Relevant bibliographies by topics / Generalisation of the image content

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Generalisation of the image content'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Generalisation of the image content.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Generalisation of the image content"

1

Tsai, Chih‐Fong. "Stacked generalisation: a novel solution to bridge the semantic gap for content‐based image retrieval." Online Information Review 27, no. 6 (2003): 442–45. http://dx.doi.org/10.1108/14684520310510091.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

SCOTT, STEPHEN, JUN ZHANG, and JOSHUA BROWN. "ON GENERALIZED MULTIPLE-INSTANCE LEARNING." International Journal of Computational Intelligence and Applications 05, no. 01 (2005): 21–35. http://dx.doi.org/10.1142/s1469026805001453.

Full text
Abstract:
We describe a generalisation of the multiple-instance learning model in which a bag's label is not based on a single instance's proximity to a single target point. Rather, a bag is positive if and only if it contains a collection of instances, each near one of a set of target points. We then adapt a learning-theoretic algorithm for learning in this model and present empirical results on data from robot vision, content-based image retrieval, and protein sequence identification.
APA, Harvard, Vancouver, ISO, and other styles
3

Achicanoy, Harold, Deisy Chaves, and Maria Trujillo. "StyleGANs and Transfer Learning for Generating Synthetic Images in Industrial Applications." Symmetry 13, no. 8 (2021): 1497. http://dx.doi.org/10.3390/sym13081497.

Full text
Abstract:
Deep learning applications on computer vision involve the use of large-volume and representative data to obtain state-of-the-art results due to the massive number of parameters to optimise in deep models. However, data are limited with asymmetric distributions in industrial applications due to rare cases, legal restrictions, and high image-acquisition costs. Data augmentation based on deep learning generative adversarial networks, such as StyleGAN, has arisen as a way to create training data with symmetric distributions that may improve the generalisation capability of built models. StyleGAN generates highly realistic images in a variety of domains as a data augmentation strategy but requires a large amount of data to build image generators. Thus, transfer learning in conjunction with generative models are used to build models with small datasets. However, there are no reports on the impact of pre-trained generative models, using transfer learning. In this paper, we evaluate a StyleGAN generative model with transfer learning on different application domains—training with paintings, portraits, Pokémon, bedrooms, and cats—to generate target images with different levels of content variability: bean seeds (low variability), faces of subjects between 5 and 19 years old (medium variability), and charcoal (high variability). We used the first version of StyleGAN due to the large number of publicly available pre-trained models. The Fréchet Inception Distance was used for evaluating the quality of synthetic images. We found that StyleGAN with transfer learning produced good quality images, being an alternative for generating realistic synthetic images in the evaluated domains.
APA, Harvard, Vancouver, ISO, and other styles
4

Chiatti, Agnese, Gianluca Bardaro, Emanuele Bastianelli, Ilaria Tiddi, Prasenjit Mitra, and Enrico Motta. "Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching." Electronics 9, no. 3 (2020): 380. http://dx.doi.org/10.3390/electronics9030380.

Full text
Abstract:
To assist humans with their daily tasks, mobile robots are expected to navigate complex and dynamic environments, presenting unpredictable combinations of known and unknown objects. Most state-of-the-art object recognition methods are unsuitable for this scenario because they require that: (i) all target object classes are known beforehand, and (ii) a vast number of training examples is provided for each class. This evidence calls for novel methods to handle unknown object classes, for which fewer images are initially available (few-shot recognition). One way of tackling the problem is learning how to match novel objects to their most similar supporting example. Here, we compare different (shallow and deep) approaches to few-shot image matching on a novel data set, consisting of 2D views of common object types drawn from a combination of ShapeNet and Google. First, we assess if the similarity of objects learned from a combination of ShapeNet and Google can scale up to new object classes, i.e., categories unseen at training time. Furthermore, we show how normalising the learned embeddings can impact the generalisation abilities of the tested methods, in the context of two novel configurations: (i) where the weights of a Convolutional two-branch Network are imprinted and (ii) where the embeddings of a Convolutional Siamese Network are L2-normalised.
APA, Harvard, Vancouver, ISO, and other styles
5

Karara, Ghizlane, Rafika Hajji, and Florent Poux. "3D Point Cloud Semantic Augmentation: Instance Segmentation of 360° Panoramas by Deep Learning Techniques." Remote Sensing 13, no. 18 (2021): 3647. http://dx.doi.org/10.3390/rs13183647.

