Results 71 to 80 of about 70,451 (127)
Medical image retrieval and automatic annotation: VPA-SABANCI at ImageCLEF 2009 [PDF]
, 2009 Advances in the medical imaging technology has lead to an exponential growth in the number of digital images that needs to be acquired, analyzed, classified, stored and retrieved in medical centers. As a result, medical image classification and retrieval
Akyuz, Sureyya +8 more
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Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis
The Scientific World Journal, 2014 Image segmentation and annotation are key components of image-based medical computer-aided diagnosis (CAD) systems. In this paper we present Ratsnake, a publicly available generic image annotation tool providing annotation efficiency, semantic awareness,
D. K. Iakovidis +3 more
doaj +1 more source
Automatic image annotation by a loosely joint non‐negative matrix factorisation
IET Computer Vision, 2015 Nowadays, the number of digital images has increased so that the management of this volume of data needs an efficient system for browsing, categorising and searching.
Roya Rad, Mansour Jamzad
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Cograph Regularized Collective Nonnegative Matrix Factorization for Multilabel Image Annotation
IEEE Access, 2019 Automatic image annotation is an effective and straightforward way to facilitate many applications in computer vision. However, manually annotating images is a computation-expensive and labor-intensive task. To address these problems, this paper proposes
Juli Zhang +3 more
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Automatic image annotation [PDF]
, 2013 Rozeznávání a porovnávání obrazu je jedním z hlavních problémů a okruhů oboru počitačového vidění. Tato práce k těmto dvěma problémům připojuje třetí, rozpoznání semantiky, významu obrazu, tzv. anotaci nebo label.
Hegmon, Jiří
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Enhancing Image Annotation With Object Tracking and Image Retrieval: A Systematic Review
IEEE AccessEffective image and video annotation is a fundamental pillar in computer vision and artificial intelligence, crucial for the development of accurate machine learning models.
Rodrigo Fernandes +5 more
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A KERNEL-BASED MULTI-FEATURE IMAGE REPRESENTATION FOR HISTOPATHOLOGY IMAGE CLASSIFICATION
Acta Biológica Colombiana, 2010 This paper presents a novel strategy for building a high-dimensional feature space to represent histopathology image contents. Histogram features, related to colors, textures and edges, are combined together in a unique image representation space using ...
J Carlos Moreno +2 more
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Image Annotation With YCbCr Color Features Based on Multiple Deep CNN- GLP
IEEE AccessDigital image collections are becoming increasingly popular due to their ease of use. Still, the need for adequate indexing information makes it difficult for users to find the specific images they need.
Myasar Mundher Adnan +6 more
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, 2008 Semantic spaces encode similarity relationships between objects as a function of position in a mathematical space. This paper discusses three different formulations for building semantic spaces which allow the automatic-annotation and semantic retrieval ...
Hare, Jonathan +3 more
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Overview of the 2005 cross-language image retrieval track (ImageCLEF) [PDF]
, 2005 The purpose of this paper is to outline efforts from the 2005 CLEF crosslanguage image retrieval campaign (ImageCLEF). The aim of this CLEF track is to explore the use of both text and content-based retrieval methods for cross-language image retrieval ...
Clough, P. +6 more
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