Video summarization is receiving increasing attention due to the large amount of video content made available on the Internet. In this paper we present a novel idea to track video from multiple sources for video summarization. An algorithm that takes advantage of both video and closed caption text information for video scene clustering is described. Experimental results are given followed by di...

This paper describes a working system for the automated archiving and selective retrieval of textual, pictorial and auditory information contained in video programs. Video processing performs the task of representing the visual information using a small subset of the video frames. Linguistic processing refines the closed caption text, generates table of contents, and creates links to relevant m...

We describe an approach to Machine Translation of transcribed speech, as found in closed captions. We discuss how the colloquial nature and input format peculiarities of closed captions are dealt with in a pre-processing pipeline that prepares the input for effective processing by a core MT system. In particular, we describe components for proper name recognition and input segmentation. We eval...

Insect ScienceVolume 28, Issue 1 p. 3-3 CONTENTSFree Access Cover Caption First published: 03 January 2021 https://doi.org/10.1111/1744-7917.12803AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text full-text accessPlease review our Terms and Conditions of Use check box below share version article.I have read accept the Wiley Online...

This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents. The proposed approach aims at contributing to the semiodiscoursive study regarding the construction of the ethos (identity) of this media universe, which has become a central part of the modernday lives of millions of people. To...

This paper reports recent work at AT&T Laboratories Cambridge to develop retrieval systems for broadcast television and radio programmes. Unlike some other systems, it does not rely on manual classification or annotation of the broadcast material; it is indexed automatically from the air. While many digital video library projects focus solely on broadcast news, we have broadened our efforts to ...

In the modern era, image captioning has become one of most widely required tools. Moreover, there are inbuilt applications that generate and provide a caption for certain image, all these things done with help deep neural network models. The process generating description an is called captioning. It requires recognizing important objects, their attributes, relationships among objects in image. ...

A brochure from the breeding company contains a countless number of animals from which to select breeding stock. A caption below one of the ‘genetic prototypes’ reads “just feed Tender-Gro 30 days prior to slaughter and we ‘guarantee’ that animals fed this product will produce the most tender meat possible for your local packer, money back guarantee.” Another caption reads, “feed Gro-Fast to th...

In this paper, we describe our caption prediction and concept detection systems submitted for the ImageCLEF 2017 challenge. We submitted four runs for the caption prediction task and three runs for the concept detection task by using an attention-based image caption generation framework. The attention mechanism automatically learns to emphasize on salient parts of the medical image while genera...