Results 11 to 20 of about 12,400,861 (233)

Parallelizing support vector machines for scalable image annotation [PDF]

, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
core   +7 more sources

Semantic, Automatic Image Annotation Based On Multi-Layered Active Contours and Decision Trees [PDF]

, 2013
In this paper, we propose a new approach for automatic image annotation (AIA) in order to automatically and efficiently assign linguistic concepts to visual data such as digital images, based on both numeric and semantic features.
Olszewska, Joanna Isabelle
core   +3 more sources

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, Bechkoum, Kamal, S. Oukid, Bouyerbou, Hafidha, Benblidia, Nadjia, N. Benblidia, H. Bouyerbou, K. Bechkoum   +7 more
core   +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, Wei Li, Hongda Zhang, Xin He, Mingxiao Zheng, Haiyu Song   +5 more
doaj   +1 more source

Image Retrieval: Modelling Keywords via Low-level Features

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2015
With the advent of cheap digital recording and storage devices and the rapidly increasing popularity of online social networks that make extended use of visual information, like Facebook and Instagram, image retrieval regained great attention among the ...
Zenonas Theodosiou
doaj   +1 more source

A New Approach for Automatic Object Labeling [PDF]

, 2012
In order to semantically label visual objects in a large amount of images, we propose a new approach which is fast and accurate. The developed automatic object labeling technique relies on the embedded double matching of local visual descriptors detected
Olszewska, Joanna Isabelle
core   +3 more sources

Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization

Journal of Pathology Informatics, 2011
Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem.
Angel Cruz-Roa, Gloria Díaz, Eduardo Romero, Fabio A González   +3 more
doaj   +1 more source

A Correlation Approach for Automatic Image Annotation

, 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.
Szedmak, S., David R. Hardoon, Hardoon, D., Craig Saunders, Shawe-Taylor, J., Sandor Szedmak, Saunders, C., John Shawe-Taylor   +7 more
core   +2 more sources

Current Trends and Future Directions of Large Scale Image and Video Annotation: Observations From Four Years of BIIGLE 2.0

Frontiers in Marine Science, 2021
Marine imaging has evolved from small, narrowly focussed applications to large-scale applications covering areas of several hundred square kilometers or time series covering observation periods of several months.
Martin Zurowietz, Tim W. Nattkemper
doaj   +1 more source

Automatic Annotation of Images from the Practitioner Perspective

, 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.
Lewis, Paul, Sandom, Christine J., Enser, Peter G.B.   +2 more
core   +2 more sources