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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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Image retrieval by shape and texture
Pattern Recognition, 1999Abstract Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to recover pictorial data. Retrieval by image similarity given a template image is particularly challenging. The difficulty is to derive a similarity measure that combines shape, grey level patterns and texture in a way
PALA, PIETRO, S. SANTINI
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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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Proceedings of the 4th workshop on Patent information retrieval, 2011
Drawings are an important component of patents, and many search tasks in the intellectual property domain rely on the comparison of patent drawings. In this paper, we begin with a review of algorithms developed for the automated retrieval of similar images in the patent domain.
Allan Hanbury +3 more
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Drawings are an important component of patents, and many search tasks in the intellectual property domain rely on the comparison of patent drawings. In this paper, we begin with a review of algorithms developed for the automated retrieval of similar images in the patent domain.
Allan Hanbury +3 more
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Face Image Retrieval Revisited
2015The objective of face retrieval is to efficiently search an image database with detected faces and identify such faces that belong to the same person as a query face. Unlike most related papers, we concentrate on both retrieval effectiveness and efficiency.
Jan Sedmidubský +2 more
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A Description Logic for Image Retrieval
2000We present a simple description logic for semantic indexing in image retrieval. The language allows to describe complex shapes as composition of more simple ones, using geometric transformations to describe the relative positions of shape components. An extensional semantics is provided, which allows us to formally define reasoning services -such as ...
DI SCIASCIO, Eugenio +2 more
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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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Logical Image Modelling and Retrieval
The Computer Journal, 1996A 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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Compressive image retrieval with modified images
2015 10th Asian Control Conference (ASCC), 2015Many existing image retrieval methods cannot deal with modified query images because modified parts may largely change the original color, shape and texture information. Since every pixel's information of an image has possibility to be changed by editors, local features become less credible.
Chao Zhang 0030, Takuya Akashi
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Challenges of Image and Video Retrieval
2002What use is the sum of human knowledge if nothing can be found? Although significant advances have been made in text searching, only preliminary work has been done in finding images and videos in large digital collections. In fact, if we examine the most frequently used image and video retrieval systems (i.e.
M. S. Lew, Sebe, Niculae, J. P. Eakins
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