In this work, we showcase the Image2Text system, which is a real-time captioning system that can generate human-level natural language description for any input image. We formulate the problem of image captioning as a multimodal translation task. Analogous to machine translation, we present a sequence-to-sequence recurrent neural networks (RNN) model for image caption generation. Different from...

Image Captioning has gained tremendous spotlight in recent years. However, the captioning models generate captions English language. In this paper, we present an image caption generator for our regional language that is Hindi using Resnet50 and LSTM with attention module. An experimental study shown highlighting effect of attention-based learning on generated captions. Flickr8k dataset used to ...

Figure Caption Figure 1: The potential U(φ) with two relative minima φ ± .

This paper investigates the problem of efficiently describing broadcasted sports videos for effective multimedia applications. Considering the sports videos as a sequence of recurrent semantic story units, we propose a method for segmenting the sports videos into the story units and attaching the closed-caption segments, which correspond to the story units, as the detailed descriptions. This pr...

Captioning is widely used by second language learners as an assistive tool for listening. However, the use of captions often leads to word-by-word decoding and over-reliance on reading skill rather than improving listening skill. With the purpose of encouraging the learners to listen to the audio instead of merely reading the text, the study introduces a novel technique of captioning, partial a...

This paper presents the modeling approaches performed by the FHDO Biomedical Computer Science Group (BCSG) for the caption prediction task at ImageCLEF 2017. The goal of the caption prediction task is to recreate original image captions by detecting the interplay of present visible elements. A large-scale collection of 164,614 biomedical images, represented as imageID caption pairs, extracted f...

The captions for Figs 5 and 6 are incorrectly switched. The caption for Fig 5 should be the caption for Fig 6, and the caption for Fig 6 should be the caption for Fig 5. Please see the corrected captions here. Fig 5. A: Representative histological sections of jejunum showing the goblet cells with haematoxylin and eosin stain in mice on day 5 challenged with 5-FU (IP). They were fed with probiot...

ni les races, ni les générations, ni les frontières conventionnelles déterminant les limites géographiques de chaque continent et pays ne peuvent arrêter le pouvoir extensif des symbolisations différentes, dont les prémices naissent d’une imagination profonde et fertile. le symbole reste toujours au seuil d’un univers très différent de ce que l’on reçoit des réalités quotidiennes et visibles ; ...

Caption rate and text reduction are factors that appear to affect the comprehension of captions by people who are deaf or hard of hearing. These 2 factors are confounded in everyday captioning; rate (in words per minute) is slowed by text reduction. In this study, caption rate and text reduction were manipulated independently in 2 experiments to assess any differential effects and possible bene...