Results 1 - 10 of 3,759

LabelMe: A Database and Web-Based Tool for Image Annotation

by B. C. Russell, A. Torralba, K. P. Murphy, W. T. Freeman , 2008
"... We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a web-based tool that allows easy image annotation and instant sha ..."
Abstract - Cited by 679 (46 self) - Add to MetaCart
We seek to build a large collection of images with ground truth labels to be used for object detection and recognition research. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a web-based tool that allows easy image annotation and instant

Automatic Image Annotation and Retrieval using Cross-Media Relevance Models

by J. Jeon, V. Lavrenko, R. Manmatha , 2003
"... Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labor intensive procedure and hence there has been great interest in coming up with automatic ways to retrieve images based o ..."
Abstract - Cited by 431 (14 self) - Add to MetaCart
Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labor intensive procedure and hence there has been great interest in coming up with automatic ways to retrieve images based

Image Annotation

by Raphaël Marée, Marie Dumont, Pierre Geurts, Louis Wehenkel
"... Background: With the improvements in biosensors and high-throughput image acquisition technologies, life science laboratories are able to perform an increasing number of experiments that involve the generation of a large amount of images at different imaging modalities/scales. This stresses the need ..."
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the need for computer vision methods that automate image retrieval, classification, and annotation tasks. Method: We propose a unified framework involving the extraction of random subwindows (square patches) within images and the induction of ensemble of randomized trees [GEW06]. For image retrieval, we

Supervised learning of semantic classes for image annotation and retrieval

by Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2007
"... Abstract—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown that, by establishing this one-to- ..."
Abstract - Cited by 223 (18 self) - Add to MetaCart
Abstract—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown that, by establishing this one

A New Baseline for Image Annotation

by Ameesh Makadia, Vladimir Pavlovic, Sanjiv Kumar
"... Abstract. Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that give reasonable performance on standard datasets. However, mo ..."
Abstract - Cited by 138 (0 self) - Add to MetaCart
Abstract. Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been proposed for image annotation in the last decade that give reasonable performance on standard datasets. However

Semi-automatic image annotation

by Liu Wenyin, Susan Dumais, Yanfeng Sun, Hongjiang Zhang, Mary Czerwinski, Brent Field - In Proc. of Interact 2001: Conference on Human-Computer Interaction , 2001
"... Abstract: A novel approach to semi-automatically and progressively annotating images with keywords is presented. The progressive annotation process is embedded in the course of integrated keyword-based and content-based image retrieval and user feedback. When the user submits a keyword query and the ..."
Abstract - Cited by 57 (3 self) - Add to MetaCart
Abstract: A novel approach to semi-automatically and progressively annotating images with keywords is presented. The progressive annotation process is embedded in the course of integrated keyword-based and content-based image retrieval and user feedback. When the user submits a keyword query

Image annotation with photocopain

by Mischa M. Tuffield, Stephen Harris, Christopher Brewster, Nicholas Gibbins, Fabio Ciravegna, Derek Sleeman, Nigel R. Shadbolt, Yorick Wilks - In Proceedings of Semantic Web Annotation of Multimedia (SWAMM-06) Workshop at the World Wide Web Conference 06. WWW , 2006
"... Abstract. Photo annotation is a resource-intensive task, yet is increasingly essential as image archives and personal photo collections grow in size. There is an inherent conflict in the process of describing and archiving personal experiences, because casual users are generally unwilling to expend ..."
Abstract - Cited by 20 (4 self) - Add to MetaCart
Abstract. Photo annotation is a resource-intensive task, yet is increasingly essential as image archives and personal photo collections grow in size. There is an inherent conflict in the process of describing and archiving personal experiences, because casual users are generally unwilling to expend

Objective-guided Image Annotation

by Qi Mao, Ivor Wai-hung Tsang, Shenghua Gao , 2012
"... Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of major tools to enhance the semantic understanding of web images. Many multimedia applications (e.g., tag-based image retrieval) can greatly benefit from image annotation. However, the insuffic ..."
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Automatic image annotation, which is usually formulated as a multi-label classification problem, is one of major tools to enhance the semantic understanding of web images. Many multimedia applications (e.g., tag-based image retrieval) can greatly benefit from image annotation. However

Scalable Concept Image Annotation

by Xirong Li, Xixi He, Gang Yang, Qin Jin, Jieping Xu
"... Abstract. In this paper we describe our image annotation system par-ticipated in the ImageCLEF 2014 scalable concept image annotation task. The system is fully SVM based. Per concept we learn an ensemble of fast intersection kernel SVMs from three sources of training data, all obtained with manual a ..."
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Abstract. In this paper we describe our image annotation system par-ticipated in the ImageCLEF 2014 scalable concept image annotation task. The system is fully SVM based. Per concept we learn an ensemble of fast intersection kernel SVMs from three sources of training data, all obtained with manual

Web-scale Image Annotation

by Jiakai Liu, Rong Hu, Meihong Wang, Yi Wang, Edward Y. Chang
"... Abstract. In this paper, we describe our experiments using Latent Dirichlet Allocation (LDA) to model images containing both perceptual features and words. To build a large-scale image tagging system, we distribute the computation of LDA parameters using MapReduce. Empirical study shows that our sca ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
scalable LDA supports image annotation both effectively and efficiently.
Results 1 - 10 of 3,759