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Relevant bibliographies by topics / Content-Based Image Retrieval (CBIR) / Dissertations / Theses

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Dissertations / Theses on the topic 'Content-Based Image Retrieval (CBIR)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Macena, Júnior Elias Borges. "Aplicação de técnicas de content-based image retrieval (CBIR) em imagens radiográficas." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/6405.

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Submitted by Cássia Santos (cassia.bcufg@gmail.com) on 2016-10-17T13:34:17Z No. of bitstreams: 2 Dissertação - Elias Borges Macena Junior - 2016.pdf: 9321304 bytes, checksum: ca477b8a1eeb56b690f41c443b0ca638 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Jaqueline Silva (jtas29@gmail.com) on 2016-10-17T17:17:50Z (GMT) No. of bitstreams: 2 Dissertação - Elias Borges Macena Junior - 2016.pdf: 9321304 bytes, checksum: ca477b8a1eeb56b690f41c443b0ca638 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>

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Larsson, Jimmy. "Taxonomy Based Image Retrieval : Taxonomy Based Image Retrieval using Data from Multiple Sources." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180574.

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With a multitude of images available on the Internet, how do we find what we are looking for? This project tries to determine how much the precision and recall of search queries is improved by using a word taxonomy on traditional Text-Based Image Search and Content-Based Image Search. By applying a word taxonomy to different data sources, a strong keyword filter and a keyword extender were implemented and tested. The results show that depending on the implementation, the precision or the recall can be increased. By using a similar approach on real life implementations, it is possible to force

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3

Voulgaris, Georgios. "Techniques for content-based image characterization in wavelets domain." Thesis, University of South Wales, 2008. https://pure.southwales.ac.uk/en/studentthesis/techniques-for-contentbased-image-characterization-in-wavelets-domain(14c72275-a91e-4ba7-ada8-bdaee55de194).html.

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This thesis documents the research which has led to the design of a number of techniques aiming to improve the performance of content-based image retrieval (CBIR) systems in wavelets domain using texture analysis. Attention was drawn on CBIR in transform domain and in particular wavelets because of the excellent characteristics for compression and texture extraction applications and the wide adoption in both the research community and the industry. The issue of performance is addressed in terms of accuracy and speed. The rationale for this research builds upon the conclusion that CBIR has not

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4

Banda, Juan. "Framework for creating large-scale content-based image retrieval system (CBIR) for solar data analysis." Diss., Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/banda/BandaJ0511.pdf.

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With the launch of NASA's Solar Dynamics Observatory mission, a whole new age of high-quality solar image analysis was started. With the generation of over 1.5 Terabytes of solar images, per day, that are ten times higher resolution than high-definition television, the task of analyzing them by scientists by hand is simply impossible. The storage of all these images becomes a second problem of importance due to the fact that there is only one full copy of this repository in the world, therefore an alternate and compressed representation of these images is of vital importance. Current automated

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Govindarajan, Hariprasath. "Self-Supervised Representation Learning for Content Based Image Retrieval." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166223.

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Automotive technologies and fully autonomous driving have seen a tremendous growth in recent times and have benefitted from extensive deep learning research. State-of-the-art deep learning methods are largely supervised and require labelled data for training. However, the annotation process for image data is time-consuming and costly in terms of human efforts. It is of interest to find informative samples for labelling by Content Based Image Retrieval (CBIR). Generally, a CBIR method takes a query image as input and returns a set of images that are semantically similar to the query image. The

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Weng, Zumao. "Distributed knowledge based image contents retrieval and exploration." Thesis, University of Ulster, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370088.

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7

Makovoz, Gennadiy. "Latent Semantic Analysis as a Method of Content-Based Image Retrieval in Medical Applications." NSUWorks, 2010. http://nsuworks.nova.edu/gscis_etd/227.

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The research investigated whether a Latent Semantic Analysis (LSA)-based approach to image retrieval can map pixel intensity into a smaller concept space with good accuracy and reasonable computational cost. From a large set of computed tomography (CT) images, a retrieval query found all images for a particular patient based on semantic similarity. The effectiveness of the LSA retrieval was evaluated based on precision, recall, and F-score. This work extended the application of LSA to high-resolution CT radiology images. The images were chosen for their unique characteristics and their importa

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Viet, Tran Linh. "Efficient Image Retrieval with Statistical Color Descriptors." Doctoral thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5002.

