Results 41 to 50 of about 1,468,270 (262)
Convolutional Reconstruction-to-Sequence for Video Captioning
Recent advances towards video captioning mainly follow an encoder-decoder (sequence-to-sequence) framework and generate captions via a recurrent neural network (RNN).
Wu, A, Han, Y, Yang, Y, Wu, F, Hu, Q
core +1 more source
Image captioning with memorized knowledge
Image captioning, which aims to automatically generate text description of given images, has received much attention from researchers. Most existing approaches adopt a recurrent neural network (RNN) as a decoder to generate captions conditioned on the ...
Chen, Hui +5 more
core +1 more source
The Effects of Captioning Videos Used for Foreign Language Listening Activities [PDF]
This study investigated the effects of captioning during video-based listening activities. Second- and fourth-year learners of Arabic, Chinese, Spanish, and Russian watched three short videos with and without captioning in randomized order.
Paula Winke +2 more
doaj
Guidance Module Network for Video Captioning [PDF]
Video captioning has been a challenging and significant task that describes the content of a video clip in a single sentence. The model of video captioning is usually an encoder-decoder. We find that the normalization of extracted video features can improve the final performance of video captioning.
Xiao Zhang +2 more
openaire +2 more sources
Video Captions Benefit Everyone [PDF]
Video captions, also known as same-language subtitles, benefit everyone who watches videos (children, adolescents, college students, and adults). More than 100 empirical studies document that captioning a video improves comprehension of, attention to, and memory for the video.
openaire +2 more sources
Dense video captioning involves identifying, localizing, and describing multiple events within a video. Capturing temporal and contextual dependencies between events is essential for generating coherent and accurate captions.
Dvijesh Bhatt, Priyank Thakkar
doaj +1 more source
Quality Enhancement Based Video Captioning in Video Communication Systems
Video captioning is an automatic task that collects natural language to represent visual content. Recently, it has achieved lots of amazing progress thanks to deep learning techniques.
The Van Le, Jin Young Lee
doaj +1 more source
Video Captioning Based on Channel Soft Attention and Semantic Reconstructor
Video captioning is a popular task which automatically generates a natural-language sentence to describe video content. Previous video captioning works mainly use the encoder–decoder framework and exploit special techniques such as attention mechanisms ...
Zhou Lei, Yiyong Huang
doaj +1 more source
Traditional video captioning requests a holistic description of the video, yet the detailed descriptions of the specific objects may not be available. Besides, most methods adopt frame-level inter-tangled features among objects and ambiguous descriptions
Fangyi Zhu +4 more
doaj +1 more source
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen +8 more
wiley +1 more source

