Color, texture, and shape are the low level features required for an effective image retrieval system. In this paper, we propose a hybrid approach which performs the fusion of color and texture features for image retr...
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ISBN:
(纸本)1595930361
Color, texture, and shape are the low level features required for an effective image retrieval system. In this paper, we propose a hybrid approach which performs the fusion of color and texture features for image retrieval. the color features are extracted by using the well known color histogram technique, while the texture features are captured using recently proposed features, known as orthogonal combination of linear binary pattern (OCLBP). the performance of the proposed approach is compared with a recently developed method, color difference histogram (CDH). Performance evaluation through extensive experiments reveals the superiority of the proposed approach over the state-of-the-art technique.
In this paper we present a novel method for compression of focused plenoptic (light field) images. Plenoptic image is an array of lenslet images where the consecutive images act as stereo images. Adjacent lenslet imag...
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ISBN:
(纸本)1595930361
In this paper we present a novel method for compression of focused plenoptic (light field) images. Plenoptic image is an array of lenslet images where the consecutive images act as stereo images. Adjacent lenslet images have overlapping regions leading to higher levels of redundancy than observed in a normal image. We use this overlap to appropriately select a set of reference images from which the remaining lenslet images can be approximately reconstructed. these reference images can be compressed using jpeg. the residue of the reconstructed image from the original image is compressed using either DWT-SPIHT or DCT based compression. Using the proposed method we are able to compress the image at high PSNR at a low bits per pixel (bpp). Copyright 2014 ACM.
this paper proposes a real-time solution to setting up a virtual trial-room for on-line portals selling apparels using a generic web camera interface to the portal. the user selects an image of an apparel from the on-...
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ISBN:
(纸本)1595930361
this paper proposes a real-time solution to setting up a virtual trial-room for on-line portals selling apparels using a generic web camera interface to the portal. the user selects an image of an apparel from the on-line display and captures his/her own videos. the proposed method detects the pose of the user as well as various anthropomorphic features such as length and thickness of upper limbs and the dimensions of the torso. We use a background subtraction based methodology to segment out the human body from the image. the segmented human body contour is represented by a 1D curve by computing the distance of a point on the contour from the body centroid. Various extremities of body parts are found out by measuring the curvature. Using the detected feature points, we use a cloth fitting algorithm to fit the garment to the users body. the entire process is performed at 30fps, providing a realistic rendering of virtual clothing for any user.
Camouaging an object in a photograph is normally performed withthe intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of...
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ISBN:
(纸本)1595930361
Camouaging an object in a photograph is normally performed withthe intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of camouaging motion blur with special relevance to non-uniformly blurred images. Given a blurred photograph, we apply a suitably derived blurring model to smear a target object and naturally blend it into the motion blurred background by using alpha matting. We validate our photo-realistic compositing approach on several synthetic and real examples. Copyright 2014 ACM.
Detection of text embedded in images and videos is very useful in applications like indexing and retrieval of multimedia content. there exist very few techniques which can differentiate between overlay text which is e...
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ISBN:
(纸本)1595930361
Detection of text embedded in images and videos is very useful in applications like indexing and retrieval of multimedia content. there exist very few techniques which can differentiate between overlay text which is embedded artificially and scene text which occurs naturally in images. this paper proposes an efficient method for detection and localization of overlay text from still images. By using colour filter array(CFA)-based forgery localization method, the proposed technique successfully removes any scene text present in the image. Experimental results on a database of 315images demonstrate the efficiency of the proposed method. Copyright 2014 ACM.
Synthetic Aperture Radar (SAR) images are efficient and reliable source of information in extraction of damaged regions in case of floods. In assessment of damage accurately due to floods, image registration of optica...