Full text
Abstract:
Semantic augmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionised image segmentation and classification, its impact on point cloud is an active research field. In this paper, we propose an instance segmentation and augmentation of 3D point clouds using deep learning architectures. We show the potential of an indirect approach using 2D images and a Mask R-CNN (Region-Based Convolution Neural Network). Our method consists of four core steps. We first project the point cloud onto panoramic 2D images using three types of projections: spherical, cylindrical, and cubic. Next, we homogenise the resulting images to correct the artefacts and the empty pixels to be comparable to images available in common training libraries. These images are then used as input to the Mask R-CNN neural network, designed for 2D instance segmentation. Finally, the obtained predictions are reprojected to the point cloud to obtain the segmentation results. We link the results to a context-aware neural network to augment the semantics. Several tests were performed on different datasets to test the adequacy of the method and its potential for generalisation. The developed algorithm uses only the attributes X, Y, Z, and a projection centre (virtual camera) position as inputs.
APA, Harvard, Vancouver, ISO, and other styles
6

Hudz, Olena. "Methods of developing artistic empathy of future Music teachers in the process of vocal training." Scientific bulletin of South Ukrainian National Pedagogical University named after K. D. Ushynsky 2020, no. 4 (133) (2020): 71–78. http://dx.doi.org/10.24195/2617-6688-2020-4-9.

Full text
Abstract:
The article substantiates the essence, content and method of developing artistic empathy. The purpose of the article is to substantiate the methods of vocal training that are effective in developing the artistic empathy of the future Music teachers. The purpose of the article is realised through the use of methods of theoretical research: analysis, synthesis, generalisation, deduction, induction, extrapolation. The article clarifies the meaning of the concept "empathy" as a psychological process based on penetration into the inner world of a person. Empathy is interpreted as the integration of emotional and cognitive aspects of cognition. The components of empathy in the context of psychological research have been determined. Empathy as a factor in regulating the effectiveness of pedagogical communication has been studied. Empathy acts as a tool for establishing emotional contact. The procedural aspect of empathy in the context of the teacher's activity is considered. The content of artistic empathy is considered as a process of sympathising with artistic phenomena. Artistic empathy is defined as the basis for comprehending an artistic image. In the context of Music teachers’ activities, artistic empathy is defined as a complex personal and professional entity that allows us to identify the emotional state of a person or the emotional portrait of a musical work. The artistic empathy causes a reaction of sympathy, which optimises artistic and pedagogical communication. It is noted that the vocal training of future Music teachers creates a unique platform for the development of artistic empathy. Two vectors of the artistic empathy within the activities of Music Arts teachers have been considered: empathic penetration into the emotional world of a musical work, and empathic penetration into the emotional world of students in the process of artistic and pedagogical communication. A list of effective methods of the vocal training which is aimed at developing art empathy of the future teachers of Musical Arts has been offered: a method of reflexive adjustment, a method of empathic supervision, a method of emotional collections, a method of vocal improvisation.
APA, Harvard, Vancouver, ISO, and other styles
7

Gómez-Suárez, Mónica, Myriam Quinones, and Maria Jesús Yagúe. "Store brand evaluative process in an international context." International Journal of Retail & Distribution Management 44, no. 7 (2016): 754–71. http://dx.doi.org/10.1108/ijrdm-11-2015-0168.

