unified deep neural network building upon the prominent Faster R-CNN framework. This paper has two main contributions. Firstly, an Atrous Region Proposal Network (ARPN) is proposed t... View full abstract»

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  • Examination of Shear Cut Mark Based on Local Multiscale Fractal Analysis

    Publication Year: 2017, Page(s):22 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (335 KB) | HTML iconHTML

    Examination and identification of tool marks is traditionally carried out under a comparison microscope by forensic scientists. This manual process is dependent on the experience of the examiner, including subjectivity. In order to improve the reliability and repeatability of the process in criminal investigation and trial, automation and quantification for tool mark examination is demanded. Shear... View full abstract»

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  • Rapid Forward Vehicle Detection Based on Deformable Part Model

    Publication Year: 2017, Page(s):27 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    This paper first introduce the general method of Deformable Part Model(DPM). In order to improve the speed of front vehicle detection, first, this paper propose a method to accelerate the calculation speed of HOG feature. Second,based on a series of important accelerating mechanisms, this paper mainly use Vector Quantization and K-means clustering algorithm to speed up the HOG feature computing sp... View full abstract»

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  • Contour Detection Model Based on the Combination of Surround Facilitation and Inhibition

    Publication Year: 2017, Page(s):32 - 37
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (607 KB) | HTML iconHTML

    At the single-cell level in the visual system, the properties of the receptive field (RF) are important bases of visual information processing. The area surrounding classical receptive field (CRF) is called the non-classical receptive field (nCRF), the modulatory effects of which are regarded as an important basis of visual information processing including contour detection. The modulation type (f... View full abstract»

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  • Visual Saliency Detection Based on Disperse Degree of Color

    Publication Year: 2017, Page(s):38 - 42
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1021 KB) | HTML iconHTML

    Saliency detection aims to focus attention on the important parts of a map, which is an excellent ability of human visual system. In this paper, we present a saliency detection model based on the principle that the pixels belong to the background are more disperse than the ones of the target area. Color contrast in different channels is employed to classify the pixels. Our method outperformed five... View full abstract»

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  • Analysis of the Effectiveness of the Robust Contrast Feature Detector

    Publication Year: 2017, Page(s):43 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2441 KB) | HTML iconHTML

    The paper presents a robust algorithm for detecting of features, the effectiveness of the robust detector of bright and dark features analyzed in the processing of natural scene images. Images in computer vision systems are often exposed to noise, such action causes detector performance degradation and increases of rate false alarms. Research shows that the effectiveness of the features detection ... View full abstract»

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  • Cutting Tool Wear Region Extraction Based on L0 Gradient Minimization Model and Improved CV Model

    Publication Year: 2017, Page(s):48 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2436 KB) | HTML iconHTML

    To accomplish the wear region extraction in the cutting tool wear detection system exactly, an image segmentation method based on L0 gradient minimization model and improved CV model is proposed in this paper. Firstly, the original image is smoothed by L0 gradient minimization model. Then the Otsu method is used to segment the smoothed image to achieve the initial location of... View full abstract»

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  • A Novel Method for Improving Artifacts of Chinese Calligraphy Character Skeleton Extraction

    Publication Year: 2017, Page(s):53 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (518 KB) | HTML iconHTML

    Chinese calligraphy style evaluation and generation are important to the aim of cultural heritage preservation. Character skeleton extraction is a key preprocessing step and most existing algorithms suffer from drawbacks of non-single pixel width, bifurcation etc. In this paper, an optimization process is proposed to overcome these drawbacks to some extent. It gets the provisional skeleton using a... View full abstract»

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  • A Log-Polar Feature Guided Iterative Closest Point Method for Image Registration

    Publication Year: 2017, Page(s):58 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (556 KB) | HTML iconHTML

    Images can substantially change their appearance and shape when they are acquired using different modalities, with lighting variations or at widely different viewpoints. Even with the state-of-the-art technology, e.g., the generalized dual-bootstrap iterative closest point (GDB-ICP) method, it is still difficult to register those challenging images. To handle this issue, this paper proposes a nove... View full abstract»

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  • Automatic Registration Method of SAR and Optical Image Based on Line Features and Spectral Graph Theory

    Publication Year: 2017, Page(s):64 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (708 KB) | HTML iconHTML

    Focusing on the automatic image registration problem of SAR and optical image because of the inconsistency of radiometric and geometric properties, a new algorithm based on line features and spectral graph matching is presented in this paper. Firstly, different edge detectors are employed to detect the line segments in both optical and SAR images respectively. With the random sampling consensus me... View full abstract»

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  • Stroke Extraction of Handwritten Chinese Character Based on Ambiguous Zone Information

    Publication Year: 2017, Page(s):68 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (569 KB) | HTML iconHTML

    Stroke extraction plays an important role in the analysis of handwritten Chinese character. Ambiguous zones like intersections and junctions of strokes always bring difficulties for the extraction. The skeleton obtained by thinning algorithm is easy to be distorted in these areas. To solve this problem, an effective method to extract strokes using ambiguous zone information is proposed in this pap... View full abstract»

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  • Light Weight Solution for Stem and Leaf Classification in Tea Industry, Hybrid Color Space for Black Tea Classification

    Publication Year: 2017, Page(s):73 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (928 KB) | HTML iconHTML

    This research proposes a new approach for stem and leaf classification in tea industry by deriving new color components which is simple in implementation, high in accuracy and low in cost than the multilayer neural network approaches. It has been used 270 set of tea stem and leaf sample in order to get 95% accuracy and the images were captured using a DSLR Nikon D3100 camera under controlled light... View full abstract»

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  • A Method of Underwater Bubbles Recognition Based on Hu Moment and Gray Gradient

    Publication Year: 2017, Page(s):78 - 82
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (437 KB) | HTML iconHTML

    We presented a new algorithm of underwater bubble recognition, which employs background modeling, image segmentation and pattern recognition. After obtaining underwater bubble images, we can separate single bubble from it manually and construct the database. Having computed Hu moment of samples for training and test, we can get the threshold and store. Then inputting the other images of sample, we... View full abstract»

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  • Higher-Order Local Autocorrelation Feature Extraction Methodology for Hand Gestures Recognition

    Publication Year: 2017, Page(s):83 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (857 KB) | HTML iconHTML

    A novel feature extraction method for hand gesture recognition from sequences of image frames is described and tested. The proposed method employs higher order local autocorrelation (HLAC) features for feature extraction. The features are extracted using different masks from Grey-scale images for characterising hands image texture with respect to the possible position, and the product of the pixel... View full abstract»

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