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Dissertations / Theses on the topic 'Content-based features'

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Published: 5 June 2025
Last updated: 16 July 2025

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1

Mohanna, Farahnaz. "Content based video database retrieval using shape features." Thesis, University of Surrey, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250764.

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2

Soysal, Medeni. "Combining Image Features For Semantic Descriptions." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/4/1124353/index.pdf.

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Digital multimedia content production and the amount of content present all over the world have exploded in the recent years. The consequences of this fact can be observed everywhere in many different forms, to exemplify, huge digital video archives of broadcasting companies, commercial image archives, virtual museums, etc. In order for these sources to be useful and accessible, this technological advance must be accompanied by the effective techniques of indexing and retrieval. The most effective way of indexing is the one providing a basis for retrieval in terms of semantic concepts, upon wh
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Buchanan, Philip Hamish. "Artistic Content Representation and Modelling based on Visual Style Features." Thesis, University of Canterbury. Computer Science and Software Engineering, 2013. http://hdl.handle.net/10092/9225.

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This thesis aims to understand visual style in the context of computer science, using traditionally intangible artistic properties to enhance existing content manipulation algorithms and develop new content creation methods. The developed algorithms can be used to apply extracted properties to other drawings automatically; transfer a selected style; categorise images based upon perceived style; build 3D models using style features from concept artwork; and other style-based actions that change our perception of an object without changing our ability to recognise it. The research in this thesis
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Jewell, Nigel John. "Advancement in content based retrieval applicatons : from features to users." Thesis, University of Bristol, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396663.

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Brunner, Gerd. "Structure features for content-based image retrieval and classification problems." [S.l. : s.n.], 2006.

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6

Miotto, Riccardo. "Content-based Music Access: Combining Audio Features and Semantic Information for Music Search Engines." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421582.

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During the last decade, the Internet has reinvented the music industry. Physical media have evolved towards online products and services. As a consequence of this transition, online music corpora have reached a massive scale and are constantly being enriched with new documents. At the same time, a great quantity of cultural heritage content remains undisclosed because of the lack of metadata to describe and contextualize it. This has created a need for music retrieval and discovery technologies that allow users to interact with all these music repositories efficiently and effectively. Musi
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Chemeque, Rabel Marine. "Content-based music recommendation system : A comparison of supervised Machine Learning models and music features." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288534.

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As streaming platforms have become more and more popular in recent years and music consumption has increased, music recommendation has become an increasingly relevant issue. Music applications are attempting to improve their recommendation systems in order to offer their users the best possible listening experience and keep them on their platform. For this purpose, two main models have emerged, collaborative filtering and content-based model. In the former, recommendations are based on similarity computations between users and their musical tastes. The main issue with this method is called col
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Svensson, Adam, and Pär Strandberg. "Managing user generated content in marketing campaigns : A qualitative research of key features for managing marketing campaigns based on user generated content." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35185.

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The modern media landscape presents an increasingly complex and dynamic assembly of traditional and interactive media proposing many new communicative opportunities for marketers. Contemporary marketing is implied to emphasize a paradigmatic shift from a company centric view into consumer centric view. As existing research emphasizes the understanding of interactions in online communities from the user’s perspective, there is yet a research gap concerning the contemporary relevance of managerial challenges related to user involvement in social media marketing.   The purpose of this thesis is t
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9

Al-Jubouri, Hanan. "Multi evidence fusion scheme for content-based image retrieval by clustering localised colour and texture features." Thesis, University of Buckingham, 2015. http://bear.buckingham.ac.uk/106/.

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Content-Based Image Retrieval (CBIR) is an automatic process of retrieving images according to their visual content. Research in this field mainly follows two directions. The first is concerned with the effectiveness in describing the visual content of images (i.e. features) by a technique that lead to discern similar and dissimilar images, and ultimately the retrieval of the most relevant images to the query image. The second direction focuses on retrieval efficiency by deploying efficient structures in organising images by their features in the database to narrow down the search space. The e
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Bookwala, Avinash Turab. "Combined map personalisation algorithm for delivering preferred spatial features in a map to everyday mobile device users." AUT University, 2009. http://hdl.handle.net/10292/920.