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ISBN:
(纸本)1595930361
Synthetic Aperture Radar (SAR) images are efficient and reliable source of information in extraction of damaged regions in case of floods. In assessment of damage accurately due to floods, image registration of optical (before-flood) and SAR images (after-flood) has to be carried out efficiently. In this paper, we discuss a robust multi-sensor image registration algorithm using scale invariant feature points for keypoint extraction. For matching the keypoints, a multi-objective genetic algorithm is developed with angle, distance and vicinity criterion as the fitness functions. this optimization process helps in matching the scale invariant feature points. From the obtained results, the performance of the image registration is evaluated and it is concluded that the proposed approach is efficient. Copyright 2014 ACM.
We present a GPU-based implementation of the saliency model proposed by Achanta et al. [1] to perform real-time and detailed saliency map generation. We map all the components of the algorithm to GPU-based kernels and...
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ISBN:
(纸本)1595930361
We present a GPU-based implementation of the saliency model proposed by Achanta et al. [1] to perform real-time and detailed saliency map generation. We map all the components of the algorithm to GPU-based kernels and data structures. the parallel version of the algorithm is able to accurately simulate the desired results in a very low time. We describe the streaming pipeline and address many issues in terms of obtaining high throughput on multi-core GPUs. We highlight the parallel performance of the algorithm on three different generations of GPUs. On a high-end NVIDIA Tesla K20m, we observe up to 600x order of magnitude performance improvement as compared to a singlethreaded CPU-based algorithm, and about 300x order of magnitude improvement over a CPU-based OpenCV implementation. Copyright 2014 ACM.
In this paper, a method for color image segmentation using multiscale intuitionistic fuzzy roughness measure is proposed. the traditional roughness measure tends to over focus on the little important homogeneous regio...
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ISBN:
(纸本)1595930361
In this paper, a method for color image segmentation using multiscale intuitionistic fuzzy roughness measure is proposed. the traditional roughness measure tends to over focus on the little important homogeneous regions but is not accurate enough to measure the homogeneity in an image. By applying the theories of scale space and using intuitionistic fuzzy representation for images, roughness is measured under multiple scales. Multiscale representation can tolerate the disturbance of trivial regions, and intuitionistic fuzzy representation deals with hesitancy in image boundary, therefore produces precise segmentation results. Copyright 2014 ACM.
Simulation and rendering of material weathering is of great interest in computergraphics as it facilitates modeling of realistic objects in virtual scenes. We present a physiochemically based methodology to model pit...
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ISBN:
(纸本)1595930361
Simulation and rendering of material weathering is of great interest in computergraphics as it facilitates modeling of realistic objects in virtual scenes. We present a physiochemically based methodology to model pitting corrosion. Our simulation has two components. the first models pit nucleation on the surface of the object. It is implemented as a stochastic process, exponentially deteriorating with time. the second component models pit growth using another stochastic process inuenced by pit characteristics (geometry, neighborhood and exposure). We validate our model with measurements published in the corrosion literature and then demonstrate its effectiveness in generating realistic images. Our corrosion model leads to shape degradation. Color degradation is less tractable. Hence we instead learn that directly from acquired images of corroded models. We present an efficient rendering algorithm that generates color, normal and depth textures to display the corrosion of any object of interest. this is an important step in linking the appearance to structural damage. Copyright 2014. ACM.
this paper proposes a framework for classification of label-free, unstained, leukemia cell lines MOLT and K562 in microuidics based Imaging Flow Cytometry (IFC). these two cell lines differ in their internal cell comp...
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ISBN:
(纸本)1595930361
this paper proposes a framework for classification of label-free, unstained, leukemia cell lines MOLT and K562 in microuidics based Imaging Flow Cytometry (IFC). these two cell lines differ in their internal cell complexity in an IFC image. Each cell is localized by finding a closed cell membrane binding internal organelles. An existing non-iterative graph based contour detection algorithm is extended and is effectively used to segment out the cells. Features reecting the size, circularity and internal cell complexity are extracted and used for classification using linear Support Vector Machine. Copyright is held by the authors.
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