Full text
Abstract:
Purpose – The purpose of this paper is to analyse the relationships between the different phases of the store brand (SB) evaluative process (i.e. attitude, preference and purchase intention) in an international context and to investigate how each of them is influenced by selected perceptual characteristics of consumers, psychographic consumer traits and product evaluative criteria. Design/methodology/approach – The data were obtained from a survey of 1,118 shoppers from six different countries. Consecutive chained multiple and logistic regression models that incorporated the main antecedents into each stage were applied. Findings – The main results are as follows: first, quality inferences based on brand image and reputation have a significant positive effect on SB attitude; second, shoppers’ propensity to explore and their risk perceptions are antecedents of SB preference rather than SB attitude; and finally, impulsiveness has a significant positive impact on SB purchase intention. Practical implications – The results can assist retailers in developing strategies according to the specific phase of their customers’ evaluative process: promoting expert recommendations and opinion-leader testimonials in the attitude formation stage, investing in innovation in the preference formation stage and improving the overall shopping experience in the purchase intention stage. Originality/value – This paper extends research on the consumer decision-making process by empirically demonstrating that SB preference is a mediating variable between SB attitude and SB purchase intention. From a practical perspective, this work involves an extensive empirical study that aggregates data from shoppers across six Western countries. This multinational sample offers a high degree of external validity and generalisation of the results obtained.
APA, Harvard, Vancouver, ISO, and other styles
8

Courtial, Azelle, Achraf El Ayedi, Guillaume Touya, and Xiang Zhang. "Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation." ISPRS International Journal of Geo-Information 9, no. 5 (2020): 338. http://dx.doi.org/10.3390/ijgi9050338.

Full text
Abstract:
Among cartographic generalisation problems, the generalisation of sinuous bends in mountain roads has always been a popular one due to its difficulty. Recent research showed the potential of deep learning techniques to overcome some remaining research problems regarding the automation of cartographic generalisation. This paper explores this potential on the popular mountain road generalisation problem, which requires smoothing the road, enlarging the bend summits, and schematising the bend series by removing some of the bends. We modelled the mountain road generalisation as a deep learning problem by generating an image from input vector road data, and tried to generate it as an output of the model a new image of the generalised roads. Similarly to previous studies on building generalisation, we used a U-Net architecture to generate the generalised image from the ungeneralised image. The deep learning model was trained and evaluated on a dataset composed of roads in the Alps extracted from IGN (the French national mapping agency) maps at 1:250,000 (output) and 1:25,000 (input) scale. The results are encouraging as the output image looks like a generalised version of the roads and the accuracy of pixel segmentation is around 65%. The model learns how to smooth the output roads, and that it needs to displace and enlarge symbols but does not always correctly achieve these operations. This article shows the ability of deep learning to understand and manage the geographic information for generalisation, but also highlights challenges to come.
APA, Harvard, Vancouver, ISO, and other styles
9

Zhou, Kaiyang, Yongxin Yang, Timothy Hospedales, and Tao Xiang. "Deep Domain-Adversarial Image Generation for Domain Generalisation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 13025–32. http://dx.doi.org/10.1609/aaai.v34i07.7003.

Full text
Abstract:
Machine learning models typically suffer from the domain shift problem when trained on a source dataset and evaluated on a target dataset of different distribution. To overcome this problem, domain generalisation (DG) methods aim to leverage data from multiple source domains so that a trained model can generalise to unseen domains. In this paper, we propose a novel DG approach based on Deep Domain-Adversarial Image Generation (DDAIG). Specifically, DDAIG consists of three components, namely a label classifier, a domain classifier and a domain transformation network (DoTNet). The goal for DoTNet is to map the source training data to unseen domains. This is achieved by having a learning objective formulated to ensure that the generated data can be correctly classified by the label classifier while fooling the domain classifier. By augmenting the source training data with the generated unseen domain data, we can make the label classifier more robust to unknown domain changes. Extensive experiments on four DG datasets demonstrate the effectiveness of our approach.
APA, Harvard, Vancouver, ISO, and other styles
10

Zähle, Martina. "The Mean Minkowski Content of Homogeneous Random Fractals." Mathematics 8, no. 6 (2020): 883. http://dx.doi.org/10.3390/math8060883.