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In this thesis, we present an innovative and novel approach to personalise maps/geo-spatial services for mobile users. With the proposed map personalisation approach, only relevant data will be extracted from detailed maps/geo-spatial services on the fly, based on a user’s current location, preferences and requirements. This would result in dramatic improvements in the legibility of maps on mobile device screens, as well as significant reductions in the amount of data being transmitted; which, in turn, would reduce the download time and cost of transferring the required geo-spatial data across
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Haro, Berois Martín. "Statistical distribution of common audio features : encounters in a heavy-tailed universe." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/128623.

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In the last few years some Music Information Retrieval (MIR) researchers have spotted important drawbacks in applying standard successful-in-monophonic algorithms to polyphonic music classification and similarity assessment. Noticeably, these so called “Bag-of-Frames” (BoF) algorithms share a common set of assumptions. These assumptions are substantiated in the belief that the numerical descriptions extracted from short-time audio excerpts (or frames) are enough to capture relevant information for the task at hand, that these frame-based audio descriptors are time independent, and that descrip
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12

Silva, Carolina Yukari Veludo Watanabe da. "Extração de características de imagens médicas utilizando wavelets para mineração de imagens e auxílio ao diagnóstico." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07052008-102458/.

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Sistemas PACS (Picture Archieving and Communication Systems) têm sido desenvolvidos para armazenar de maneira integrada tanto os dados textuais e temporais dos pacientes quanto as imagens dos exames médicos a que eles se submetem para ampliar o uso das imagens no auxílio ao diagnóstico. Outra ferramenta valiosa para o auxílio ao diagnóstico médico são os sistemas CAD (Computer-Aided Diagnosis), para os quais pesquisas recentes mostram que o seu uso melhora significativamente a performance dos radiologistas em detectar corretamente anomalias. Dentro deste contexto, muitos trabalhos têm buscado
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13

Kaufman, Jaime C. "A Hybrid Approach to Music Recommendation: Exploiting Collaborative Music Tags and Acoustic Features." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/540.

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Recommendation systems make it easier for an individual to navigate through large datasets by recommending information relevant to the user. Companies such as Facebook, LinkedIn, Twitter, Netflix, Amazon, Pandora, and others utilize these types of systems in order to increase revenue by providing personalized recommendations. Recommendation systems generally use one of the two techniques: collaborative filtering (i.e., collective intelligence) and content-based filtering. Systems using collaborative filtering recommend items based on a community of users, their preferences, and their browsing
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Honda, Marcelo Ossamu. "Elaboração de uma base de conhecimentos para auxílio ao diagnóstico através da comparação visual de imagens mamográficas." Universidade de São Paulo, 2001. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-16102015-103919/.

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Este trabalho apresenta o estudo e implementação de um banco de conhecimentos para auxiliar o diagnóstico de lesões da mama por inspeção visual, permitindo ao médico consultas através de características pictóricas da imagem e a comparação visual entre imagem investigada e imagens previamente classificadas e suas informações clínicas. As imagens encontram-se classificadas no banco de conhecimentos segundo o padrão \"Breast imaging reporting and data systems\" (BI-RADS) do Colégio Americano de Radiologia. A seleção das imagens, informações clínicas representativas, bem como sua classificação fo
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Dong, Xueyan. "Content-based birdcall retrieval from environmental audio." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/94402/1/Xueyan_Dong_Thesis.pdf.

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This research investigates techniques to analyse long duration acoustic recordings to help ecologists monitor birdcall activities. It designs a generalized algorithm to identify a broad range of bird species. It allows ecologists to search for arbitrary birdcalls of interest, rather than restricting them to just a very limited number of species on which the recogniser is trained. The algorithm can help ecologists find sounds of interest more efficiently by filtering out large volumes of unwanted sounds and only focusing on birdcalls.
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Leveau, Valentin. "Représentations d'images basées sur un principe de voisins partagés pour la classification fine." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT257/document.

