نتایج جستجو برای: captions

تعداد نتایج: 1268  

Journal: :Protein Journal 2021

In the original version of this article, two minor errors appear in figure captions.

Journal: :Journal of the American Medical Informatics Association 2009

Journal: :IEEE Intelligent Systems 2002
Neil C. Rowe

page text describes associated images, and images are not captioned consistently. Content-based image retrieval systems that analyze the images themselves1 are progressing, but the systems require considerable image-preprocessing time. Furthermore, surveys of users doing image retrieval show that users are more interested in the identification of objects and actions depicted by images than in t...

Journal: :PROJECT (Professional Journal of English Education) 2018

Journal: :Zoomorphology 2022

Unfortunately, the captions of figures were incorrectly published in original publication. The corrected version updated here.

Journal: :CoRR 2016
Wenhu Chen Aurélien Lucchi Thomas Hofmann

State-of-the-art approaches for image captioning require supervised training data consisting of captions with paired image data. These methods are typically unable to use unsupervised data such as textual data with no corresponding images, which is a much more abundant commodity. We here propose a novel way of using such textual data by artificially generating missing visual information. We eva...

2018
Shigehiko Schamoni Julian Hitschler Stefan Riezler

We present a dataset and method for improving the translation of noisy image captions that were created by users of Wikimedia Commons. The dataset is multilingual but non-parallel, and is several orders of magnitude larger than existing parallel data for multimodal machine translation. Our retrieval-based method pivots on similar images and uses the associated captions in the target language to...

Journal: :CoRR 2017
Sangkuk Lee Daesik Kim Myunggi Lee Jihye Hwang Nojun Kwak

In this paper, we propose a new approach for retrieval of video segments using natural language queries. Unlike most previous approaches such as concept-based methods or rule-based structured models, the proposed method uses image captioning model to construct sentential queries for visual information. In detail, our approach exploits multiple captions generated by visual features in each image...

Journal: :IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021

Because of the rapid growth multimodal data from internet and social media, a cross-modal retrieval has become an important valuable task in recent years.The purpose is to obtain result one modality (e.g., image), which semantically similar query another text).In field remote sensing, despite great number existing works on image retrieval, there only been small amount research image-text due sc...

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