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Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. A distance measure is then used to measure the (dis-)similarity between images based on the descriptions of their color distributions in order to quickly find relevant images. The development and investigation of statistical methods for robust representations of such distributions, the construction of distance measures between them and their applications in efficient retrieval

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Filardi, Ana Lúcia. "Análise e avaliação de técnicas de interação humano-computador para sistemas de recuperação de imagens por conteúdo baseadas em estudo de caso." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06122007-123935/.

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A recuperação de imagens baseada em conteúdo, amplamente conhecida como CBIR (do inglês Content-Based Image Retrieval), é um ramo da área da computação que vem crescendo muito nos últimos anos e vem contribuindo com novos desafios. Sistemas que utilizam tais técnicas propiciam o armazenamento e manipulação de grandes volumes de dados e imagens e processam operações de consultas de imagens a partir de características visuais extraídas automaticamente por meio de métodos computacionais. Esses sistemas devem prover uma interface de usuário visando uma interação fácil, natural e atraente entre o u

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Henrysson, Jennie, Kristina Johansson, and Charlotte Juhlin. "Vad säger bilden? : En utvärdering av återvinningseffektiviteten i ImBrowse." Thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18375.

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The aim of this master thesis is to evaluate the performance of the content-based image retrieval system ImBrowse from a semantic point of view. Evaluation of retrieval performance is a problem in content-based image retrieval (CBIR). There are many different methods for measuring the performance of content-based image retrieval systems, but no common way for performing the evaluation. The main focus is on image retrieval regarding the extraction of the visual features in the image, from three semantic levels. The thesis tries to elucidate the semantic gap, which is the problem when the system

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Letessier, Pierre. "Découverte et exploitation d'objets visuels fréquents dans des collections multimédia." Thesis, Paris, ENST, 2013. http://www.theses.fr/2013ENST0014/document.

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L’objectif principal de cette thèse est la découverte d’objets visuels fréquents dans de grandes collections multimédias (images ou vidéos). Comme dans de nombreux domaines (ﬁnance, génétique, . . .), il s’agit d’extraire une connaissance de manière automatique ou semi-automatique en utilisant la fréquence d’apparition d’un objet au sein d’un corpus comme critère de pertinence. Une première contribution de la thèse est de fournir un formalisme aux problèmes de découverte et de fouille d’instances d’objets visuels fréquents. La deuxième contribution de la thèse est une méthode générique de réso

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Hai, Bui Thanh. "Group-Theoretical Structure in Multispectral Color and Image Databases." Doctoral thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-3818.

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Many applications lead to signals with nonnegative function values. Understanding the structure of the spaces of nonnegative signals is therefore of interest in many different areas. Hence, constructing effective representation spaces with suitable metrics and natural transformations is an important research topic. In this thesis, we present our investigations of the structure of spaces of nonnegative signals and illustrate the results with applications in the fields of multispectral color science and content-based image retrieval. The infinite-dimensional Hilbert space of nonnegative signals

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Rosa, Natália Abdala. "Uma abordagem prática e eficiente de consultas por similaridade para suporte a diagnóstico por imagens." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-03122002-144154/.

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O objetivo desse trabalho é apresentar as características de um Sistema de Apoio ao Diagnóstico em Sistema Hospitalar Suportando Busca por Imagens Similares, a ser desenvolvido e implantado no Hospital das Clínicas de Ribeirão Preto. A recuperação de imagens baseada no conteúdo é uma área de pesquisa que tem evoluído bastante nos últimos anos. Assim, um sistema de busca e obtenção de imagens, utilizando tal técnica, deve ser extensível aos novos algoritmos de extração de características e métodos de indexação. A extração de características de imagens, tais como informações de cor, textura, for

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Wilhelm, Thomas. "Entwurf und Implementierung eines Frameworks zur Analyse und Evaluation von Verfahren im Information Retrieval." Master's thesis, [S.l. : s.n.], 2008. https://monarch.qucosa.de/id/qucosa%3A18962.