Full text
Abstract:
Homogeneous random fractals form a probabilistic generalisation of self-similar sets with more dependencies than in random recursive constructions. Under the Uniform Strong Open Set Condition we show that the mean D-dimensional (average) Minkowski content is positive and finite, where the mean Minkowski dimension D is, in general, greater than its almost sure variant. Moreover, an integral representation extending that from the special deterministic case is derived.
APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Generalisation of the image content"

1

Meunier-Caldairou, Valérie. "Analyse des transformations de l'information pour des images satellitaires classées au cours des procédures de généralisation de leur contenu : influence de différents niveaux de précision cartographique et de différentes nomenclatures." Toulouse 3, 1999. http://www.theses.fr/1999TOU30259.

Full text
Abstract:
L'objectif de ce travail porte sur l'analyse de la transformation de l'information au cours des procedures de generalisation du contenu. Deux methodes, le reechantillonnage modal et l'agregation ponderee par categorie (wilkinson, 1993) sont appliquees sur des images satellitales, spot/hrv classees. La thematique du motif paysager est analysee avec les donnees d'occupation du sol generalisees, croisees avec differentes donnees ancillaires. La classification en motifs paysagers s'effectue a l'aide de l'algorithme clapas (robbez-masson, 1994). L'experience est conduite sur trois sites du sud-ouest de la france. Les methodes d'evaluation des resultats pour les cartes d'occupation du sol et de motifs paysagers sont d'ordre statistique et sematique. Suit une analyse plus geometrique avec le calcul d'indice de forme. Cette premiere phase met en evidence les consequences et les limites des differents stades de generalisation. La seconde concerne le rapprochement a un meme niveau de precision cartographique, des images d'occupation du sol, des images de motifs paysagers, avec les extraits de corine land cover (5 ha). Le rapprochement s'est fait en terme de nomenclature, par une appreciation qualitative des erreurs d'affectation. Les resultats obtenus avec les cartes d'occupation du sol mettent en evidence qu'a partir d'un certain niveau de generalisation, les limites de l'analyse au pixel sont atteintes. De surcroit, l'evolution des valeurs d'indice de forme presente de forts biais. Les resultats obtenus avec les cartes de motifs paysagers montrent que la prise en compte du pixel dans son voisinage est une approche plus adaptee a la problematique de la generalisation du contenu. Les resultats concernant le rapprochement avec corine
APA, Harvard, Vancouver, ISO, and other styles
2

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tajima, Johji, and Tatsuya Kobayashi. "Content-Adaptive Automatic Image Sharpening." IEEE, 2010. http://hdl.handle.net/2237/14477.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Felhi, Mehdi. "Document image segmentation : content categorization." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0109/document.

