Results 131 to 140 of about 599,124 (143)
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Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
Content-based image retrieval relies on low-level image features such as color, texture and segmentation. Humans, however, search for images by their cognitive, deep meaning content. This paper introduces an approach and an algorithm for cognitive image retrieval. Each image is indexed by a visual object-process diagram (VOPD) that represents the image
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Content-based image retrieval relies on low-level image features such as color, texture and segmentation. Humans, however, search for images by their cognitive, deep meaning content. This paper introduces an approach and an algorithm for cognitive image retrieval. Each image is indexed by a visual object-process diagram (VOPD) that represents the image
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2006
This paper addresses the problem of texture retrieval by using a perceptual approach based on multiple viewpoints. We use a set of features that have a perceptual meaning corresponding to human visual perception. These features are estimated using a set of computational features that can be based on two viewpoints: the original images viewpoint and the
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This paper addresses the problem of texture retrieval by using a perceptual approach based on multiple viewpoints. We use a set of features that have a perceptual meaning corresponding to human visual perception. These features are estimated using a set of computational features that can be based on two viewpoints: the original images viewpoint and the
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2011
This chapter presents search methods for image retrieval which are boosted using the user’s supervision by means of the human–computer interaction methodology. Two contributions are presented which cover different aspects of this problem.
Alejandro Héctor Toselli +2 more
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This chapter presents search methods for image retrieval which are boosted using the user’s supervision by means of the human–computer interaction methodology. Two contributions are presented which cover different aspects of this problem.
Alejandro Héctor Toselli +2 more
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2001
Trademark image searching is potentially one of the most important application areas for automated content-based image retrieval (CBIR) techniques. There are many large and growing collections of trademark images in electronic form. The task of maintaining manual indexes to these image collections is becoming increasingly onerous.
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Trademark image searching is potentially one of the most important application areas for automated content-based image retrieval (CBIR) techniques. There are many large and growing collections of trademark images in electronic form. The task of maintaining manual indexes to these image collections is becoming increasingly onerous.
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2014
Scalable content based image search based on hash codes is hot topic nowadays. The existing hashing methods have a drawback of providing a fixed set of semantic preserving hash functions to the labelled data for the images. However, it may ignore the user’s search intention conveyed through the query image.
Bhamre, Snehal S., Shahane, N. M.
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Scalable content based image search based on hash codes is hot topic nowadays. The existing hashing methods have a drawback of providing a fixed set of semantic preserving hash functions to the labelled data for the images. However, it may ignore the user’s search intention conveyed through the query image.
Bhamre, Snehal S., Shahane, N. M.
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1998
The joint advances in several enabling technologies such as imaging devices and scanners, storage supports, compression standards, and multimedia architectures, are pulling the development of archives of digital images at an ever increasing rate. This type of archives is assuming a role of growing relevance within a wide range of information systems ...
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The joint advances in several enabling technologies such as imaging devices and scanners, storage supports, compression standards, and multimedia architectures, are pulling the development of archives of digital images at an ever increasing rate. This type of archives is assuming a role of growing relevance within a wide range of information systems ...
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A computer system that can browse, search, and retrieve images from a sizable collection of digital photos is known as an image retrieval system. The majority of conventional and widely used image retrieval techniques involve some form of metadata addition, such as captioning, keywords, title, or description, to the images in order to execute retrieval
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On image retrieval with wavelets
International Journal of Imaging Systems and Technology, 1996openaire +2 more sources