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Moreux, Jean-Philippe, and Guillaume Chiron. "Image Retrieval in Digital Libraries: A Large Scale Multicollection Experimentation of Machine Learning techniques." Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden, 2017. https://slub.qucosa.de/id/qucosa%3A16444.

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While historically digital heritage libraries were first powered in image mode, they quickly took advantage of OCR technology to index printed collections and consequently improve the scope and performance of the information retrieval services offered to users. But the access to iconographic resources has not progressed in the same way, and the latter remain in the shadows: manual incomplete and heterogeneous indexation, data silos by iconographic genre. Today, however, it would be possible to make better use of these resources, especially by exploiting the enormous volumes of OCR produced dur

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Letessier, Pierre. "Découverte et exploitation d'objets visuels fréquents dans des collections multimédia." Electronic Thesis or Diss., Paris, ENST, 2013. http://www.theses.fr/2013ENST0014.

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L’objectif principal de cette thèse est la découverte d’objets visuels fréquents dans de grandes collections multimédias (images ou vidéos). Comme dans de nombreux domaines (ﬁnance, génétique, . . .), il s’agit d’extraire une connaissance de manière automatique ou semi-automatique en utilisant la fréquence d’apparition d’un objet au sein d’un corpus comme critère de pertinence. Une première contribution de la thèse est de fournir un formalisme aux problèmes de découverte et de fouille d’instances d’objets visuels fréquents. La deuxième contribution de la thèse est une méthode générique de réso

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Freitas, Anderson Meirelles. "TSS e TSB: novos descritores de forma baseados em tensor scale." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-20122017-205014/.

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Neste trabalho são apresentados dois novos descritores de forma para tarefas de recuperação de imagens por conteúdo (CBIR) e análise de formas, que são construídos sobre uma extensão do conceito de tensor scale baseada na Transformada de Distância Euclidiana (EDT). Primeiro, o algoritmo de tensor scale é utilizado para extrair informações da forma sobre suas estruturas locais (espessura, orientação e anisotropia) representadas pela maior elipse contida em uma região homogênea centrada em cada pixel da imagem. Nos novos descritores, o limite do intervalo das orientações das elipses do modelo de

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Berni, Cristiano Albiero. "ARQUITETURA PARA RECUPERAÇÃO DE IMAGENS DIAGNÓSTICAS BASEADA EM CONTEÚDO: UMA FERRAMENTA PARA AUXÍLIO À RADIOLOGIA EM AMBIENTE PACS." Universidade Federal de Santa Maria, 2012. http://repositorio.ufsm.br/handle/1/5410.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>One of the main forms of diagnosis used nowadays matches the exams performed by analysis of diagnostic images. Due to a growing request for this kind of diagnostic and the repetitive manual procedure of the used methods by radiologists new ways are emerging to aid procedures. A tool that can help the physician to report a diagnosis is searching similar cases for that which is being held with the main function of increased safety to the radiologist in his notes. For this, a modular architecture for content-based diagnostic image ret

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Niaz, Usman. "Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel." Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0040/document.

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Les documents visuels comprenant des images et des vidéos sont en croissance rapide sur Internet et dans nos collections personnelles. Cela nécessite une analyse automatique du contenu visuel qui fait appel à la conception de méthodes intelligentes pour correctement indexer, rechercher et récupérer des images et des vidéos. Cette thèse vise à améliorer la détection automatique des concepts dans les vidéos sur Internet. Nos contributions portent sur des différents niveaux dans le cadre de détection de concept et peuvent être divisés en trois parties principales. La première partie se focalise s

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Silva, Katia Veloso. "Proposta de um histograma perceptual de cores como característica para recuperação de imagens baseada em conteúdo." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-22112006-135045/.

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Este trabalho foi desenvolvido com o intuito de se estabelecer uma metodologia para a classificação das cores de imagens digitais em cores perceptuais para se gerar um vetor de características que permita recuperar imagens através de seu conteúdo em uma base de dados. Em trabalhos e estudos correlatos analisados, as metodologias de agrupamento das diversas cores possíveis de uma imagem não permitem uma associação entre a cor digitalizada e a cor percebida por seres humanos. Estudos mostram que a maioria das culturas humanas associam às cores apenas onze termos: vermelho, amarelo, violeta, azul

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Pereira, Silvio Moreto. "Caracterização de imagens de úlceras dermatológicas para indexação e recuperação por conteúdo." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/82/82131/tde-08012013-110054/.