Full text
Abstract:
Dans cette thèse, nous abordons le problème de la segmentation des images de documents en proposant de nouvelles approches pour la détection et la classification de leurs contenus. Dans un premier lieu, nous étudions le problème de l'estimation d'inclinaison des documents numérisées. Le but de ce travail étant de développer une approche automatique en mesure d'estimer l'angle d'inclinaison du texte dans les images de document. Notre méthode est basée sur la méthode Maximum Gradient Difference (MGD), la R-signature et la transformée de Ridgelets. Nous proposons ensuite une approche hybride pour la segmentation des documents. Nous décrivons notre descripteur de trait qui permet de détecter les composantes de texte en se basant sur la squeletisation. La méthode est appliquée pour la segmentation des images de documents numérisés (journaux et magazines) qui contiennent du texte, des lignes et des régions de photos. Le dernier volet de la thèse est consacré à la détection du texte dans les photos et posters. Pour cela, nous proposons un ensemble de descripteurs de texte basés sur les caractéristiques du trait. Notre approche commence par l'extraction et la sélection des candidats de caractères de texte. Deux méthodes ont été établies pour regrouper les caractères d'une même ligne de texte (mot ou phrase) ; l'une consiste à parcourir en profondeur un graphe, l'autre consiste à établir un critère de stabilité d'une région de texte. Enfin, les résultats sont affinés en classant les candidats de texte en régions « texte » et « non-texte » en utilisant une version à noyau du classifieur Support Vector Machine (K-SVM)<br>In this thesis I discuss the document image segmentation problem and I describe our new approaches for detecting and classifying document contents. First, I discuss our skew angle estimation approach. The aim of this approach is to develop an automatic approach able to estimate, with precision, the skew angle of text in document images. Our method is based on Maximum Gradient Difference (MGD) and R-signature. Then, I describe our second method based on Ridgelet transform.Our second contribution consists in a new hybrid page segmentation approach. I first describe our stroke-based descriptor that allows detecting text and line candidates using the skeleton of the binarized document image. Then, an active contour model is applied to segment the rest of the image into photo and background regions. Finally, text candidates are clustered using mean-shift analysis technique according to their corresponding sizes. The method is applied for segmenting scanned document images (newspapers and magazines) that contain text, lines and photo regions. Finally, I describe our stroke-based text extraction method. Our approach begins by extracting connected components and selecting text character candidates over the CIE LCH color space using the Histogram of Oriented Gradients (HOG) correlation coefficients in order to detect low contrasted regions. The text region candidates are clustered using two different approaches ; a depth first search approach over a graph, and a stable text line criterion. Finally, the resulted regions are refined by classifying the text line candidates into « text» and « non-text » regions using a Kernel Support Vector Machine K-SVM classifier
APA, Harvard, Vancouver, ISO, and other styles
5

Taner, Serdar. "Image Classification For Content Based Indexing." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/1093269/index.pdf.

Full text
Abstract:
As the size of image databases increases in time, the need for content based image indexing and retrieval become important. Image classification is a key to content based image indexing. In this thesis supervised learning with feed forward back propagation artificial neural networks is used for image classification. Low level features derived from the images are used to classify the images to interpret the high level features that yield semantics. Features are derived using detail histogram correlations obtained by Wavelet Transform, directional edge information obtained by Fourier Transform and color histogram correlations. An image database consisting of 357 color images of various sizes is used for training and testing the structure. The database is indexed into seven classes that represent scenery contents which are not mutually exclusive. The ground truth data is formed in a supervised fashion to be used in training the neural network and testing the performance. The performance of the structure is tested using leave one out method and comparing the simulation outputs with the ground truth data. Success, mean square error and the class recall rates are used as the performance measures. The performances of the derived features are compared with the color and texture descriptors of MPEG-7 using the structure designed. The results show that the performance of the method is comparable and better. This method of classification for content based image indexing is a reliable and valid method for content based image indexing and retrieval, especially in scenery image indexing.
APA, Harvard, Vancouver, ISO, and other styles
6

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.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

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

Full text
Abstract:
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 salient regions in the image and extracting local features as a representation of the regions. The experiments show an improvement for retrieval by local features when compared with retrieval using global features from the whole image. For situations where object retrieval is required and where the foreground and background can be assumed to have different characteristics, it is useful to exclude salient regions which are characteristic of the background if they can be identified before matching is undertaken. This thesis proposes techniques to filter out salient regions believed to be associated with the background area. Background filtering using background clusters is the first technique which is proposed in the situation where only the background information is available for training. The second technique is the K-NN classification based on the foreground and background probability. In the last chapter, the support vector machine (SVM) method with PCA-SIFT descriptors is applied in an attempt to improve classification into foreground and background salient region classes. Retrieval comparisons show that the use of salient region background filtering gives an improvement in performance when compared with the unfiltered method.
APA, Harvard, Vancouver, ISO, and other styles
8