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Dans cette thèse, nous nous sommes intéressés au problème de la classification à « grain fin » qui est une tâche de classification particulière où les classes peuvent être visuellement distinguables seulement à partir de détails subtils et où le contexte agit souvent comme une source de bruit. Ce travail est principalement motivé par le besoin de concevoir des représentations d'images plus « fines » pour adresser de telles tâches de classification qui nécessitent un encodage d’informations discriminantes très fines et localisées. L'originalité principale de notre approche est d’intégrer dans u
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Weber, Juliano Gomes. "Técnicas de clusterização baseadas em características de cor para a consulta em bancos de dados de imagens." Universidade Federal de Santa Maria, 2009. http://repositorio.ufsm.br/handle/1/5350.

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The current technologies for acquisition, storage and transmission of digital data, generate large amounts of data. This quantitative increase is directly proportional to the expansion of multimedia databases, where the bases are part of images. Factors contributing to this expansion is the generation of data access and multimedia, which are frequently used by the population through the media today. Thus, we find a clear need exists for automated systems, capable of dealing with the storage and retrieval of data in a time acceptable to the current standards. To this end, systems are designed f
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Bhowmik, Neelanjan. "Recherche multi-descripteurs dans les fonds photographiques numérisés." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1037/document.

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La recherche d’images par contenu (CBIR) est une discipline de l’informatique qui vise à structurer automatiquement les collections d’images selon des critères visuels. Les fonctionnalités proposées couvrent notamment l’accès efficace aux images dans une grande base de données d’images ou l’identification de leur contenu par des outils de détection et de reconnaissance d’objets. Ils ont un impact sur une large gamme de domaines qui manipulent ce genre de données, telles que le multimedia, la culture, la sécurité, la santé, la recherche scientifique, etc.Indexer une image à partir de son conten
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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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20

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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21

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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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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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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Rautiainen, M. (Mika). "Content-based search and browsing in semantic multimedia retrieval." Doctoral thesis, University of Oulu, 2006. http://urn.fi/urn:isbn:9514283007.

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Abstract Growth in storage capacity has led to large digital video repositories and complicated the discovery of specific information without the laborious manual annotation of data. The research focuses on creating a retrieval system that is ultimately independent of manual work. To retrieve relevant content, the semantic gap between the searcher's information need and the content data has to be overcome using content-based technology. Semantic gap constitutes of two distinct elements: the ambiguity of the true information need and the equivocalness of digital video data. The research probl
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Beheshti, Maedeh. "Segmentation, Feature Extraction & Autoimmune Clustering for Foreground-background Image Retrieval." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/365378.

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In our digital era, many attempts in remote sensing, fashion, crime prevention, publishing, medicine, architecture and bio-medicine have resulted in a large number of image data sets. Traditional methods to search and retrieve from these data sets are gradually being replaced by state-of-the-art and modern techniques such as content based image retrieval. Retrieving images through extracting contents as a feature and a similarity measure is one of the most challenging applications of computer vision. Due to the increasing number of images with different varieties and types, the traditional con
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Cardoso, Ana Claudia. "Inclusão de diversidade em consultas aos vizinhos mais próximos usando descritores distintos para similaridade e diversidade." Universidade Federal de São Carlos, 2017. https://repositorio.ufscar.br/handle/ufscar/9303.

