Content Based Image Classification
Mostrando 1-9 de 9 artigos, teses e dissertações.
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1. Content Based Geographic Image Retrieval using Local Vector Pattern
ABSTRACT Large image archives formed by satellite remote sensing missions are getting an increasing valuable source of information in Geographic Information Systems (GIS). The need for retrieving a required image from a huge image database is increasing significantly for the purpose of analyzing resources in GIS. Content Based Geographic Image Retrieval (CBG
Braz. arch. biol. technol.. Publicado em: 25/06/2018
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2. Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters
ABSTRACT: Citrus seeds normally have low storability. Identifying an optimal fruit harvest time for production of high vigor seeds is important for nurseries; however, identifying this stage for Swingle citrumelo fruits has been based only on visual color examination, and research related to this parameter has been inconsistent. The main objective of this st
Sci. agric. (Piracicaba, Braz.). Publicado em: 2017-10
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3. Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação / Feature selection by genetic algorithms to improve ranking and classification models
Content-based image retrieval (CBIR) and classification systems rely on feature vectors extracted from images considering specific visual criteria. It is common that the size of a feature vector is of the order of hundreds of elements. When the size (dimensionality) of the feature vector is increased, a higher degree of redundancy and irrelevancy can be obse
Publicado em: 2011
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4. Redes Neurais ProbabilÃsticas para ClassificaÃÃo de Imagens BinÃrias
Este trabalho propÃe uma nova abordagem para classificaÃÃo de objetos em imagens binÃrias de duas dimensÃes usando descritores de curvatura, descritores de momento e uma rede neural artificial. O modelo proposto classifica objetos utilizando uma rede neural supervisionada e, atravÃs do uso de uma distribuiÃÃo de probabilidade, associa um coeficiente
Publicado em: 2009
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5. TÉCNICAS DE CLUSTERIZAÇÃO BASEADAS EM CARACTERÍSTICAS DE COR PARA A CONSULTA EM BANCOS DE DADOS DE IMAGENS / TECHNIQUES OF CLUSTER-BASED FEATURES FOR CLASSIFICATION OF COLOR IMAGES
As tecnologias atuais de aquisição, armazenamento e transmissão de dados digitais geram grandes quantidades de dados. Esse aumento quantitativo é diretamente proporcional à ampliação das bases de dados multimídia, onde se inserem as bases de imagens. Fatores relevantes que contribuem para esta ampliação são o acesso e a geração de dados multimí
Publicado em: 2009
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6. Análise de conteúdo de vídeo por meio de aprendizado ativo
Advances in compression techniques, decreasing cost of storage, and high-speed transmission have facilitated the way videos are created, stored and distributed. As a consequence, videos are now being used in many applications areas. The increase in the amount of video data deployed and used in today s applications reveals not only the importance as multimedi
Publicado em: 2007
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7. Proposal of a perception color histogram as characteristic for content-based image retrieval / Proposta de um histograma perceptual de cores como característica para recuperação de imagens baseada em conteúdo
This work aims at establishing a digital image classification methodology based on perceptual colors, by generating a feature vector that allows retrieving images from a database by their content. In related works the methodologies of grouping the diverse possible colors of an image do not allow associate digitized colors and those colors perceived by human
Publicado em: 2006
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8. Sumarização de vídeos de futebol com baixo custo computacional utilizando ritmo visual : descritores de cor e movimento de câmara
The growth of multimedia contents production has created the necessity of new techniques for efficient storage and retrieval of these contents. The area of Content Based Image Retrieval is a research field whose goal is to develop Computer Vision based methods for indexing and retrieval of images and videos. Visual features such as color, shape, texture and
Publicado em: 2006
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9. Classificação e recuperação de imagens por cor utilizando técnicas de inteligência artificial
Image retrieval and classification are today the subject of extensive research. This topic poses both theoretical and practical challenges as researchers attempt to give machines such as computers and robots the ability to see. Image retrieval and classification are part of a wider field known as Computer Vision, which encompasses several practical applicati
Publicado em: 2003