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A DCT based reversible data embedding scheme for MPEG-4 video using HVS characteristics 12

A DCT based reversible data embedding scheme for MPEG-4 vide...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Gujjunoori, Sagar Amberker, B.B. Department of Computer Science and Engineering National Institute of Technology Warangal Andhra Pradesh India

ISBN: (纸本)9781450316606

Recently, many data embedding schemes using the quantized DCT coefficients have been proposed for achieving the robustness. However, most of the schemes lack to strike a trade off between the embedding capacity and the visual quality. Achieving more embedding capacity by maintaining the visual quality has become a challenging task. Most of the DCT based data embedding schemes result in various visual distortions for not considering the HVS characteristics while embedding. the widely used visual quality measure PSNR is not sufficient to assess the quality of the distorted image/video content. However, the HVS based visual quality metrics PSNR-HVS and PSNR-HVS-M are very much suitable when the data is embedded in the DCT domain. We propose a reversible data embedding scheme which embed the data during the process of MPEG-4 compression of video. Experimental results show that the proposed scheme achieves higher embedding capacity and better visual quality in terms of HVS based metrics. © 2012 ACM.

关键词： Motion Picture Experts Group standards

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Proceedings - 7th indian conference on computer vision, graphics and image processing, ICVGIP 2010

Proceedings - 7th Indian Conference on Computer Vision, Grap...

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7th indian conference on computer vision, graphics and image processing, ICVGIP 2010

ISBN: (纸本)9781450300605

the proceedings contain 70 papers. the topics discussed include: the human action image and its application to motion recognition;human action recognition in video by 'meaningful' poses;human action recognition using a dynamic Bayesian action network with 2D part models;unsupervised discovery of activity correlations using latent topic models;optimal shot detection and recognition using Shiryaev-Roberts statistics;the human action image and its application to motion recognition;a novel technique for sketch to photo synthesis;implicit surface octrees for ray tracing point models;a multi-view extension of the ICP algorithm;a convex multi-view stereo formulation with robustness to occlusions and time-varying clutter;realtime motion segmentation based multibody visual slam;image based PTM synthesis for realistic rendering of low resolution 3D models;and reground-background separation on GPU using order based approaches.

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Improved quadric surface impostors for large bio-molecular visualization 12

Improved quadric surface impostors for large bio-molecular v...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Bagur, Pranav D. Shivashankar, Nithin Natarajan, Vijay Department of Information Technology National Institute of Technology Karnataka Surathkal India Computer Science and Automation Indian Institute of Science Bangalore India Computer Science and Automation Supercomputer Education and Research Center Indian Institute of Science Bangalore India

ISBN: (纸本)9781450316606

the shape of biomolecules, such as proteins, may be represented using different representations like space-fill, ballstick, backbone, or secondary structures. the secondary structure of proteins, comprising of sheet-like, helix-like and loops structures, represent a higher level abstraction of its structure. With ever increasing sizes of protein structure data produced by high resolution x-ray crystallography and cryo-electron microscopy, biologists often rely on visualizations to better understand the overall structure of proteins. In this paper, we present a unified framework for accelerating the rendering of various representations of these structure using GPUs. the framework first produces "impostor primitives", which are simple linear element approximations of quadric objects, such as spheres, cylinders, and helices. Next, the rasterizations of the impostors are corrected to produce pixel-precise renderings of the quadric objects. We incorporate this framework into a bio-molecular visualization tool proteinvis to demonstrate quantitative and qualitative performance gains over earlier approaches for rendering various representations of proteins. © 2012 ACM.