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Submitted by Aelson Maciera (aelsoncm@terra.com.br) on 2017-09-13T18:11:26Z No. of bitstreams: 1 DissACC.pdf: 1668214 bytes, checksum: 82bf6ff6918613ce74cc691a951a22b0 (MD5)<br>Approved for entry into archive by Ronildo Prado (bco.producao.intelectual@gmail.com) on 2018-01-25T17:53:52Z (GMT) No. of bitstreams: 1 DissACC.pdf: 1668214 bytes, checksum: 82bf6ff6918613ce74cc691a951a22b0 (MD5)<br>Approved for entry into archive by Ronildo Prado (bco.producao.intelectual@gmail.com) on 2018-01-25T17:54:04Z (GMT) No. of bitstreams: 1 DissACC.pdf: 1668214 bytes, checksum: 82bf6ff6918613ce74cc691a951
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Karaman, Hilal. "A Content Based Movie Recommendation System Empowered By Collaborative Missing Data Prediction." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612037/index.pdf.

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The evolution of the Internet has brought us into a world that represents a huge amount of information items such as music, movies, books, web pages, etc. with varying quality. As a result of this huge universe of items, people get confused and the question &ldquo<br>Which one should I choose?&rdquo<br>arises in their minds. Recommendation Systems address the problem of getting confused about items to choose, and filter a specific type of information with a specific information filtering technique that attempts to present information items that are likely of interest to the user. A variety of
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Gashayija, Jean Marie. "Image classification, storage and retrieval system for a 3 u cubesat." Thesis, Cape Peninsula University of Technology, 2014. http://hdl.handle.net/20.500.11838/1189.

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Thesis submitted in fulfillment of the requirements for the degree Master of Technology: Electrical Engineering in the Faculty of Engineering at the Cape Peninsula University of Technology<br>Small satellites, such as CubeSats are mainly utilized for space and earth imaging missions. Imaging CubeSats are equipped with high resolution cameras for the capturing of digital images, as well as mass storage devices for storing the images. The captured images are transmitted to the ground station and subsequently stored in a database. The main problem with stored images in a large image database, id
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Trahan, Patrick. "Classification of Carpiodes Using Fourier Descriptors: A Content Based Image Retrieval Approach." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/1085.

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Taxonomic classification has always been important to the study of any biological system. Many biological species will go unclassified and become lost forever at the current rate of classification. The current state of computer technology makes image storage and retrieval possible on a global level. As a result, computer-aided taxonomy is now possible. Content based image retrieval techniques utilize visual features of the image for classification. By utilizing image content and computer technology, the gap between taxonomic classification and species destruction is shrinking. This content bas
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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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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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32

Grünseisen, Vojtěch. "Vyhledávání graffiti tagů podle podobnosti." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236413.

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This work focuses on a possibility of using current computer vision alghoritms and methods for automatic similarity matching of so called graffiti tags. Those are such graffiti, that are used as a fast and simple signature of their authors. The process of development and implementation of CBIR system, which is created for this task, is described. For the purposes of finding images similarity, local features are used, most notably self-similarity features.
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Lang, Jozef. "Diff pro multimediální dokumenty." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236433.

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Development of Internet and its massive spread resulted in increased volume of multimedia data. The increase in the amount of multimedia data raises the need for efficient similarity detection between multimedia files for the purpose of preventing and detecting violations of copyright licenses or for detection of similar or duplicate files. This thesis discusses the current options in the field of the content-based image and video comparison and focuses on the feature extraction techniques, distance metrics, design and implementation of the mediaDiff application module for the content-based co
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Castañon, Cesar Armando Beltran. ""Recuperação de imagens por conteúdo através de análise multiresolução por Wavelets"." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-29072004-194807/.

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Os sistemas de recuperação de imagens por conteúdo (CBIR -Content-based Image Retrieval) possuem a habilidade de retornar imagens utilizando como chave de busca outras imagens. Considerando uma imagem de consulta, o foco de um sistema CBIR é pesquisar no banco de dados as "n" imagens mais similares à imagem de consulta de acordo com um critério dado. Este trabalho de pesquisa foi direcionado na geração de vetores de características para um sistema CBIR considerando bancos de imagens médicas, para propiciar tal tipo de consulta. Um vetor de características é uma representação numérica sucinta
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Balan, André Guilherme Ribeiro. "Métodos adaptativos de segmentação aplicados à recuperação de imagens por conteúdo." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15062007-150711/.

