ClassTranscribe is an open-source, web-based platform that leverages crowdsourcing to address the problem of accurate, reliable and fast transcriptions of college lectures. Completed transcriptions provide search functionality that augments existing lecture recordings and enable enhanced educational features including closed captioning.

This Recommended Practice provides a common methodology for describing Transport Stream conformance criteria. This RP explicitly describes the elements and parameters of A/53 and A/65 that should be verified in an ATSC Transport Stream for it to be considered a proper emission. It does not cover RF, captioning, or elementary streams.

This Recommended Practice provides a common methodology for describing Transport Stream conformance criteria. This RP explicitly describes the elements and parameters of A/53 and A/65 that should be verified in an ATSC Transport Stream for it to be considered a proper emission. It does not cover RF, captioning, or elementary streams.

We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent. Our approach – Gradient-weighted Class Activation Mapping (Grad-CAM), uses the gradients of any target concept (say logits for ‘dog’ or even a caption), flowing into the final convolutional layer to produce a coarse localiz...

Dense video captioning aims to locate multiple events in an untrimmed and generate captions for each event. Previous methods experienced difficulties establishing the multimodal feature relationship between frames captions, resulting low accuracy of generated captions. To address this problem, a novel Video Captioning Model Based on Local Attention (DVCL) is proposed. DVCL employs 2D temporal d...

Image captions are abstract expressions of content representations using text sentences, helping readers to better understand and analyse information between different media. With the advantage encoder-decoder neural networks, can provide a rational structure for tasks such as image coding caption prediction. This work introduces Convolutional Neural Network (CNN) Bidirectional Content-Adaptive...