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Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008Although 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.
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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 +4 more
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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 +4 more
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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
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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
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Geo-based automatic image annotation
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, 2012A 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 +5 more
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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 +3 more
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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 +3 more
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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 +4 more
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Nicka, Isabella +4 more
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2006 International Conference on Image Processing, 2006
We propose an unsupervised approach to segment color images and annotate its regions. The annotation process uses a multi-modal thesaurus that is built from a large collection of training images by learning associations between low-level visual features and keywords.
Hichem Frigui, Joshua Caudill
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We propose an unsupervised approach to segment color images and annotate its regions. The annotation process uses a multi-modal thesaurus that is built from a large collection of training images by learning associations between low-level visual features and keywords.
Hichem Frigui, Joshua Caudill
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From Image Annotation to Image Description
2012In this paper, we address the problem of automatically generating a description of an image from its annotation. Previous approaches either use computer vision techniques to first determine the labels or exploit available descriptions of the training images to either transfer or compose a new description for the test image. However, none of them report
Ankush Gupta, Prashanth Mannem
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Annotating Images by Mining Image Search
2011Although it has been studied for years by computer vision and machine learning communities, image annotation is still far from practical. In this chapter, the authors propose a novel attempt of modeless image annotation, which investigates how effective a data-driven approach can be, and suggest annotating an uncaptioned image by mining its search ...
Xin-Jing Wang +3 more
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Semi-automatic Image Annotation
2013High quality ground truth data is essential for the development of image recognition systems. General purpose datasets are widely used in research, but they are not suitable as training sets for specialized real-world recognition tasks. The manual annotation of custom ground truth data sets is expensive, but machine learning techniques can be applied ...
Julia Moehrmann, Gunther Heidemann
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