Results 111 to 120 of about 599,124 (143)
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2009 16th IEEE International Conference on Image Processing (ICIP), 2009
The paper presents a method for content-based image retrieval based on an evolutionary algorithm. Stochastic approaches have been applied with success in several optimization problems thanks to their capability to explore the solution space, in particular in complex, multidimensional spaces, avoiding local maxima of the target function.
Broilo, Mattia, De Natale, Francesco
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The paper presents a method for content-based image retrieval based on an evolutionary algorithm. Stochastic approaches have been applied with success in several optimization problems thanks to their capability to explore the solution space, in particular in complex, multidimensional spaces, avoiding local maxima of the target function.
Broilo, Mattia, De Natale, Francesco
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Image indexing and retrieval with Yael
ACM SIGMultimedia Records, 2015International ...
Douze, Matthijs, Jégou, Hervé
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Retrieval and classification of food images
Computers in Biology and Medicine, 2016Automatic food understanding from images is an interesting challenge with applications in different domains. In particular, food intake monitoring is becoming more and more important because of the key role that it plays in health and market economies. In this paper, we address the study of food image processing from the perspective of Computer Vision.
FARINELLA, GIOVANNI MARIA+4 more
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Topical Meeting On Signal Recovery and Synthesis II, 1986
In this review an overview will be given of the state-of-the-art in phase retrieval (PR). PR occurs in many different areas of signal processing: - in imaging, where the image only yields the modulus of the wavefunction in the image plane, while for the reconstruction of the object we also need its phase - in speckle interferometry where we obtain the ...
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In this review an overview will be given of the state-of-the-art in phase retrieval (PR). PR occurs in many different areas of signal processing: - in imaging, where the image only yields the modulus of the wavefunction in the image plane, while for the reconstruction of the object we also need its phase - in speckle interferometry where we obtain the ...
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Logical Image Modelling and Retrieval [PDF]
A logical model of images is presented, as a theoretical foundation of information systems allowing the retrieval of images on the basis of their form (typically via visual queries) and content. The proposed model offers a multiple representation of images, extending along three dimensions: form, content and abstraction.
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Virtual Reality for Image Retrieval
Journal of Visual Languages & Computing, 1998Image database systems have been widely studied in the last years. Having to deal with visual information, a great effort has also been put in designing and implementing user interfaces for the different retrieval engines. Most of those interfaces allow the user to specify the query through visual examples, either by feeding a complete image to the ...
J. ASSFALG+2 more
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2012
In this technical demonstration we present a content-based image retrieval system based on the 'query by example' paradigm. The system effectiveness will be proved for both category and target search on two standard image databases, even without a "good" initial example and ancillary information, such as device metadata, text annotations, etc.
CIOCCA, GIANLUIGI+3 more
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In this technical demonstration we present a content-based image retrieval system based on the 'query by example' paradigm. The system effectiveness will be proved for both category and target search on two standard image databases, even without a "good" initial example and ancillary information, such as device metadata, text annotations, etc.
CIOCCA, GIANLUIGI+3 more
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2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance characterization must be grounded in human evaluation. Thus we have collected a large data set of human evaluations of retrieval results, both for query by image example and query by ...
Nikhil Shirahatti, Kobus Barnard
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We present a comprehensive strategy for evaluating image retrieval algorithms. Because automated image retrieval is only meaningful in its service to people, performance characterization must be grounded in human evaluation. Thus we have collected a large data set of human evaluations of retrieval results, both for query by image example and query by ...
Nikhil Shirahatti, Kobus Barnard
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VIVIDNESS OF IMAGE AND RETRIEVAL TIME
Perceptual and Motor Skills, 1991The relationship between vividness of image and information-retrieval time was examined. In an integrated-image condition the retrieval time for a vivid-image set was shorter than the retrieval time for a dim-image set; on the other hand, there was no difference in retrieval time between vivid- and dim-image sets in a verbal-rehearsal condition. Since
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Photographic Image Retrieval [PDF]
CLEF was the first benchmarking campaign that organized an evaluation event for image retrieval: the ImageCLEF photographic ad hoc retrieval task in 2003. Since then, this task has become one of the most popular tasks of ImageCLEF, providing both the resources and a framework necessary to carry out comparative laboratory–style evaluation of multi ...
Monica Lestari Paramita+1 more
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