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检索条件"任意字段=Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing"

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An indexing approach for speeding-up image classification 10

An indexing approach for speeding-up image classification

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proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Jain, Rahul Sudha, Praveen M. Pramod, Sankar K. Jawahar, C.V. Center for Visual Information Technology IIIT Hyderabad India

ISBN: (纸本)9781450300605

One of the most common computer vision tasks is that of recognizing the category of objects present in a given image. Previous work has mostly focused on building accurate classifiers based on carefully selected features. Classification is often carried on individual test images, while most of the practical situations, such as webscale image indexing, demand the simultaneous classification of a large collection of images. This is especially true for real-world datasets, that already contain numerous un-indexed images and videos. In this paper, we work towards developing a computationally efficient approach towards object recognition, that is inspired by retrieval schemes. We perform an offline indexing of the features from the collection, so that the classifier only needs to work on a small subset of the entire feature set. Over a set of 2 Million features extracted from 7000 images, classification against 5 object categories using a standard SVM would require more than 260 hours. Over the same test case, the classification time using our indexing based approach is reduced to less than 13 hours. The compromise on the accuracy is less than 7% for the 20X speedup achieved. © 2010 ACM.

关键词： image classification

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An iris retrieval technique based on color and texture 10

An iris retrieval technique based on color and texture

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proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Jayaraman, Umarani Prakash, Surya Gupta, Phalguni Indian Institute of Technology Dept. of Computer Sc. and Engg. IIT Kanpur Kanpur India

ISBN: (纸本)9781450300605

This paper proposes an efficient indexing scheme that can be used for retrieval from a large iris database. For a given color iris query image, the proposed indexing scheme makes use of iris color to determine an index and uses this index to reduce the search space in the large iris database. Further, for query q, the retrieval technique uses iris texture to find the top best match from the reduced search space. The proposed technique has been tested on two publicly available color iris databases, viz UPOL [10] of 384 images and UBIRIS [13] of 1860 fully noisy images and is found to be robust against change in gaze, illumination, partial occlusions and scale. In both the databases, the test reveals that a small subspace is sufficient to achieve 100% hitrate for the top best match under various scales, illumination and partial occlusion. The performance of the proposed indexing scheme is analyzed against the group based color indexing scheme proposed in [14]. The results show that proposed indexing scheme is performing better as compared to group based color indexing scheme with respect to hitrate, penetration rate and CMC curve. © 2010 ACM.

关键词： Database systems

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A fast approach for fusion of hyperspectral images through redundancy elimination 10

A fast approach for fusion of hyperspectral images through r...

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proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Kotwal, Ketan Chaudhuri, Subhasis Electrical Engineering Department Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9781450300605

The fusion of hyperspectral images is an important area in research and applications. Several fusion techniques have been developed in the literature for visualization of hyper-spectral data. The amount of computation needed for such techniques is directly related to the volume of the data. Most of these techniques involve a significant amount of computation due to high volume of the data, making the fusion processes slow. We analyze the statistical characteristics of this data in order to develop a technique for faster fusion. The image bands in the hyperspectral data represent the response of the scene collected over contiguous narrow bands of wavelength. The adjacent bands being captured over neighboring wavelength bands, these images exhibit a very high degree of similarity. The fusion of these adjacent image bands, thus adds a very little amount of additional information. We exploit this redundancy in the data to provide a novel scheme for rapid visualization. We propose a scheme for the selection of a subset of images from a hyper-spectral image cube that can produce fusion results with a very small amount of degradation in the quality compared to the quality of the result using the same technique of fusion applied over the entire data. © 2010 ACM.

关键词： Visualization

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Fast mode decision algorithm for H.264/AVC using edge characteristics of residue images 10

Fast mode decision algorithm for H.264/AVC using edge charac...

引用

proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Ganguly, Amrita Mahanta, Anil Department of Electronics and Communication Engineering Indian Institute of Technology Guwahati Guwahati-781039 Assam India

ISBN: (纸本)9781450300605

Video compression algorithms require decision making regarding the selection of different coding modes. Of all the encoding elements in H.264, inter prediction is computationally most intensive and thus adds to the computational burden for the encoder. In this paper, we propose a fast inter prediction algorithm for JVT video coding standard H.264/AVC. The fast prediction algorithm is based on the edge information obtained by calculating the edge histogram parameters of the frame difference residual image. The inclusion of different modes for motion estimation is based on the direction information obtained from the edge histogram parameters. The proposed method reduces the computational complexity and time considerably by upto 63% compared to the JVT benchmark JM12.4 while maintaining similar PSNR and bit rate. Experimental results for various test sequences at different resolutions are presented to show the effectiveness of the proposed method. © 2010 ACM.

关键词： Motion estimation

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A multi-view extension of the ICP algorithm 10

A multi-view extension of the ICP algorithm

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proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Pooja, A. Govindu, Venu Madhav Independent Consultant Bengaluru Karnataka India Department of Electrical Engineering Indian Institute of Science Bengaluru Karnataka 560012 India

ISBN: (纸本)9781450300605

Although the Iterative Closest Point (ICP) algorithm has been an extremely popular method for 3D points or surface registration, it can only be applied to two point sets at a time. By only registering two scans at a time, ICP fails to exploit the redundant information available in multiple scans that have overlapping regions. In this paper, we present a multi-view extension of the ICP algorithm by a method that simultaneously averages the redundant information available in the scans with overlapping regions. Variants of this method that carry out such simultaneous registration in a causal manner and that utilise the transitive property of point correspondences are also presented. The improved accuracy of this motion averaged approach in comparison with ICP and some multi-view methods is established through multiple tests. We also present results of our method applied to some well-known real datasets. © 2010 ACM.