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Úlceras de pele são causadas devido à deficiência na circulação sanguínea. O diagnóstico é feito pela análise visual das regiões afetadas. A quantificação da distribuição de cores da lesão, por meio de técnicas de processamento de imagens pode auxiliar na caracterização e análise da dinâmica do processo patológico e resposta ao tratamento. O processamento de imagens de úlceras dermatológicas envolve etapas relacionadas a segmentação, caracterização e indexação. Esta análise é importante para classificação, recuperação de imagens similares e acompanhamento da evolução de uma lesão. Este trabalh

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Niaz, Usman. "Amélioration de la détection des concepts dans les vidéos en coupant de plus grandes tranches du monde visuel." Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0040.

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Les documents visuels comprenant des images et des vidéos sont en croissance rapide sur Internet et dans nos collections personnelles. Cela nécessite une analyse automatique du contenu visuel qui fait appel à la conception de méthodes intelligentes pour correctement indexer, rechercher et récupérer des images et des vidéos. Cette thèse vise à améliorer la détection automatique des concepts dans les vidéos sur Internet. Nos contributions portent sur des différents niveaux dans le cadre de détection de concept et peuvent être divisés en trois parties principales. La première partie se focalise s

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Ren, Feng Hui. "Multi-image query content-based image retrieval." Access electronically, 2006. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20070103.143624/index.html.

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Nanayakkara, Wasam Uluwitige Dinesha Chathurani. "Content based image retrieval with image signatures." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/104286/1/Dinesha_Chathurani_Nanayakkara_Thesis.pdf.

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This thesis develops a system to search for relevant images when user inputs a particular image as a query. The concept is similar to text search in Google or Yahoo. However, understanding image content is more difficult than text content. The system provides a method to retrieve similar images pertaining to the query easily and quickly. It allows end users to refine the original query iteratively where they have no effective way to reformulate the original image query. The results from empirical evaluations suggest that our system is fast, provides a broad spectrum of images even with underly

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Li, Fang. "Content-based retrieval for image databases." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0019/MQ48276.pdf.

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Rodhetbhai, Wasara. "Preprocessing for content-based image retrieval." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/66393/.

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The research focuses on image retrieval problems where the query is formed as an image of a specific object of interest. The broad aim is to investigate pre-processing for retrieval of images of objects when an example image containing the object is given. The object may be against a variety of backgrounds. Given the assumption that the object of interest is fairly centrally located in the image, the normalized cut segmentation and region growing segmentation are investigated to segment the object from the background but with limited success. An alternative approach comes from identifying sali

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Saroop, Sahil. "Exploring Mediatoil Imagery: A Content-Based Approach." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35334.

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The future of Alberta’s bitumen sands, also known as “oil sands” or “tar sands,” and their place in Canada’s energy future has become a topic of much public debate. Within this debate, the print, television, and social media campaigns of those who both support and oppose developing the oil sands are particularly visible. As such, campaigns around the oil sands may be seen as influencing audience perceptions of the benefits and drawbacks of oil sands production. There is consequently a need to study the media materials of various tar sands stakeholders and explore how they differ. In this setti

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Deb, Sagarmay. "Content-based image retrieval based on emergence index." University of Southern Queensland, Faculty of Sciences, 2003. http://eprints.usq.edu.au/archive/00001420/.

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Emergence is a phenomenon where we study the implicit or hidden meaning of an image. We introduce this concept in image database access and retrieval of images using his as an index for retrieval. This would give an entirely different search outcome than ordinary search where emergence is not considered, as consideration of hidden meanings could change the index of search. A feature of an image, which is not explicit would be emergent feature if it can be made explicit. There are three types of emergence: computational emergence, thermodynamic emergence and emergence relative to a model. In co

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Kalmegh, Prajakta. "Image mining methodologies for content based retrieval." Thesis, Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/39587.