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

Full text
Abstract:
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 image retrieval criteria by selecting a feature type from amongst color, texture or shape. The system retrieves images from the database that match the specified pattern and displays them by relevance. The user can enter a set of keywords or a combination of keywords that form the input text query. Images in the database that match the input text query are fetched and displayed. This ensures content based similar image search even for text based search. An efficient clustering algorithm is shown to improve the image retrieval by an order of magnitude.
APA, Harvard, Vancouver, ISO, and other styles
9

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

Full text
Abstract:
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 coe&plusmn<br>cients, calculated over structuring windows. SASI de&macr<br>nes a set of clique windows to extract and measure various structural properties of texture by using a spatial multi- resolution method. Experimental results, performed on various image databases, indicate that SASI is more successful then the Gabor Filter descriptors in cap- turing small granularities and discontinuities such as sharp corners and abrupt changes. Due to the &deg<br>exibility in designing the clique windows, SASI reaches higher average retrieval rates compared to Gabor Filter descriptors. However, the price of this performance is increased computational complexity. Since, retrieving of similar images of a given query image is a subjective task, it is desirable that retrieval mechanism should be con&macr<br>gurable by the user. In the proposed method, basically, original feature space of a content-based retrieval system is nonlinearly transformed into a new space, where the distance between the feature vectors is adjusted by learning. The transformation is realized by Arti&macr<br>cial Neural Network architecture. A cost function is de&macr<br>ned for learning and optimized by simulated annealing method. Experiments are done on the texture image retrieval system, which use SASI and Gabor Filter features. The results indicate that con&macr<br>gured image retrieval system is signi&macr<br>cantly better than the original system.
APA, Harvard, Vancouver, ISO, and other styles
10

Tekkaya, Gokhan. "Improving Interactive Classification Of Satellite Image Content." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608326/index.pdf.

Full text
Abstract:
Interactive classi&amp<br>#64257<br>cation is an attractive alternative and complementary for automatic classi&amp<br>#64257<br>cation of satellite image content, since the subject is visual and there are not yet powerful computational features corresponding to the sought visual features. In this study, we improve our previous attempt by building a more stable software system with better capabilities for interactive classi&amp<br>#64257<br>cation of the content of satellite images. The system allows user to indicate a few number of image regions that contain a speci&amp<br>#64257<br>c geographical object, for example, a bridge, and to retrieve similar objects on the same satellite images. Retrieval process is iterative in the sense that user guides the classi&amp<br>#64257<br>cation procedure by interaction and visual observation of the results. The classi&amp<br>#64257<br>cation procedure is based on one-class classi&amp<br>#64257<br>cation.
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Generalisation of the image content"

1

Eakins, John. Content-based image retrieval. Joint Information Systems Committee, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Eakins, J. P. Content-based image retrieval. JISC Technology Applications Pogramme, 1999.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tyagi, Vipin. Content-Based Image Retrieval. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6759-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Exploratory image databases: Content-based retrieval. Academic Press, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Marques, Oge. Content-based image and video retrieval. Kluwer Academic Publishers, 2002.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Marques, Oge, and Borko Furht. Content-Based Image and Video Retrieval. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0987-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Berman, Laurence D. The musical image: A theory of content. Greenwood Press, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Berman, Laurence. The musical image: A theory of content. Greenwood Press, 1993.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kushki, Azadeh. An interactive framework for content-based image retrieval. National Library of Canada, 2003.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

RIAO 88 (1988 Massachusetts Institute of Technology). User-oriented content-based text and image handling. [s.n.], 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Generalisation of the image content"