关键词： Iterative methods

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Nonparametric Markov random field order estimation and its application in texture synthesis 10

Nonparametric Markov random field order estimation and its a...

引用

proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Sinha, Arnab Gupta, Sumana Samsung India Software Centre Noida UP India Dept. of EE Indian Institute of Technology Kanpur UP India

ISBN: (纸本)9781450300605

In this paper we propose a new theory for the order estimation of nonparametric Markov random field (N-MRF) model. Texture synthesis based on N-MRF model performs well visually for a wide range of natural textures, [9]. The result of texture synthesis is dependent upon the model order, and the computational complexity increases parabolicaly with the model order. Therefore, it is required to estimate the minimum model order for computationally efficient texture synthesis. In the proposed methodology, the basic definition of local conditional density is redefined. The proposed model order estimation (MOE) approach for N-MRF model has been tested with a number of stochastic and near-regular textures, collected from the Brodatz's standard database [3]. Results show the efficacy of the proposed approach in solving the MOE problem efficiently. © 2010 ACM.

关键词： Stochastic systems

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Multiple objects segmentation with fuzzy rule-base trained topology adaptive active membrane 10

Multiple objects segmentation with fuzzy rule-base trained t...

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proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Das, Sitansu Kumar Saha, Sanjoy Kumar Mukherjee, Dipti Prasad ECS Unit Indian Statistical Institute Kolkata India CSE Department Jadavpur University Kolkata India

ISBN: (纸本)9781450300605

Segmentation of multiple objects in a scene from the single initialization of an active membrane is always advantageous compared to separate initialization of active contour for segmenting each of the multiple objects. This proposal, however, is not robust in segmenting poorly-contrasted touching objects especially when pixel groups belonging to a single object can have spectral signatures similar to the background pixels. In this paper we have used fuzzy rule based learning scheme to record the spectral signature of the objects and background and spatial information of the topology of an active membrane segmenting the objects. The learning scheme helps in splitting the active membrane for segmenting multiple objects and integrates the topology adaptive property of the active membrane with its architecture and evolution. The evolution of this membrane is tested in a challenging application domain of estimation of sizes of oil sand. © 2010 ACM.

关键词： Topology

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Road traffic model using distributed camera network 10

Road traffic model using distributed camera network

引用

proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Indu, S. Arora, Sankalp Chaudhury, Santanu Bhattacharyya, Asok Delhi Technological University Bawana Road Delhi 110042 India Electrical Engg. Deptt. Indian Institute of Technology Delhi India

ISBN: (纸本)9781450300605

Traffic monitoring/prediction using a distributed camera network is presented in this paper. The activities on each road link are monitored and features are derived to identify the pattern. Then it is learnt, classified, predicted and communicated to neighboring road links. We used GMM-EM based classification and HMM based prediction. Optimum path is determined by assigning proportional weights to the predicted states of the connected road links. The proposed method is neither based on tracking nor on vehicle detection. Apart from this the method is flexible, adaptive, robust and computationally light. Unlike the existing methods it does not assume or draws analogies of traffic moving as particles, neither does it impose restriction on road conditions or road tributaries and distributaries. The model is validated using traffic simulator and tested on real road network. © 2010 ACM.

关键词： Hidden Markov models

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Multiple kernel learning for image indexing 10

Multiple kernel learning for image indexing

引用

proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Hassan, Ehtesham Chaudhury, Santanu Gopal, M. Department of Electrical Engg. IIT Delhi India

ISBN: (纸本)9781450300605

The paper presents a novel framework for learning the hash functions for indexing through Multiple Kernel Learning. The Distance Based Hashing function is applied which does the object projection to hash space by preserving inter object distances. In recent works, the kernel matrix has been proved to be more accurate representation of similarity in various recognition problems. Our framework learns the optimal kernel for hashing by parametrized linear combination of base kernels. A novel application of Genetic Algorithm for the optimization of kernel combination parameters is presented. We also define new texture based feature representation for images. Our proposed framework can also be applied for optimal combination of multiple sources for indexing. The evaluation of the proposed framework is presented for CIFAR-10 dataset 1 by applying individual and combination of different features. Additionally, the primary experimental results with MNIST dataset2 is also presented. © 2010 ACM.

关键词： Genetic algorithms

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Segmentation of crystalline lens in photorefraction video 10

Segmentation of crystalline lens in photorefraction video

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proceedings of the Seventh indian conference on computer vision, graphics and image processing

作者： Wendt, Mark Shah, Shishir K. Quantitative Imaging Laboratory University of Houston Dept. of Computer Science Houston TX United States

ISBN: (纸本)9781450300605

With an increase in the percentage of people over the age of 65 years or older, there is a growing interest in finding ways to slow or reverse some of the effects of aging on the human body. One of these effects is the loss in the ability of the human eye to visually focus on near objects. Understanding the properties of the natural lens and the associated mechanisms of accommodation will greatly increase our knowledge to identify alternate solutions to reverse this phenomenon. Towards that end, a technique called photorefraction is currently being used in laboratory studies involving monkeys. To quantitate the lens properties, there is a need to accurately measure monkey lenses in images produced by this technique. In this paper, we present two probabilistic methods for segmenting the lens from photorefraction video sequences. Results of the developed methods are compared and evaluated against ground-truth segmentations. In addition, the results obtained are also compared to those obtained by a level set segmentation method. © 2010 ACM.

关键词： Numerical methods

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