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The thesis presents a system for content based image retrieval and mining. The research presents a design of a scalable solution for efficient retrieval of images from large image databases using image features such as color, shape and texture. A framework for automatic labeling of images and clustering of meta data in database based on the dominant shapes, textures and colors in the image is proposed. The thesis also presents a new image tagging methodology to annotate the dominant image features to the image as meta data. The users of this system can input a query image and select similar

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Carkacioglu, Abdurrahman. "Texture Descriptors For Content-based Image Retrieval." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1035534/index.pdf.

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Content Based Image Retrieval (CBIR) systems represent images in the database by color, texture, and shape information. In this thesis, we concentrate on tex- ture features and introduce a new generic texture descriptor, namely, Statistical Analysis of Structural Information (SASI). Moreover, in order to increase the re- trieval rates of a CBIR system, we propose a new method that can also adapt an image retrieval system into a con&macr<br>gurable one without changing the underlying feature extraction mechanism and the similarity function. SASI is based on statistics of clique autocorrelation

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Zhao, Yibei, and Yang Zhou. "Leaves identification by content-based image retrieval." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13651.

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Westmacott, Mike. "Content based image retrieval : analogies with text." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423038.

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Ahmad, Fauzi Mohammad Faizal. "Content-based image retrieval of museum images." Thesis, University of Southampton, 2004. https://eprints.soton.ac.uk/261546/.

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Content-based image retrieval (CBIR) is becoming more and more important with the advance of multimedia and imaging technology. Among many retrieval features associated with CBIR, texture retrieval is one of the most difficult. This is mainly because no satisfactory quantitative definition of texture exists at this time, and also because of the complex nature of the texture itself. Another difficult problem in CBIR is query by low-quality images, which means attempts to retrieve images using a poor quality image as a query. Not many content-based retrieval systems have addressed the problem of

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Zhang, Lelin. "Scalable Content-Based Image and Video Retrieval." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/15439.

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The popularity of the Internet and portable image capturing devices brings in unprecedented amount of images and videos. Content-based visual search provides an important tool for users to consume the ever-growing digital media repositories, and is becoming an increasingly demanding task as never before. In this thesis, we focus on improving the scalability, efficiency and usability of content-based image and video retrieval systems, particularly in dynamic and open environments. Towards our goal, we make four contributions to the research community. First, we propose a scalable approach to ad

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Alwis, T. P. G. L. S. "Content-based retrieval of trademark images." Thesis, University of York, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325596.

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Vermilyer, Robert. "Knowledge Discovery in Content-Based Image Retrieval Systems." NSUWorks, 2005. http://nsuworks.nova.edu/gscis_etd/898.

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The advent of the World Wide Web and digital photography has led to a phenomenal increase in the number and complexity of stored images. Accordingly, the ability to browse and retrieve images based upon image content is of rapidly growing importance. The goals of this research project are to develop a Content-Based Image Retrieval (CBIR) system that combines dynamic, user-driven search capabilities with artificial intelligence techniques and to examine the system's effectiveness. The experimental method will be used to test the specific hypotheses and various research questions proposed in thi

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Nahar, Vikas. "Content based image retrieval for bio-medical images." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2010. http://scholarsmine.mst.edu/thesis/pdf/Nahar_09007dcc80721e0b.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2010.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed Dec. 23, 2009). Includes bibliographical references (p. 82-83).

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Faichney, Jolon. "Content-Based Retrieval of Digital Video." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/365697.

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In the next few years consumers will have access to large amounts of video and image data either created by themselves with digital video and still cameras or by having access to other image and video content electronically. Existing personal computer hardware and software has not been designed to manage large quantities of multimedia content. As a result, research in the area of content-based video retrieval (CBVR) has been underway for the last fifteen years. This research aims to improve CBVR by providing an accurate and reliable shape-colour representation and by providing a new 3D user in

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Berman, Andrew P. "Efficient content-based retrieval of images using triangle-inequality-based algorithms /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6989.

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Li, Yi. "Object and concept recognition for content-based image retrieval /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/7006.

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Turcat, Jean-Philippe. "Object-based content representation and analysis for image retrieval." Thesis, Staffordshire University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394142.