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A possibilidade de armazenamento de imagens no formato digital favoreceu a evolução de diversos ramos de atividades, especialmente as áreas de pesquisa e clínica médica. Ao mesmo tempo, o volume crescente de imagens armazenadas deu origem a um problema de relevância e complexidade consideráveis: a Recuperação de Imagens Baseada em Conteúdo, que, em outras palavras, diz respeito à capacidade de um sistema de armazenamento processar operações de consulta de imagens a partir de características visuais, extraídas automaticamente por meio de métodos computacionais. Das principais questões que const
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Bugatti, Pedro Henrique. "Análise da influência de funções de distância para o processamento de consultas por similaridade em recuperação de imagens por conteúdo." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06052008-095020/.

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A recuperação de imagens baseada em conteúdo (Content-based Image Retrieval - CBIR) embasa-se sobre dois aspectos primordiais, um extrator de características o qual deve prover as características intrínsecas mais significativas dos dados e uma função de distância a qual quantifica a similaridade entre tais dados. O grande desafio é justamente como alcançar a melhor integração entre estes dois aspectos chaves com intuito de obter maior precisão nas consultas por similaridade. Apesar de inúmeros esforços serem continuamente despendidos para o desenvolvimento de novas técnicas de extração de cara
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Jayaraman, Sambhavi. "A Structure based Methodology for Retrieving Similar Rasters and Images." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428048689.

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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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Silva, Marcelo Ponciano da. "Sistematização da percepção médica na construção de sistemas para recuperação de imagens por conteúdo." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16052014-154931/.

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Nos últimos anos o mundo tem vivenciado uma avalanche de novas tecnologias para auxílio ao diagnóstico médico. Esses esforços buscam um diagnóstico rápido e preciso através de exames e informações sobre a condição física do paciente. Através do uso de imagens médicas, a radiologia busca a visualização de órgãos ou estruturas internas do corpo humano para encontrar respostas às suspeitas de problemas físicos expressos por sinais e sintomas relatados pelo paciente. Nessa área, os Sistemas de Comunicação e Armazenamento de Imagens (PACS) têm ajudado no armazenamento e organização do crescente núm
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Nguyen, Thanh-Khoa. "Image segmentation and extraction based on pixel communities." Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS035.

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La segmentation d’images est devenue une tâche indispensable largement utilisée dans plusieurs applications de traitement d’images, notamment la détection d’objets, le suivi d’objets, l’assistance automatique à la conduite et les systèmes de contrôle du trafic, etc. La littérature regorge d’algorithmes permettant de réaliser des tâches de segmentation d’images. Ces méthodes peuvent être divisées en groupes principaux en fonction des approches sous-jacentes, telles que la segmentation d'images basée sur les régions, la classification basée sur les caractéristiques de l'image, les approches basé
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Santos, Dalí Freire Dias dos. "Recuperação de imagens: similaridade parcial baseada em espectro de grafo e cor." Universidade Federal de Uberlândia, 2012. https://repositorio.ufu.br/handle/123456789/12531.

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Traditionally, local shape descriptors or color and texture based descriptors are used to describe the content of images. Although, these solutions achieving good results, they are not able to distinguish scenes that contain objects with the same colors, but with a different spatial organization or do not supports partial matching. In this work we focus on a particular case of the partial matching that is to find individual objects in images that contain various objects. Since the color is one of the most visually distinguishable properties, we propose a new descriptor based only on color able
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Lin, Chih-long, and 林志隆. "Content-based Video Retrieval with Multi Features." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/ed84t6.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>102<br>With the advance of multimedia codec technology and communications, multimedia communications become one of the major information media with the aides of internet prevalence. Under this circumstance, image and video data over the Internet contribute to the sea of media and how to search user desired media contents from the sea of media becomes important. Content-Based Video Retrieval (CBVR) methods have been proposed to search user interested video clips, precisely and quickly. Among these researches, extracting image features for similarity measurement is wi
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SINGH, SURJEET. "CONTENT BASED IMAGE RETRIEVAL USING MULTIPLE FEATURES." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14621.

