The ability to associate images with natural language sentences that describe what is depicted in them is a hallmark of image understanding, and a prerequisite for applications such as sentence-based image search. In analogy to image search, we propose to frame sentence-based image annotation as the task of ranking a given pool of captions. We introduce a new benchmark collection for sentence-b...

Identifying and extracting figures and tables along with their captions from scholarly articles is important both as a way of providing tools for article summarization, and as part of larger systems that seek to gain deeper, semantic understanding of these articles. While many “off-the-shelf” tools exist that can extract embedded images from these documents, e.g. PDFBox, Poppler, etc., these to...

INTRODUCTION The purpose of this study was to examine the influence of using Chinese captions vs. no captions on the Chinese (Mandarin) language comprehension of high intermediate universitylevel foreign language students. A total of 21 high intermediate (fifth semester) students participated in the study. The passage material consisted of a DVD episode (7 minutes) from a Chinese language inter...

Speech interfaces, such as personal assistants and screen readers, read image captions to users—but typically only one caption is available per image, which may not be adequate for all situations (e.g., browsing large quantities of images). Long provide a deeper understanding an but require more time listen to, whereas shorter allow thorough comprehension, yet have the advantage being faster co...

There are errors in the captions for Table 2, Fig 4 and Fig 5. Please find the corrected captions here. Copyright: © 2016 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

The captions for Figs 11, 12 and 13 are incorrectly switched. Please view Figs 11, 12 and 13 and their corrected captions here. access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

As a basis for automatic indexing to video data based on shot classi cation, we will present a graphical classi cation rule acquisition method based on semantics of accompanying natural language data i.e. captions. A preliminary experiment to actual television news programs showed good correspondence between graphical characteristics and semantic attributes of captions.

The captions for Figs 2 and 3 are incorrect. The correct, complete captions are: access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.