Results 61 to 70 of about 1,468,270 (262)
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Concurrent collaborative captioning
, 2013 Captioned text transcriptions of the spoken word can benefit hearing impaired people, non native speakers, anyone if no audio is available (e.g. watching TV at an airport) and also anyone who needs to review recordings of what has been said (e.g.
Wald, Mike
core +1 more source
Parallel Pathway Dense Video Captioning With Deformable Transformer
IEEE Access, 2022 Dense video captioning is a very challenging task because it requires a high-level understanding of the video story, as well as pinpointing details such as objects and motions for a consistent and fluent description of the video.
Wangyu Choi, Jiasi Chen, Jongwon Yoon
doaj +1 more source
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization
, 2020 In this work, we propose a division-and-summarization (DaS) framework for dense video captioning. After partitioning each untrimmed long video as multiple event proposals, where each event proposal consists of a set of short video segments, we extract ...
Tan, Chuanqi +3 more
core +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT As modes of activism rapidly evolve, activists—both seasoned and emerging—must increasingly navigate a hybrid terrain of both digital and non‐digital engagement. This paper draws on the personal narratives of 16 nascent activists based in Australia to explore how they develop competencies related to digital storytelling, which is critical to ...
Garth Stahl +5 more
wiley +1 more source
Capturing Long-Range Dependencies in Video Captioning
, 2019 Most video captioning networks rely on recurrent models, including long short-term memory (LSTM). However, these recurrent models have a long-range dependency problem; thus, they are not sufficient for video encoding. To overcome this limitation, several
Sihyeon Seong +11 more
core +1 more source
Australian Journal of Social Issues, EarlyView.ABSTRACT Social inequity is increasing in Australia, often manifesting in entrenched locational disadvantage that requires place‐based responses grounded in local strengths, knowledge and participation. While community music programmes have demonstrated a range of positive social outcomes, their potential contribution to place‐based efforts addressing ...
Brydie‐Leigh Bartleet +6 more
wiley +1 more source
Captioning Multiple Speakers using Speech Recognition to Assist Disabled People
, 2008 Meetings and seminars involving many people speaking can be some of the hardest situations for deaf people to be able to follow what is being said and also for people with physical, visual or cognitive disabilities to take notes or remember key points ...
wald, mike
core +1 more source
Hierarchical Video-Moment Retrieval and Step-Captioning [PDF]
, 2023 There is growing interest in searching for information from large video corpora. Prior works have studied relevant tasks, such as text-based video retrieval, moment retrieval, video summarization, and video captioning in isolation, without an end-to-end ...
Zala, Abhay +6 more
core +1 more source
Semantic Grouping Network for Video Captioning
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 This paper considers a video caption generating network referred to as Semantic Grouping Network (SGN) that attempts (1) to group video frames with discriminating word phrases of partially decoded caption and then (2) to decode those semantically aligned groups in predicting the next word.
Hobin Ryu +3 more
openaire +4 more sources