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Dupplaw, David Paul. "Content based image retrieval using scale space object trees." Thesis, University of Southampton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273872.

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Teng, Fei. "A Content-Based Image Retrieval System for Fish Taxonomy." ScholarWorks@UNO, 2006. http://scholarworks.uno.edu/td/377.

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It is estimated that less than ten percent of the world's species have been discovered and described. The main reason for the slow pace of new species description is that the science of taxonomy, as traditionally practiced, can be very laborious: taxonomists have to manually gather and analyze data from large numbers of specimens and identify the smallest subset of external body characters that uniquely diagnoses the new species as distinct from all its known relatives. The pace of data gathering and analysis can be greatly increased by the information technology. In this paper, we pr

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Aksoy, Selim. "A probabilistic similarity framework for content-based image retrieval /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/5939.

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Mohamed, Aamer Saleh Sahel. "From content-based to semantic image retrieval : low level feature extraction, classification using image processing and neural networks, content based image retrieval, hybrid low level and high level based image retrieval in the compressed DCT domain." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4438.

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Digital image archiving urgently requires advanced techniques for more efficient storage and retrieval methods because of the increasing amount of digital. Although JPEG supply systems to compress image data efficiently, the problems of how to organize the image database structure for efficient indexing and retrieval, how to index and retrieve image data from DCT compressed domain and how to interpret image data semantically are major obstacles for further development of digital image database system. In content-based image, image analysis is the primary step to extract useful information from

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Mohamed, Aamer S. S. "From content-based to semantic image retrieval. Low level feature extraction, classification using image processing and neural networks, content based image retrieval, hybrid low level and high level based image retrieval in the compressed DCT domain." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4438.

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Abstract:

Digital image archiving urgently requires advanced techniques for more efficient storage and retrieval methods because of the increasing amount of digital. Although JPEG supply systems to compress image data efficiently, the problems of how to organize the image database structure for efficient indexing and retrieval, how to index and retrieve image data from DCT compressed domain and how to interpret image data semantically are major obstacles for further development of digital image database system. In content-based image, image analysis is the primary step to extract useful information from

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Borràs, Agnosto Agnès. "Contributions to the Content-Based Image Retrieval Using Pictorial Queris." Doctoral thesis, Universitat Autònoma de Barcelona, 2009. http://hdl.handle.net/10803/5794.

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L'accés massiu a les càmeres digitals, els ordinadors personals i a Internet, ha propiciat la creació de grans volums de dades en format digital. En aquest context, cada vegada adquireixen major rellevància totes aquelles eines dissenyades per organitzar la informació i facilitar la seva cerca.<br/>Les imatges són un cas particular de dades que requereixen tècniques específiques de descripció i indexació. L'àrea de la visió per computador encarregada de l'estudi d'aquestes tècniques rep el nom de Recuperació d'Imatges per Contingut, en anglès Content-Based Image Retrieval (CBIR). Els sistemes

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Seaborn, Matthew. "Colour content based image retrieval using spatial and perceptual cues." Thesis, Brunel University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342391.

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Meghdadi, Amir Hossein. "Fuzzy Tolerance Neighborhood Approach to Image Similarity in Content-based Image Retrieval." 2012. http://hdl.handle.net/1993/8094.

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The main contribution of this thesis, is to define similarity measures between two images with the main focus on content-based image retrieval (CBIR). Each image is considered as a set of visual elements that can be described with a set of visual descriptions (features). The similarity between images is then defined as the nearness between sets of elements based on a tolerance and a fuzzy tolerance relation. A tolerance relation is used to describe the approximate nature of the visual perception. A fuzzy tolerance relation is adopted to eliminate the need for a sharp threshold and hence model

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Henry, Christopher James. "Near Sets: Theory and Applications." 2010. http://hdl.handle.net/1993/4267.

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The focus of this research is on a tolerance space-based approach to image analysis and correspondence. The problem considered in this thesis is one of extracting perceptually relevant information from groups of objects based on their descriptions. Object descriptions are represented by feature vectors containing probe function values in a manner similar to feature extraction in pattern classification theory. The motivation behind this work is the synthesizing of human perception of nearness for improvement of image processing systems. In these systems, the desired output is similar to the out

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