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Content based image retrieval is one of the most important tasks in computer vision. Images have two important visual features, Color and texture which play an important role in content based image retrieval system. In this report, an efficient content-based image retrieval system is proposed based on color and texture feature. We are extracting the color feature by quantifying the Intensity images or gray scale image. It represents an image as a 2D component carrying values between 0 and 255 matrix where every element has a value corresponding to how bright/dark the pixel at the corres
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Wu, Cheng-Yin, and 吳承穎. "Content-Based Image Retrieval System Based On Color And Structure Features." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/82720007087451374692.

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碩士<br>國立交通大學<br>資訊科學系<br>91<br>With the fast development of internet and computer technologies, the demand of multimedia and images are more and more. We prefer to digitize and store them for query and retrieval another day. Traditional information retrieval research, such as text-based information retrieval has remarkable achievement. People can use key words which they define themselves to search interesting information they care about. This method, may be we can use in multimedia information retrieval. Indexing step by step by person is a very tedious job. In the light of this pr
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Gillespie, WJ. "Content based video indexing and retrieval using motion features." Thesis, 2002. https://eprints.utas.edu.au/18578/1/Gillespie_Content_based_video_indexing_and_retrieval_using_motion_features.pdf.

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Presented in this thesis is MPEG VIRS: A content based video indexing and retrieval system. It is a prototype system that allows the automatic population and indexing of a database of MPEG-1 video files, based on colour, texture, and motion features. The system also allows searching of the database via a graphical sketch. The main focus of this thesis is the implementation of the motion indexing process, and additionally the integration of this component into the system as a whole. MPEG VIRS is designed to display the potential of a content based indexing and retrieval system in the grow
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Hsu, Hsin-Ju, and 徐歆茹. "Content Based Image Retrieval Utilizing HEVC Intra Coding Features." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/24260691430358965064.

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碩士<br>國立中央大學<br>通訊工程學系<br>102<br>With the rapid development of Internet and mobile devices, how to efficiently retrieve multimedia information from huge databases becomes an important issue. In the past decade, numerous algorithms were extensively studied for content based image retrieval. However, most existing works retrieve features in the pixel domain, which requires fully decoding images. It is time consuming and memory wasting to retrieve features in the pixel domain. This thesis focuses on the content-based image retrieval in compression domain for the new standard, high efficiency
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Hsu, Rong-Bin, and 徐榮斌. "A Deformable Weight Content-Based Image Retrieval Using Color Features." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/52124620190622519532.

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碩士<br>國立中山大學<br>資訊工程研究所<br>87<br>Traditionally, content based image retrieval focuses on the complete image matching and retrieval. It is difficult to match and retrieve part of the image. In this thesis, we present a deformable weight color matching and a color feature extraction method to solve the problem. There are two kinds of the similarity measurement methods used in the prototype system. One is the complete image similarity measurement, and the other is the deformable weight image similarity measurement. We also use a hierarchical filtering at different levels to reduce the computation
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Yang, Ya-ting, and 楊雅婷. "Content Based Image Retrieval utilizing H.264 Intra Coding Features." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/11329057106395746401.

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碩士<br>國立中央大學<br>通訊工程研究所<br>100<br>With the development of internet and mobile communications, efficient multimedia retrieval from huge databases becomes an important issue. Although content-based image retrieval has been extensively studied in recent years, there still exist shortcomings. In particular, extracting features from fully decompressed image is computation and memory resource consuming. This thesis focuses on the content-based image retrieval in compression domain. The extracted features are based on the I-frame coding information in H.264 that is a powerful and widely used coding
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Ho, Yi, and 何怡. "Improve the Precision of Collaborative Filtering Recommender System by Content-Based Features." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/9unaz9.

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Hong, Cih-Yi, and 洪慈憶. "Development of a Content-Based Tongue Image Retrieval Method Using Color Features." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/19934483283123027863.

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