1

Kosch, Harald, and Mario Döller. "Image Content Modeling." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_1013-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Kosch, Harald, and Mario Döller. "Image Content Modeling." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kosch, Harald, and Mario Döller. "Image Content Modeling." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1013.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Lanham, Micheal. "Image to Image Content Generation." In Generating a New Reality. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7092-9_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Wang, Xiaoling, and Kanglin Xie. "Fuzzy Logic-Based Image Retrieval." In Content Computing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30483-8_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Yu-Jin. "Content-Based Retrieval." In Handbook of Image Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5873-3_44.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhou, Hong-Yu, and Jianxin Wu. "Content-Based Image Recovery." In Advances in Multimedia Information Processing – PCM 2017. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77383-4_59.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Ciocca, Gianluigi, Claudio Cusano, Francesca Gasparini, and Raimondo Schettini. "Content Aware Image Enhancement." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74782-6_59.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Yu, Sean, Pranav Joshi, Dong Woo Lee, and Moo-Yeal Lee. "High-Content Image Analysis." In Microarray Bioprinting Technology. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46805-1_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Diakopoulos, Nicholas, Irfan Essa, and Ramesh Jain. "Content Based Image Synthesis." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27814-6_37.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Generalisation of the image content"

1

Kirkerod, Mathias, Rune Johan Borgli, Vajira Thambawita, Steven Hicks, Michael Alexander Riegler, and Pal Halvorsen. "Unsupervised preprocessing to improve generalisation for medical image classification." In 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE, 2019. http://dx.doi.org/10.1109/ismict.2019.8743979.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Aldrian, Oswald, and William A. P. Smith. "Learning the nature of generalisation errors in a 3D morphable model." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5653015.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Marinovic, Igor, and Igor Furstner. "Content-based image retrieval." In 2008 6th International Symposium on Intelligent Systems and Informatics (SISY 2008). IEEE, 2008. http://dx.doi.org/10.1109/sisy.2008.4664916.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Datta, Ritendra, Jia Li, and James Z. Wang. "Content-based image retrieval." In the 7th ACM SIGMM international workshop. ACM Press, 2005. http://dx.doi.org/10.1145/1101826.1101866.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Zaheer, Yasir. "Content-based image retrieval." In Second International Conference on Digital Image Processing. SPIE, 2010. http://dx.doi.org/10.1117/12.853482.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Du, Xun, Honglin Li, and Stanley C. Ahalt. "Content-based image compression." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Edmund G. Zelnio. SPIE, 2001. http://dx.doi.org/10.1117/12.438199.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Baird, Henry S., Michael A. Moll, Chang An, and Matthew R. Casey. "Document image content inventories." In Electronic Imaging 2007, edited by Xiaofan Lin and Berrin A. Yanikoglu. SPIE, 2007. http://dx.doi.org/10.1117/12.705094.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Schettini, Raimondo, Carla Brambilla, A. Valsasna, and Mauro De Ponti. "Content-based image classification." In Electronic Imaging, edited by Giordano B. Beretta and Raimondo Schettini. SPIE, 1999. http://dx.doi.org/10.1117/12.373464.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zheng, Kaimei. "Content-Based Image Retrieval for Medical Image." In 2015 11th International Conference on Computational Intelligence and Security (CIS). IEEE, 2015. http://dx.doi.org/10.1109/cis.2015.61.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Srivastava, Awadhesh, and Kanad Kishore Biswas. "Fast Content Aware Image Retargeting." In Image Processing (ICVGIP). IEEE, 2008. http://dx.doi.org/10.1109/icvgip.2008.44.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Generalisation of the image content"

1

Brase, J. Image Content Engine (ICE). Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1046120.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dickinson, Sven J., and Suzanne Stevenson. Viewpoint - Invariant Indexing for Content Based Image Retreival. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada391690.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Acton, S., K. Skadron, S. Ozer, R. Sarkar, and D. Newell. Prototype for Meta-Algorithmic, Content-Aware Image Analysis. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada621858.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Sclaroff, Stan. Shape and Motion Categorization for Content-Based Image and Video Database Search. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada324626.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Sclaroff, Stan. Shape and Motion Categorization for Content-Based Image and Video Database Search. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328585.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Sclaroff, Stan. Shape and Motion Categorization for Content-Based Image and Video Database Search. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada366945.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Westfeld, Andreas. Better Steganalysis (BEST) - Reduction of Interfering Influence of Image Content on Steganalysis. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada524533.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Main, Robert G., John F. Long, and Wendi A. Beane. The Effect of Video Image Size and Screen Refresher Rate on Content Mastery and Source Credibility in Distance Learning Systems. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada370562.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Baluk, Nadia, Natalia Basij, Larysa Buk, and Olha Vovchanska. VR/AR-TECHNOLOGIES – NEW CONTENT OF THE NEW MEDIA. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.49.11074.