关键词： Proteins

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Novel color Gabor-LBP-PHOG (GLP) descriptors for object and scene image classification 12

Novel color Gabor-LBP-PHOG (GLP) descriptors for object and ...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Sinha, Atreyee Banerji, Sugata Liu, Chengjun Department of Computer Science New Jersey Institute of Technology Newark NJ 07102 United States

ISBN: (纸本)9781450316606

this paper presents a novel set of color descriptors for object and scene image classification. We first introduce a new Gabor-PHOG (GPHOG) descriptor by concatenating the Pyramid of Histograms of Oriented Gradients (PHOG) of the local Gabor filtered images. Second, we derive the Gabor-LBP (GLBP) descriptor by accumulating the Local Binary Patterns (LBP) histograms of all the component images produced by applying Gabor filters. then, by combining the GPHOG and the GLBP descriptors using an optimal feature representation method, we propose a novel Gabor-LBP-PHOG (GLP) image descriptor which performs well on different image categories. Next, we make a comparative assessment of the classification performance of the GLP descriptor in six different color spaces. Finally, we present a novel Fused Color GLP (FC-GLP) feature by integrating the PCA features of the six color GLP descriptors. the Principal Component Analysis (PCA) and the Enhanced Fisher Model (EFM) are applied for feature extraction and the nearest neighbor classification rule is used for classification. the effectiveness of the proposed GLP and FC-GLP feature vectors for image classification is evaluated using three grand challenge datasets, namely the Caltech 256 dataset, the MIT Scene dataset and the UIUC Sports Event dataset. © 2012 ACM.

关键词： Color

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FaSTIP: A new method for detection and description of space-time interest points for human activity classification 12

FaSTIP: A new method for detection and description of space-...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Samanta, Soumitra Chanda, Bhabatosh Indian Statistical Institute Ellectronics and Communications Sciences Unit 203 B. T. Road Kolkata - 700108 India

ISBN: (纸本)9781450316606

this paper presents a new method to detect space time interest point (STIP) from video data. We use three dimensional facet model to detect STIP and call it as facet space-time interest point or FaSTIP. the proposed algorithm detects all the desired interest points efficiently in different scales compared to other existing methods. A video clip is described as a collection of 3D wavelet base features computed at these interest points. Finally, multi-channel SVM with χ2- kernel is used to classify human actions. Our contribution here are two fold: first, we present a new algorithm for interest point detection in video data, and second, we propose a new descriptor for general human activity classification. Experimental results show the accuracy of the detected interest points and the power of descriptor compared to the state-of-the-art. © 2012 ACM.

关键词： Video recording

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Human gait recognition using depth camera: A covariance based approach 12

Human gait recognition using depth camera: A covariance base...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Kumar, M. S. Naresh Babu, R. Venkatesh Video Analytics Lab. SERC Indian Institute of Science Bangalore India

ISBN: (纸本)9781450316606

Gait is an important biometric modality for recognizing humans. Unlike other biometrics, human gait can be captured at a distance which makes it an unobtrusive method for recognition. In this paper, an unrestricted gait recognition algorithm is proposed which uses 3D skeleton information and trajectory covariance of joint points. 3-D skeleton is generated from the depth images that are captured using Kinect sensor. the temporal tracking of skeleton points is used for gait analysis. the covariance measure between these skeleton point trajectories are computed and the covariance matrices form the gait model. the gait is recognized by computing the minimum dissimilarity measure between the gait models of the training data and the testing data. Recognition accuracy of over 90% has been achieved for a data set consisting of fixed and moving camera scenarios of 20 subjects. © 2012 ACM.

关键词： Biometrics

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Automatic crack detection in heritage site images for image inpainting 12

Automatic crack detection in heritage site images for image ...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Turakhia, Naman Shah, Ruchin Joshi, Manjunath Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar India

ISBN: (纸本)9781450316606

Heritage structures are very important to mankind as they help in studying and understanding the growth of civilization and are sources of inspiration to modern craftsmen. However, many structures get degraded / vandalized due to various reasons like aging, material degradation, human interventions, etc. With the use of image inpainting techniques, one can digitally restore these structures. In almost all the available inpainting techniques, one has to manually select the target region. In this paper, we propose a novel approach to automatically identify cracks in the heritage structures. the method exploits the use of order-statistics filtering and the tensor voting to detect crack regions which are given as input to inpainting algorithms. the order-statistics filters enhance the contrast of the crack regions, which then act as input to a Canny edge detector. A 2D tensor voting is applied on the edge output for enhancing the curveness of the probable crack regions. Finally, image dilation is used for crack filling, generating the final target regions for image inpainting. We show the effectiveness of the method by conducting experiments on the images captured from the world Heritage site Hampi, Karnataka. © 2012 ACM.

