Results 11 to 20 of about 30,584 (306)
A Correlation Approach for Automatic Image Annotation [PDF]
, 2006 The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learning for the automatic annotation of query images. We represent the images using scale invariant transformation descriptors in order to account for similar objects appearing at ...
David R. Hardoon +3 more
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A Framework for Evaluating Automatic Image Annotation Algorithms [PDF]
, 2010 Several Automatic Image Annotation (AIA) algorithms have been introduced recently, which have been found to outperform previous models. However, each one of them has been evaluated using either different descriptors, collections or parts of collections, or "easy" settings.
Athanasakos, K. +2 more
openaire +3 more sources
Automatic Annotation of Images from the Practitioner Perspective [PDF]
, 2005 This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive survey of the means by which real image retrieval transactions are realised is being undertaken.
Enser, Peter G.B. +2 more
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Automatic Multilevel Medical Image Annotation and Retrieval [PDF]
Journal of Digital Imaging, 2007 Image retrieval at the semantic level mostly depends on image annotation or image classification. Image annotation performance largely depends on three issues: (1) automatic image feature extraction; (2) a semantic image concept modeling; (3) algorithm for semantic image annotation. To address first issue, multilevel features are extracted to construct
Mueen, A., Zainuddin, R., Baba, M.S.
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Fuzzy Neighbor Voting for Automatic Image Annotation [PDF]
Journal of Electrical and Computer Engineering Innovations, 2016 With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image ...
V. Maihami, F. Yaghmaee
doaj +1 more source
ENCAPSULATION OF IMAGE METADATA FOR EASE OF RETRIEVAL AND MOBILITY [PDF]
Applied Computer Science, 2019 Increasing proliferation of images due to multimedia capabilities of hand-held devices has resulted in loss of source information resulting from inherent mobility.
Nancy WOODS, Charles ROBERT
doaj +1 more source
Hybrid image representation methods for automatic image annotation: a survey [PDF]
, 2012 In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Oukid, Saliha +7 more
core +1 more source
Image auto-annotation with automatic selection of the annotation length [PDF]
Journal of Intelligent Information Systems, 2012 Developing a satisfactory and effective method for auto-annotating images that works under general conditions is a challenging task. The advantages of such a system would be manifold: it can be used to annotate existing, large databases of images, rendering them accessible to text search engines; or it can be used as core for image retrieval based on a
Oskar Maier +2 more
openaire +1 more source
Automatic Annotation of Structured Facts in Images [PDF]
Proceedings of the 5th Workshop on Vision and Language, 2016 Motivated by the application of fact-level image understanding, we present an automatic method for data collection of structured visual facts from images with captions. Example structured facts include attributed objects (e.g., ), actions (e.g., ), interactions (e.g., ), and positional information (e.g., ).
Mohamed Elhoseiny +4 more
openaire +2 more sources
Automatic Image Annotation by Sequentially Learning From Multi-Level Semantic Neighborhoods
IEEE Access, 2021 Automatic image annotation is a key technology in image understanding and pattern recognition, and is becoming increasingly important in order to annotate large-scale images.
Houjie Li +5 more
doaj +1 more source