Results 81 to 90 of about 1,468,270 (262)

Blurring the Boundaries: An Investigation of Eating Disorder Recovery Content on TikTok

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Eating disorder recovery content is widely circulated on TikTok. We thematically analyzed recovery content on TikTok, examined its associations with symptom severity among individuals with eating disorders, and assessed its co‐occurrence with pro‐eating disorder material within their TikTok feeds.
Scott Griffiths, Isabel Martyn, Harish Kannan, Ben Stone, Emma Austen, Edoardo Tescari, Usha Nattala, Wesley Grey, Noa Brittain, Deborah Mitchison, Jake Linardon, Jasmine Fardouly, Emily Harris   +12 more
wiley   +1 more source

A Lightweight Visual Understanding System for Enhanced Assistance to the Visually Impaired Using an Embedded Platform

Diyala Journal of Engineering Sciences
Visually impaired individuals often face significant challenges in navigating their environments due to limited access to visual information. To address this issue, a portable, cost-effective assistive tool is proposed to operate on a low-power embedded
Adel Jalal Yousif, Mohammed H. Al-Jammas   +1 more
doaj   +1 more source

Thinking Hallucination for Video Captioning

, 2022
With the advent of rich visual representations and pre-trained language models, video captioning has seen continuous improvement over time. Despite the performance improvement, video captioning models are prone to hallucination.
Ullah, Nasib, Mohanta, Partha Pratim
core  

Disinformation and misinformation in epilepsy: An analysis of multiplatform short‐form social media video content

Epileptic Disorders, EarlyView.
Abstract Objective Short‐form social media content is increasing in popularity but is at risk for propagating health‐related disinformation/misinformation. We aimed to quantify epilepsy‐related disinformation/misinformation on three such platforms: TikTok, Instagram Reels, and YouTube Shorts.
Maggie St‐Pierre, Jimmy Li, Dènahin Hinnoutondji Toffa, Alexis Robin, Dang Khoa Nguyen   +4 more
wiley   +1 more source

End-to-end Dense Video Captioning as Sequence Generation [PDF]

, 2022
Dense video captioning aims to identify the events of interest in an input video, and generate descriptive captions for each event. Previous approaches usually follow a two-stage generative process, which first proposes a segment for each event, then ...
Zhu, Wanrong, Thapliyal, Ashish V., Pang, Bo, Wang, William Yang, Soricut, Radu   +4 more
core   +1 more source

Towards Human-Interactive Controllable Video Captioning with Efficient Modeling

Mathematics
Video captioning is a task of describing the visual scene of a given video in natural language. There have been several lines of research focused on developing large-scale models in a transfer learning paradigm, with major challenge being the tradeoff ...
Yoonseok Heo, Taehoon Kim, Seunghwan Kim, Jungyun Seo, Juae Kim   +4 more
doaj   +1 more source

Efficacy of stiripentol, fenfluramine, and their combination on clinical outcomes in Dravet syndrome: A preliminary report

Epilepsia Open, EarlyView.
Abstract Objective Stiripentol and fenfluramine are approved treatments for Dravet syndrome (DS), but real‐world data comparing their effectiveness and combined use remain limited. Our study aims to explore associations between treatment with stiripentol, fenfluramine, and their combination and clinical outcomes in patients with DS.
Paolo Surdi, Marina Trivisano, Mattia Mercier, Nicola Pietrafusa, Angela De Dominicis, Costanza Calabrese, Simona Cappelletti, Nicola Specchio   +7 more
wiley   +1 more source

Combinatorial Analysis of Deep Learning and Machine Learning Video Captioning Studies: A Systematic Literature Review

IEEE Access
Recent improvements formulated in the area of video captioning have brought rapid revolutions in its methods and the performance of its models. Machine learning and deep learning techniques are both employed in this regard.
Tanzila Kehkashan, Abdullah Alsaeedi, Wael M. S. Yafooz, Nor Azman Ismail, Arafat Al-Dhaqm   +4 more
doaj   +1 more source

Accurate and Fast Compressed Video Captioning [PDF]

Existing video captioning approaches typically require to first sample video frames from a decoded video and then conduct a subsequent process (e.g., feature extraction and/or captioning model learning). In this pipeline, manual frame sampling may ignore
Zhang, Libo, Xu, Kai, Shen, Yaojie, Gu, Xin, Fan, Heng, Wen, Longyin   +5 more
core   +1 more source

Large scale datasets for Image and Video Captioning in Italian

IJCoL, 2019
The application of Attention-based Deep Neural architectures to the automatic captioning of images and videos is enabling the development of increasingly performing systems.
Scaiella Antonio, Danilo Croce, Roberto Basili   +2 more
doaj   +1 more source