Full text
Abstract:
The article analyzes the peculiarities of the media content shaping and transformation in the convergent dimension of cross-media, taking into account the possibilities of augmented reality. With the help of the principles of objectivity, complexity and reliability in scientific research, a number of general scientific and special methods are used: method of analysis, synthesis, generalization, method of monitoring, observation, problem-thematic, typological and discursive methods. According to the form of information presentation, such types of media content as visual, audio, verbal and combined are defined and characterized. The most important in journalism is verbal content, it is the one that carries the main information load. The dynamic development of converged media leads to the dominance of image and video content; the likelihood of increasing the secondary content of the text increases. Given the market situation, the effective information product is a combined content that combines text with images, spreadsheets with video, animation with infographics, etc. Increasing number of new media are using applications and website platforms to interact with recipients. To proceed, the peculiarities of the new content of new media with the involvement of augmented reality are determined. Examples of successful interactive communication between recipients, the leading news agencies and commercial structures are provided. The conditions for effective use of VR / AR-technologies in the media content of new media, the involvement of viewers in changing stories with augmented reality are determined. The so-called immersive effect with the use of VR / AR-technologies involves complete immersion, immersion of the interested audience in the essence of the event being relayed. This interaction can be achieved through different types of VR video interactivity. One of the most important results of using VR content is the spatio-temporal and emotional immersion of viewers in the plot. The recipient turns from an external observer into an internal one; but his constant participation requires that the user preferences are taken into account. Factors such as satisfaction, positive reinforcement, empathy, and value influence the choice of VR / AR content by viewers.
APA, Harvard, Vancouver, ISO, and other styles
10

Sarofim, Samer. Developing an Effective Targeted Mobile Application to Enhance Transportation Safety and Use of Active Transportation Modes in Fresno County: The Role of Application Design & Content. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2013.

Full text
Abstract:
This research empirically investigates the need for, and the effective design and content of, a proposed mobile application that is targeted at pedestrians and cyclists in Fresno County. The differential effect of the proposed mobile app name and colors on the target audience opinions was examined. Further, app content and features were evaluated for importance and the likelihood of use. This included design appeal, attractiveness, relevance, ease of navigation, usefulness of functions, personalization and customization, message recipients’ attitudes towards message framing, and intended behaviors related to pedestrian, cyclist, and motorist traffic safety practices. Design mobile application features tested included image aesthetics, coherence and organization, and memorability and distinction. Potential engagement with the mobile app was assessed via measuring the users’ perceived enjoyment while using the app. The behavioral intentions to adopt the app and likelihood to recommend the app were assessed. The willingness to pay for purchasing the app was measured. This research provided evidence that a mobile application designed for pedestrians and cyclists is needed, with high intentions for its adoption. Functions, such as Safety Information, Weather Conditions, Guide to Trails, Events for Walkers and Bikers, and Promotional Offers are deemed important by the target population. This research was conducted in an effort to increase active transportation mode utilization and to enhance the safety of vulnerable road users. The public, city administrators, transportation authorities, and policy makers shall benefit from the results of this study by adapting the design and the features that are proposed in this research and were found appealing and useful for the target vulnerable road user groups. The need of the proposed mobile application and its main functions are established, based on the results of this research, which propagates further steps of implementation by city administrators and transportation authorities.
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography