Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 52 for “"Image Representation"”.
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Unique Image Representation as a Tensor
… orthonormal transform that represents an image as coefficients in 4 independent channels. The salient feature of these coefficients is that they contain complete position spatial frequency information about the image, in a sense that the original image can be reconstructed from these …
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Dictionary learning for scalable sparse image representation
… in terms of data processing and modelling data representation. Fields ranging from experimental sciences, astronomy, computer vision,neuroscience mobile networks etc., are all in constant search for scalable and efficient data processing tools which would enable more effective analysis of …
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Joint appearance and locality image representation by Gaussianization
A novel image representation is proposed in this thesis to capture both the appearance and locality information for image classification applications. First, we model the feature vectors, from various granularity levels including the corpus level, the image level and image patch level, in a …
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Layered image representation : identification of coherent components in image sequences
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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Layout-aware mixture models for patch-based image representation and analysis
"Image and video representation and modeling is an important topic in computer vision and image processing. An image model provides an abstraction of the large amount of data contained in an image and enables the systematic development of algorithms for accomplishing a particular image-related …
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Deep image representation learning for knowledge discovery from earth observation data archives
… technology have increased the availability of images regularly acquired by satelliteborne and airborne sensors, while free data policies support researchers to have access to massive Earth observation data archives. To automatically extract knowledge from these archives on a large-scale, deep …
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Eye detection using discriminatory features and an efficient support vector machine
… This dissertation first introduces five popular image representation methods - the gray-scale image representation, the color image representation, the 2D Haar wavelet image representation, the Histograms of Oriented Gradients (HOG) image representation, and the Local Binary Patterns (LBP) image …
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Face recognition using multiple features in different color spaces
… face recognition methods use gray-scale face images, which have been shown insufficient to tackle these challenges. To overcome this challenging problem in face recognition, this dissertation applies multiple features derived from the color images instead of the intensity images only. First, …
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Local, Semi-Local and Global Models for Texture, Object and Scene Recognition
… recognition tasks that combine salient local image features with spatial relations and effective discriminative learning techniques. First, we introduce a bag of features image model for recognizing textured surfaces under a wide range of transformations, including viewpoint changes and …
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Directional image representations using nonseparable lifting
Sparse representations of visual information are essential for many image processing tasks. Because of the nonstationary geometric structure of natural images, representations derived from one-dimensional tensor products or compact frequency support will be suboptimal. Therefore, there is strong …
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Semantic concept detection from visual content with statistical learning
… news video genre identification and automatic image annotation. For the former, two novel features were proposed to classify sports news video shots; due to the variation of content and shot length, this problem is high challenging. For the latter, we proposed a novel automatic image annotation …
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Nonparametric Bayesian Dictionary Learning and Count and Mixture Modeling
… we study dictionary learning for sparse image representation using the beta process and the dependent hierarchical beta process, and we present the negative binomial process, a novel nonparametric Bayesian prior that unites the seemingly disjoint problems of count and mixture modeling. We …
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O recurso visual como instrumento facilitador na contação de história para surdos
… the research is to verify the relevance of the image representation in the story-telling: There are figurines, the author Claudia Werneck.
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A Malware Classification Method Based on the Multi-Layer Feature Fusion of Malware Image Representations and Opcode Markov Images
… classification method based on the fusion of image representation and opcode features. By integrating the features of image-based malware representation and opcode Markov image, the classification performance is enhanced. Specifically, our model introduces two feature fusion modules: a …
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Image analysis and representation for textile design classification
A good image representation is vital for image comparision and classification; it may affect the classification accuracy and efficiency. The purpose of this thesis was to explore novel and appropriate image representations. Another aim was to investigate these representations for image …
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Pattern extraction and clustering for high-dimensional discrete data
… gene expression data, social network mining, and image representation.
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Action recognition via sequence embedding
… features, we employ three different kinds of image representation method, such as edge detection, Histogram of Oriented Gradients (HOG) and Histogram of Optical Flow (HOF). After capturing shape and motion features, salient weak classifiers are picked up by AdaBoost algorithm. Our approach …
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StreetScenes : towards scene understanding in still images
… that is able to analyze the content of real images. While constructing the system we had to provide solutions to many of the fundamental questions that every student of object recognition deals with daily. These include the choice of data set, the choice of success measurement, the …
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InsideDOG: The Head
… reconstruction of the CT and dissection image data sets of the „Visible Animal Project“ by means of the VOXEL-MAN-System. In consequence one has here succeeded in producing a volume data based computer model consisting of 779 structures detailing the anatomy of the head of a dog, …
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Investigating Different Image Representations for Image Retrieval
With image and video databases becoming more prevalent and larger, so too does the tools used for navigating and searching them. Image retrieval, or the process of finding one particular image from a set of images, is one such process. Image retrieval relies on some innate searching of the images …
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