关键词： Crack detection

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Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance 12

Wavelet-based contrast enhancement of dark images using dyna...

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Chouhan, Rajlaxmi Jha, Rajib Kumar Biswas, Prabir Kumar Indian Institute of Technology Kharagpur India Indian Institute of Information Technology Design and Manufacturing Jabalpur India

ISBN: (纸本)9781450316606

In this paper, a dynamic stochastic resonance (DSR)-based technique has been proposed for contrast enhancement of dark and low contrast images in discrete wavelet transform (DWT) domain. Traditionally, the performance of a stochastic resonance (SR)-based system is improved by addition of external noise. However, in the proposed DSR-based approach, the internal noise of an image has been utilized for the purpose of contrast enhancement. the degradation due to inadequate illumination is treated as noise, and is used to produce a noise-induced transition of the image from a low-contrast state to a high-contrast state. Stochastic resonance is induced in the approximation and detail coefficients in an iterative fashion, producing an increase in variance and mean of the coefficient distribution. Optimal output response is ensured by selection of optimal of bistable system parameters. An iterative algorithm is followed to achieve target value of performance metrics, such as relative contrast enhancement factor (F), perceptual quality measures (PQM), and color enhancement factor (CEF), at minimum iteration count. When compared with the existing SR-based and non SR-based enhancement techniques in spatial and frequency domains, the proposed technique is found to give noteworthy performance in terms of contrast enhancement, perceptual quality, as well as colorfulness. © 2012 ACM.

关键词： Discrete wavelet transforms

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Automatic extraction of road segments from high resolution satellite images - A region and boundary based approach 12

Automatic extraction of road segments from high resolution s...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Banerjee, Biplab Buddhiraju, Siddharth Mohan, B. Krishna Satellite Image Analysis Lab. CSRE IIT Bombay Powai Mumbai India Electrical Engineering Dept. IIT Bombay Powai Mumbai India

ISBN: (纸本)9781450316606

the problem of road segment extraction from high resolution satellite or aerial images has been considered in this paper. Efficient extraction of road segments is a difficult task due to the problems regarding image acquisition, local road width and orientation etc. A novel method of road region extraction using local spectral and geometrical properties has been proposed here. the image is first segmented using mean-shift based approach. Edge preserving smoothing is performed beforehand to preserve the sharpness of the object boundaries. then a rejection stage using chord distribution technique is considered to remove dominant non-road regions. It is followed by a cost optimization step based on a region following grid graph to efficiently extract the road segments. A further orientation based region linking is performed to overcome problems due to occlusion. Experiments on several high resolution satellite images have established the capability of the proposed method. © 2012 ACM.

关键词： Extraction

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FPGA implementation of 2-D DCT engine for vision based tracking of dynamic obstacles

FPGA implementation of 2-D DCT engine for vision based track...

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6th Asia International conference on Mathematical Modelling and computer Simulation, AMS 2012

作者： Mishra, Prabhakar Agarwal, Nikesh Sujith, B.S. Parvatikar, Bhavani Mall, Kushal Kishore, J.K. Department of Telecommunication Engineering PES Institute of Technology Bangalore India Indian Space Research Organization Bangalore India

ISBN: (纸本)9780769547305

In this paper, we propose a novel architecture for implementation of a hardware accelerator for computation of two dimensional Discrete Cosine Transform (2-D DCT) for vision-based tracking of dynamic obstacles used in autonomous robot navigation. Real time motion estimation for tracking remains a challenge due to its large computational complexity. the main complexity in discrete cosine transform based motion estimation (DXT-ME) is the computation of 2-D DCT. Direct implementation of 2-D DCT involves N4 multiplications for an N x N image which is highly impractical to meet the needs of real time applications. the proposed architecture for implementation of 2-D DCT uses Look up tables (LUTs). they are used to store the pre-computed vector products of the input vector and the coefficient matrix of DCT that eliminates the need of multipliers completely. this makes the architecture highly time efficient. Besides this, the routing delay and power consumption is also reduced significantly by making the computations highly local and parallel. the paper also presents a comparison of the performance metrics of existing 2-D DCT architectures with the proposed architecture. © 2012 IEEE.

关键词： Motion estimation

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