Results 311 to 320 of about 6,675,235 (374)

Annotating Images by Mining Image Search Results

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel attempt at model-free image annotation, which is a data-driven approach that annotates images by mining their search results.
Wang, X.J., Zhang, L., Li, X., Ma, W.Y.
openaire   +4 more sources

End-to-End Automatic Image Annotation Based on Deep CNN and Multi-Label Data Augmentation

IEEE transactions on multimedia, 2019
Automatic image annotation is a key step in image retrieval and image understanding. In this paper, we present an end-to-end automatic image annotation method based on a deep convolutional neural network (CNN) and multi-label data augmentation. Different
Xiao Ke, Jiawei Zou, Yuzhen Niu
semanticscholar   +1 more source

Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation

IEEE transactions on multimedia, 2019
Multilabel image annotation attracts a lot of research interest due to its practicability in multimedia and computer vision fields, while the need for a large amount of labeled training data to achieve promising performance makes it a challenging task ...
Chang Tang, Xinwang Liu, Pichao Wang, Changqing Zhang, Miaomiao Li, Lizhe Wang   +5 more
semanticscholar   +1 more source

Fine-Tuning CNN Image Retrieval with No Human Annotation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
Image descriptors based on activations of Convolutional Neural Networks (CNNs) have become dominant in image retrieval due to their discriminative power, compactness of representation, and search efficiency.
Filip Radenovic, Giorgos Tolias, Ondřej Chum   +2 more
semanticscholar   +1 more source

Annotating gigapixel images

Proceedings of the 21st annual ACM symposium on User interface software and technology, 2008
Panning and zooming interfaces for exploring very large images containing billions of pixels (gigapixel images) have recently appeared on the internet. This paper addresses issues that arise when creating and rendering auditory and textual annotations for such images.
Qing Luan, Steven M. Drucker, Johannes Kopf, Ying-Qing Xu, Michael F. Cohen   +4 more
openaire   +1 more source

Image annotation watermarking

Proceedings of the 8th workshop on Multimedia and security, 2006
In this paper, we introduce to the special domain of image annotation watermarking, based on embedding of hierarchical data related to objects into user-selected areas on an image. In comparison to earlier methods, the main goal of the work presented here is to provide a specific robustness, specifically against cropping, in a way that preserves ...
Claus Vielhauer, Maik Schott
openaire   +1 more source

Geo-based automatic image annotation

Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 2012
A huge number of user-tagged images are daily uploaded to the web. Recently, a growing number of those images are also geotagged. These provide new opportunities for solutions to automatically tag images so that efficient image management and retrieval can be achieved. In this paper an automatic image annotation approach is proposed.
Mousselly-Sergieh, Hatem, Döller, Mario, Egyed-Zsigmond, Elod, Gianini, Gabriele, Kosch, Harald, Pinon, Jean-Marie   +5 more
openaire   +2 more sources

ByLabel: A Boundary Based Semi-Automatic Image Annotation Tool

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2018
This paper presents a novel boundary based semiautomatic tool, ByLabel, for accurate image annotation. Given an image, ByLabel first detects its edge features and computes high quality boundary fragments.
Xuebin Qin, Shida He, Zichen Vincent Zhang, Masood Dehghan, Martin Jägersand   +4 more
semanticscholar   +1 more source

Medical Images Annotation

2011
Image classification and automatic annotation could be treated as effective solutions to enable keyword-based semantic image retrieval. The importance of automatic image annotation has increased with the growth of the digital images collections being of great interest as it allows indexing, retrieving, and understanding of large collections of image ...
Liana Stanescu, Dumitru Dan Burdescu, Marius Brezovan, Cristian Gabriel Mihai   +3 more
openaire   +1 more source

Annotating Images

Images require an act of interpretation in order to capture their semantic content for (computational) retrieval and analysis, as there is no equivalent process such as transcription for text. The creation of image annotations is, therefore, a complex undertaking but a prerequisite not only for the application of digital meth­ods to art historical ...
Nicka, Isabella, Landkammer, Miriam, Uhl, Andreas, Linortner, Michael, Schuiki, Johannes   +4 more
openaire   +1 more source